Monday Sep 09, 2013

Benchmarks Using Oracle Solaris 11

The following is a list of links to recent benchmarks which used Oracle Solaris 11.

BestPerf Index 26 September 2013

This is an occasionally-generated index of previous entries in the BestPerf blog. Skip to next entry

Colors used:

Benchmark
Best Practices
Index

Sep 26, 2013 SPARC M6-32 Delivers Oracle E-Business and PeopleSoft World Record Benchmarks, Linear Data Warehouse Scaling in a Virtualized Configuration
Sep 26, 2013 SPARC T5-8 Delivers World Record Single Server SPECjEnterprise2010 Benchmark, Utilizes Virtualized Environment
Sep 26, 2013 SPARC T5-2 Server Beats x86 Server on Oracle Database Transparent Data Encryption
Sep 25, 2013 SPARC T5-8 Delivers World Record Oracle OLAP Perf Version 3 Benchmark Result on Oracle Database 12c
Sep 25, 2013 SPARC T5 Encryption Performance Tops Intel E5-2600 v2 Processor
Sep 25, 2013 Sun Server X4-2 Delivers Single App Server, 2-Chip x86 World Record SPECjEnterprise2010
Sep 23, 2013 SPARC T5-2 Delivers Best 2-Chip MultiJVM SPECjbb2013 Result
Sep 18, 2013 Sun Server X4-2 Performance Running SPECjbb2013 MultiJVM Benchmark
Sep 10, 2013 Oracle ZFS Storage ZS3-4 Delivers World Record SPC-2 Performance
Sep 10, 2013 Oracle ZFS Storage ZS3-4 Produces Best 2-Node Performance on SPECsfs2008 NFSv3
Sep 10, 2013 Oracle ZFS Storage ZS3-2 Beats Comparable NetApp on SPECsfs2008 NFSv3
Jul 01, 2013 Quick Note about Blog Posting from John
Jun 12, 2013 SPARC T5-4 Produces World Record Single Server TPC-H @3000GB Benchmark Result
May 01, 2013 SPARC T5-8 Delivers Best Single System SPECjEnterprise2010 Benchmark, Beats IBM
Mar 29, 2013 SPARC T5 System Performance for Encryption Microbenchmark
Mar 26, 2013 SPARC T5-8 Produces TPC-C Benchmark Single-System World Record Performance
Mar 26, 2013 SPARC T5-8 Delivers SPECjEnterprise2010 Benchmark World Record Performance
Mar 26, 2013 SPARC T5-2 Achieves SPECjbb2013 Benchmark World Record Result
Mar 26, 2013 SPARC T5-8 Realizes SAP SD Two-Tier Benchmark World Record for 8 Chip Systems
Mar 26, 2013 SPARC M5-32 Produces SAP SD Two-Tier Benchmark World Record for SAP Enhancement Package 5 for SAP ERP 6.0
Mar 26, 2013 SPARC T5 Systems Deliver SPEC CPU2006 Rate Benchmark Multiple World Records
Mar 26, 2013 SPARC T5-2 Achieves JD Edwards EnterpriseOne Benchmark World Records
Mar 26, 2013 SPARC T5-2 Scores Siebel CRM Benchmark World Record
Mar 26, 2013 SPARC T5 Systems Produce Oracle TimesTen Benchmark World Record
Mar 26, 2013 SPARC T5-8 Delivers Oracle OLAP World Record Performance
Mar 26, 2013 SPARC T5-2 Achieves ZFS File System Encryption Benchmark World Record
Mar 26, 2013 SPARC T5-2 Obtains Oracle Internet Directory Benchmark World Record Performance
Mar 26, 2013 SPARC T5-2 Scores Oracle FLEXCUBE Universal Banking Benchmark World Record Performance
Mar 26, 2013 SPARC T5-2 Performance Running Oracle Fusion Middleware SOA
Mar 26, 2013 SPARC T5-1B Performance Running Oracle Communications ASAP
Mar 26, 2013 Benchmarks Using Oracle Solaris 11
Feb 22, 2013 Oracle Produces World Record SPECjbb2013 Result with Oracle Solaris and Oracle JDK
Feb 08, 2013 Improved Oracle Solaris 10 1/13 Secure Copy Performance for High Latency Networks
Nov 08, 2012 SPARC T4-4 Delivers World Record Performance on Oracle OLAP Perf Version 2 Benchmark
Nov 08, 2012 Improved Performance on PeopleSoft Combined Benchmark using SPARC T4-4
Oct 02, 2012 Performance of Oracle Business Intelligence Benchmark on SPARC T4-4
Oct 02, 2012 World Record Oracle E-Business Consolidated Workload on SPARC T4-2
Oct 02, 2012 World Record Siebel PSPP Benchmark on SPARC T4 Servers
Oct 02, 2012 SPARC T4-4 Delivers World Record First Result on PeopleSoft Combined Benchmark
Oct 01, 2012 World Record Batch Rate on Oracle JD Edwards Consolidated Workload with SPARC T4-2
Oct 01, 2012 Oracle TimesTen In-Memory Database Performance on SPARC T4-2
Oct 01, 2012 World Record Performance on PeopleSoft Enterprise Financials Benchmark on SPARC T4-2
Aug 28, 2012 SPARC T4-2 Produces World Record Oracle Essbase Aggregate Storage Benchmark Result
May 01, 2012 SPARC T4 Servers Running Oracle Solaris 11 and Oracle RAC Deliver World Record on PeopleSoft HRMS 9.1
Apr 19, 2012 Sun ZFS Storage 7420 Appliance Delivers 2-Node World Record SPECsfs2008 NFS Benchmark
Apr 15, 2012 Sun ZFS Storage 7420 Appliance Delivers Top High-End Price/Performance Result for SPC-2 Benchmark
Apr 12, 2012 Sun Fire X4270 M3 SAP Enhancement Package 4 for SAP ERP 6.0 (Unicode) Two-Tier Standard Sales and Distribution (SD) Benchmark
Apr 10, 2012 World Record Oracle E-Business Suite 12.1.3 Standard Extra-Large Payroll (Batch) Benchmark on Sun Server X3-2L
Apr 10, 2012 SPEC CPU2006 Results on Oracle's Sun x86 Servers
Apr 10, 2012 SPEC CPU2006 Results on Oracle's Netra Server X3-2
Mar 29, 2012 Sun Server X2-8 (formerly Sun Fire X4800 M2) Delivers World Record TPC-C for x86 Systems
Mar 29, 2012 Sun Server X2-8 (formerly Sun Fire X4800 M2) Posts World Record x86 SPECjEnterprise2010 Result
Feb 27, 2012 Sun ZFS Storage 7320 Appliance 33% Faster Than NetApp FAS3270 on SPECsfs2008
Jan 12, 2012 Netra SPARC T4-2 SPECjvm2008 World Record Performance
Nov 30, 2011 SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark
Nov 09, 2011 SPARC T4-2 Delivers World Record SPECjvm2008 Result with Oracle Solaris 11
Nov 02, 2011 SPARC T4-2 Server Beats 2-Socket 3.46 GHz x86 on Black-Scholes Option Pricing Test
Oct 03, 2011 SPARC T4-4 Servers Set World Record on SPECjEnterprise2010, Beats IBM POWER7, Cisco x86
Oct 03, 2011 SPARC T4-4 Beats IBM POWER7 and HP Itanium on TPC-H @1000GB Benchmark
Oct 03, 2011 Sun ZFS Storage 7420 Appliance Doubles NetApp FAS3270A on SPC-1 Benchmark
Oct 03, 2011 SPARC T4-4 Produces World Record Oracle OLAP Capacity
Sep 30, 2011 SPARC T4-2 Server Beats Intel (Westmere AES-NI) on ZFS Encryption Tests
Sep 30, 2011 SPARC T4 Processor Beats Intel (Westmere AES-NI) on AES Encryption Tests
Sep 29, 2011 SPARC T4 Processor Outperforms IBM POWER7 and Intel (Westmere AES-NI) on OpenSSL AES Encryption Test
Sep 29, 2011 SPARC T4-1 Server Outperforms Intel (Westmere AES-NI) on IPsec Encryption Tests
Sep 29, 2011 SPARC T4-2 Server Beats Intel (Westmere AES-NI) on SSL Network Tests
Sep 28, 2011 SPARC T4 Servers Set World Record on Oracle E-Business Suite R12 X-Large Order to Cash
Sep 28, 2011 SPARC T4-2 Server Beats Intel (Westmere AES-NI) on Oracle Database Tablespace Encryption Queries
Sep 28, 2011 SPARC T4 Servers Set World Record on PeopleSoft HRMS 9.1
Sep 27, 2011 SPARC T4-2 Servers Set World Record on JD Edwards EnterpriseOne Day in the Life Benchmark with Batch, Outperforms IBM POWER7
Sep 27, 2011 SPARC T4 Servers Set World Record on Siebel Loyalty Batch
Sep 27, 2011 SPARC T4-4 Server Sets World Record on PeopleSoft Payroll (N.A.) 9.1, Outperforms IBM Mainframe, HP Itanium
Sep 19, 2011 Halliburton ProMAX® Seismic Processing on Sun Blade X6270 M2 with Sun ZFS Storage 7320
Sep 15, 2011 Sun Fire X4800 M2 Servers (now known as Sun Server X2-8) Produce World Record on SAP SD-Parallel Benchmark
Sep 12, 2011 SPARC Enterprise M9000 Produces World Record SAP ATO Benchmark
Aug 12, 2011 Sun Blade X6270 M2 with Oracle WebLogic World Record 2 Processor SPECjEnterprise 2010 Benchmark
Jul 01, 2011 SPARC T3-1 Record Results Running JD Edwards EnterpriseOne Day in the Life Benchmark with Added Batch Component
Jun 10, 2011 SPARC Enterprise M5000 Delivers First PeopleSoft Payroll 9.1 Benchmark
Jun 03, 2011 SPARC Enterprise M8000 with Oracle 11g Beats IBM POWER7 on TPC-H @1000GB Benchmark
Mar 25, 2011 SPARC Enterprise M9000 with Oracle Database 11g Delivers World Record Single Server TPC-H @3000GB Result
Mar 23, 2011 SPARC T3-1B Doubles Performance on Oracle Fusion Middleware WebLogic Avitek Medical Records Sample Application
Mar 22, 2011 Netra SPARC T3-1 22% Faster Than IBM Running Oracle Communications ASAP
Feb 17, 2011 SPARC T3-1 takes JD Edwards "Day In the Life" benchmark lead, beats IBM Power7 by 25%
Dec 08, 2010 Sun Blade X6275 M2 Cluster with Sun Storage 7410 Performance Running Seismic Processing Reverse Time Migration
Dec 08, 2010 Sun Blade X6275 M2 Delivers Best Fluent (MCAE Application) Performance on Tested Configurations
Dec 07, 2010 Sun Blade X6275 M2 Server Module with Intel X5670 Processors SPEC CPU2006 Results
Dec 02, 2010 World Record TPC-C Result on Oracle's SPARC Supercluster with T3-4 Servers
Dec 02, 2010 World Record SPECweb2005 Result on SPARC T3-2 with Oracle iPlanet Web Server
Dec 02, 2010 World Record Performance on PeopleSoft Enterprise Financials Benchmark run on Sun SPARC Enterprise M4000 and M5000
Oct 26, 2010 3D VTI Reverse Time Migration Scalability On Sun Fire X2270-M2 Cluster with Sun Storage 7210
Oct 11, 2010 Sun SPARC Enterprise M9000 Server Delivers World Record Non-Clustered TPC-H @3000GB Performance
Sep 30, 2010 Consolidation of 30 x86 Servers onto One SPARC T3-2
Sep 29, 2010 SPARC T3-1 Delivers Record Number of Online Users on JD Edwards EnterpriseOne 9.0.1 Day in the Life Test
Sep 28, 2010 SPARC T3 Cryptography Performance Over 1.9x Increase in Throughput over UltraSPARC T2 Plus
Sep 28, 2010 SPARC T3-2 Delivers First Oracle E-Business X-Large Benchmark Self-Service (OLTP) Result
Sep 27, 2010 Sun Fire X2270 M2 Super-Linear Scaling of Hadoop Terasort and CloudBurst Benchmarks
Sep 27, 2010 SPARC T3-1 Shows Capabilities Running Online Auction Benchmark with Oracle Fusion Middleware
Sep 24, 2010 SPARC T3-2 sets World Record on SPECjvm2008 Benchmark
Sep 24, 2010 SPARC T3 Provides High Performance Security for Oracle Weblogic Applications
Sep 23, 2010 Sun Storage F5100 Flash Array with PCI-Express SAS-2 HBAs Achieves Over 17 GB/sec Read
Sep 23, 2010 SPARC T3-1 Performance on PeopleSoft Enterprise Financials 9.0 Benchmark
Sep 22, 2010 Oracle Solaris 10 9/10 ZFS OLTP Performance Improvements
Sep 22, 2010 SPARC T3-1 Supports 13,000 Users on Financial Services and Enterprise Application Integration Running Siebel CRM 8.1.1
Sep 21, 2010 ProMAX Performance and Throughput on Sun Fire X2270 and Sun Storage 7410
Sep 21, 2010 Sun Flash Accelerator F20 PCIe Cards Outperform IBM on SPC-1C
Sep 21, 2010 SPARC T3 Servers Deliver Top Performance on Oracle Communications Order and Service Management
Sep 20, 2010 Schlumberger's ECLIPSE 300 Performance Throughput On Sun Fire X2270 Cluster with Sun Storage 7410
Sep 20, 2010 Sun Fire X4470 4 Node Cluster Delivers World Record SAP SD-Parallel Benchmark Result
Sep 20, 2010 SPARC T3-4 Sets World Record Single Server Result on SPECjEnterprise2010 Benchmark
Aug 25, 2010 Transparent Failover with Solaris MPxIO and Oracle ASM
Aug 23, 2010 Repriced: SPC-1 Sun Storage 6180 Array (8Gb) 1.9x Better Than IBM DS5020 in Price-Performance
Aug 23, 2010 Repriced: SPC-2 (RAID 5 & 6 Results) Sun Storage 6180 Array (8Gb) Outperforms IBM DS5020 by up to 64% in Price-Performance
Jun 29, 2010 Sun Fire X2270 M2 Achieves Leading Single Node Results on ANSYS FLUENT Benchmark
Jun 29, 2010 Sun Fire X2270 M2 Demonstrates Outstanding Single Node Performance on MSC.Nastran Benchmarks
Jun 29, 2010 Sun Fire X2270 M2 Achieves Leading Single Node Results on ABAQUS Benchmark
Jun 29, 2010 Sun Fire X2270 M2 Sets World Record on SPEC OMP2001 Benchmark
Jun 29, 2010 Sun Fire X4170 M2 Sets World Record on SPEC CPU2006 Benchmark
Jun 29, 2010 Sun Blade X6270 M2 Sets World Record on SPECjbb2005 Benchmark
Jun 28, 2010 Sun Fire X4270 M2 Sets World Record on SPECjbb2005 Benchmark
Jun 28, 2010 Sun Fire X4470 Sets World Records on SPEC OMP2001 Benchmarks
Jun 28, 2010 Sun Fire X4470 Sets World Record on SPEC CPU2006 Rate Benchmark
Jun 28, 2010 Sun Fire X4470 2-Node Configuration Sets World Record for SAP SD-Parallel Benchmark
Jun 28, 2010 Sun Fire X4800 Sets World Record on SPECjbb2005 Benchmark
Jun 28, 2010 Sun Fire X4800 Sets World Records on SPEC CPU2006 Rate Benchmarks
Jun 10, 2010 Hyperion Essbase ASO World Record on Sun SPARC Enterprise M5000
Jun 09, 2010 PeopleSoft Payroll 500K Employees on Sun SPARC Enterprise M5000 World Record
Jun 03, 2010 Sun SPARC Enterprise T5440 World Record SPECjAppServer2004
May 11, 2010 Per-core Performance Myth Busting
Apr 14, 2010 Oracle Sun Storage F5100 Flash Array Delivers World Record SPC-1C Performance
Apr 13, 2010 Oracle Sun Flash Accelerator F20 PCIe Card Accelerates Web Caching Performance
Apr 06, 2010 WRF Benchmark: X6275 Beats Power6
Mar 29, 2010 Sun Blade X6275/QDR IB/ Reverse Time Migration
Feb 22, 2010 IBM POWER7 SPECfp_rate2006: Poor Scaling? Or Configuration Confusion?
Jan 25, 2010 Sun/Solaris Leadership in SAP SD Benchmarks and HP claims
Jan 21, 2010 SPARC Enterprise M4000 PeopleSoft NA Payroll 240K Employees Performance (16 Streams)
Dec 16, 2009 Sun Fire X4640 Delivers World Record x86 Result on SPEC OMPL2001
Nov 24, 2009 Sun M9000 Fastest SAP 2-tier SD Benchmark on current SAP EP4 for SAP ERP 6.0 (Unicode)
Nov 20, 2009 Sun Blade X6275 cluster delivers leading results for Fluent truck_111m benchmark
Nov 20, 2009 Sun Blade 6048 and Sun Blade X6275 NAMD Molecular Dynamics Benchmark beats IBM BlueGene/L
Nov 19, 2009 SPECmail2009: New World record on T5240 1.6GHz Sun 7310 and ZFS
Nov 18, 2009 Sun Flash Accelerator F20 PCIe Card Achieves 100K 4K IOPS and 1.1 GB/sec
Nov 04, 2009 New TPC-C World Record Sun/Oracle
Nov 02, 2009 Sun Blade X6275 Cluster Beats SGI Running Fluent Benchmarks
Nov 02, 2009 Sun Ultra 27 Delivers Leading Single Frame Buffer SPECviewperf 10 Results
Oct 28, 2009 SPC-2 Sun Storage 6780 Array RAID 5 & RAID 6 51% better $/performance than IBM DS5300
Oct 24, 2009 Sun C48 & Lustre fast for Seismic Reverse Time Migration using Sun X6275
Oct 24, 2009 Sun F5100 and Seismic Reverse Time Migration with faster Optimal Checkpointing
Oct 23, 2009 Wiki on performance best practices
Oct 20, 2009 Exadata V2 Information
Oct 15, 2009 Oracle Flash Cache - SGA Caching on Sun Storage F5100
Oct 13, 2009 Oracle Hyperion Sun M5000 and Sun Storage 7410
Oct 13, 2009 Sun T5440 Oracle BI EE Sun SPARC Enterprise T5440 World Record
Oct 13, 2009 SPECweb2005 on Sun SPARC Enterprise T5440 World Record using Solaris Containers and Sun Storage F5100 Flash
Oct 13, 2009 Oracle PeopleSoft Payroll (NA) Sun SPARC Enterprise M4000 and Sun Storage F5100 World Record Performance
Oct 13, 2009 SAP 2-tier SD Benchmark on Sun SPARC Enterprise M9000/32 SPARC64 VII
Oct 13, 2009 CP2K Life Sciences, Ab-initio Dynamics - Sun Blade 6048 Chassis with Sun Blade X6275 - Scalability and Throughput with Quad Data Rate InfiniBand
Oct 13, 2009 SAP 2-tier SD-Parallel on Sun Blade X6270 1-node, 2-node and 4-node
Oct 13, 2009 Halliburton ProMAX Oil & Gas Application Fast on Sun 6048/X6275 Cluster
Oct 13, 2009 SPECcpu2006 Results On MSeries Servers With Updated SPARC64 VII Processors
Oct 12, 2009 MCAE ABAQUS faster on Sun F5100 and Sun X4270 - Single Node World Record
Oct 12, 2009 MCAE ANSYS faster on Sun F5100 and Sun X4270
Oct 12, 2009 MCAE MCS/NASTRAN faster on Sun F5100 and Fire X4270
Oct 12, 2009 SPC-2 Sun Storage 6180 Array RAID 5 & RAID 6 Over 70% Better Price Performance than IBM
Oct 12, 2009 SPC-1 Sun Storage 6180 Array Over 70% Better Price Performance than IBM
Oct 12, 2009 Why Sun Storage F5100 is a good option for Peoplesoft NA Payroll Application
Oct 11, 2009 1.6 Million 4K IOPS in 1RU on Sun Storage F5100 Flash Array
Oct 11, 2009 TPC-C World Record Sun - Oracle
Oct 09, 2009 X6275 Cluster Demonstrates Performance and Scalability on WRF 2.5km CONUS Dataset
Oct 02, 2009 Sun X4270 VMware VMmark benchmark achieves excellent result
Sep 22, 2009 Sun X4270 Virtualized for Two-tier SAP ERP 6.0 Enhancement Pack 4 (Unicode) Standard Sales and Distribution (SD) Benchmark
Sep 01, 2009 String Searching - Sun T5240 & T5440 Outperform IBM Cell Broadband Engine
Aug 28, 2009 Sun X4270 World Record SAP-SD 2-Processor Two-tier SAP ERP 6.0 EP 4 (Unicode)
Aug 27, 2009 Sun SPARC Enterprise T5240 with 1.6GHz UltraSPARC T2 Plus Beats 4-Chip IBM Power 570 POWER6 System on SPECjbb2005
Aug 26, 2009 Sun SPARC Enterprise T5220 with 1.6GHz UltraSPARC T2 Sets Single Chip World Record on SPECjbb2005
Aug 12, 2009 SPECmail2009 on Sun SPARC Enterprise T5240 and Sun Java System Messaging Server 6.3
Jul 23, 2009 World Record Performance of Sun CMT Servers
Jul 22, 2009 Why does 1.6 beat 4.7?
Jul 21, 2009 Zeus ZXTM Traffic Manager World Record on Sun T5240
Jul 21, 2009 Sun T5440 Oracle BI EE World Record Performance
Jul 21, 2009 Sun T5440 World Record SAP-SD 4-Processor Two-tier SAP ERP 6.0 EP 4 (Unicode)
Jul 21, 2009 1.6 GHz SPEC CPU2006 - Rate Benchmarks
Jul 21, 2009 Sun Blade T6320 World Record SPECjbb2005 performance
Jul 21, 2009 New SPECjAppServer2004 Performance on the Sun SPARC Enterprise T5440
Jul 20, 2009 Sun T5440 SPECjbb2005 Beats IBM POWER6 Chip-to-Chip
Jul 20, 2009 New CMT results coming soon....
Jul 14, 2009 Vdbench: Sun StorageTek Vdbench, a storage I/O workload generator.
Jul 14, 2009 Storage performance and workload analysis using Swat.
Jul 10, 2009 World Record TPC-H@300GB Price-Performance for Windows on Sun Fire X4600 M2
Jul 06, 2009 Sun Blade 6048 Chassis with Sun Blade X6275: RADIOSS Benchmark Results
Jul 03, 2009 SPECmail2009 on Sun Fire X4275+Sun Storage 7110: Mail Server System Solution
Jun 30, 2009 Sun Blade 6048 and Sun Blade X6275 NAMD Molecular Dynamics Benchmark beats IBM BlueGene/L
Jun 26, 2009 Sun Fire X2270 Cluster Fluent Benchmark Results
Jun 25, 2009 Sun SSD Server Platform Bandwidth and IOPS (Speeds & Feeds)
Jun 24, 2009 I/O analysis using DTrace
Jun 23, 2009 New CPU2006 Records: 3x better integer throughput, 9x better fp throughput
Jun 23, 2009 Sun Blade X6275 results capture Top Places in CPU2006 SPEED Metrics
Jun 19, 2009 Pointers to Java Performance Tuning resources
Jun 19, 2009 SSDs in HPC: Reducing the I/O Bottleneck BluePrint Best Practices
Jun 17, 2009 The Performance Technology group wiki is alive!
Jun 17, 2009 Performance of Sun 7410 and 7310 Unified Storage Array Line
Jun 16, 2009 Sun Fire X2270 MSC/Nastran Vendor_2008 Benchmarks
Jun 15, 2009 Sun Fire X4600 M2 Server Two-tier SAP ERP 6.0 (Unicode) Standard Sales and Distribution (SD) Benchmark
Jun 12, 2009 Correctly comparing SAP-SD Benchmark results
Jun 12, 2009 OpenSolaris Beats Linux on memcached Sun Fire X2270
Jun 11, 2009 SAS Grid Computing 9.2 utilizing the Sun Storage 7410 Unified Storage System
Jun 10, 2009 Using Solaris Resource Management Utilities to Improve Application Performance
Jun 09, 2009 Free Compiler Wins Nehalem Race by 2x
Jun 08, 2009 Variety of benchmark results to be posted on BestPerf
Jun 05, 2009 Interpreting Sun's SPECpower_ssj2008 Publications
Jun 03, 2009 Wide Variety of Topics to be discussed on BestPerf
Jun 03, 2009 Welcome to BestPerf group blog!

Monday Jul 01, 2013

Quick Note about Blog Posting from John

Please have a look at John's Blog if you are interested in SPEC performance and how people use it in different ways to come to different conclusions.

Wednesday Jun 12, 2013

SPARC T5-4 Produces World Record Single Server TPC-H @3000GB Benchmark Result

Oracle's SPARC T5-4 server delivered world record single server performance of 409,721 QphH@3000GB with price/performance of $3.94/QphH@3000GB on the TPC-H @3000GB benchmark. This result shows that the 4-chip SPARC T5-4 server is significantly faster than the 8-chip server results from IBM (POWER7 based) and HP (Intel x86 based).

This result demonstrates a complete data warehouse solution that shows the performance both of individual and concurrent query processing streams, faster loading, and refresh of the data during business operations. The SPARC T5-4 server delivers superior performance and cost efficiency when compared to the IBM POWER7 result.

  • The SPARC T5-4 server with four SPARC T5 processors is 2.1 times faster than the IBM Power 780 server with eight POWER7 processors and 2.5 times faster than the HP ProLiant DL980 G7 server with eight x86 processors on the TPC-H @3000GB benchmark. The SPARC T5-4 server also delivered better performance per core than these eight processor systems from IBM and HP.

  • The SPARC T5-4 server with four SPARC T5 processors is 2.1 times faster than the IBM Power 780 server with eight POWER7 processors on the TPC-H @3000GB benchmark.

  • The SPARC T5-4 server costs 38% less per $/QphH@3000GB compared to the IBM Power 780 server with the TPC-H @3000GB benchmark.

  • The SPARC T5-4 server took 2 hours, 6 minutes, 4 seconds for data loading while the IBM Power 780 server took 2.8 times longer.

  • The SPARC T5-4 server executed the first refresh function (RF1) in 19.4 seconds, the IBM Power 780 server took 7.6 times longer.

  • The SPARC T5-4 server with four SPARC T5 processors is 2.5 times faster than the HP ProLiant DL980 G7 server with the same number of cores on the TPC-H @3000GB benchmark.

  • The SPARC T5-4 server took 2 hours, 6 minutes, 4 seconds for data loading while the HP ProLiant DL980 G7 server took 4.1 times longer.

  • The SPARC T5-4 server executed the first refresh function (RF1) in 19.4 seconds, the HP ProLiant DL980 G7 server took 8.9 times longer.

  • The SPARC T5-4 server delivered 6% better performance than the SPARC Enterprise M9000-64 server and 2.1 times better than the SPARC Enterprise M9000-32 server on the TPC-H @3000GB benchmark.

Performance Landscape

The table lists the leading TPC-H @3000GB results for non-clustered systems.

TPC-H @3000GB, Non-Clustered Systems
System
Processor
P/C/T – Memory
Composite
(QphH)
$/perf
($/QphH)
Power
(QppH)
Throughput
(QthH)
Database Available
SPARC T5-4
3.6 GHz SPARC T5
4/64/512 – 2048 GB
409,721.8 $3.94 345,762.7 485,512.1 Oracle 11g R2 09/24/13
SPARC Enterprise M9000
3.0 GHz SPARC64 VII+
64/256/256 – 1024 GB
386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g R2 09/22/11
SPARC T4-4
3.0 GHz SPARC T4
4/32/256 – 1024 GB
205,792.0 $4.10 190,325.1 222,515.9 Oracle 11g R2 05/31/12
SPARC Enterprise M9000
2.88 GHz SPARC64 VII
32/128/256 – 512 GB
198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g R2 12/09/10
IBM Power 780
4.1 GHz POWER7
8/32/128 – 1024 GB
192,001.1 $6.37 210,368.4 175,237.4 Sybase 15.4 11/30/11
HP ProLiant DL980 G7
2.27 GHz Intel Xeon X7560
8/64/128 – 512 GB
162,601.7 $2.68 185,297.7 142,685.6 SQL Server 2008 10/13/10

P/C/T = Processors, Cores, Threads
QphH = the Composite Metric (bigger is better)
$/QphH = the Price/Performance metric in USD (smaller is better)
QppH = the Power Numerical Quantity
QthH = the Throughput Numerical Quantity

The following table lists data load times and refresh function times during the power run.

TPC-H @3000GB, Non-Clustered Systems
Database Load & Database Refresh
System
Processor
Data Loading
(h:m:s)
T5
Advan
RF1
(sec)
T5
Advan
RF2
(sec)
T5
Advan
SPARC T5-4
3.6 GHz SPARC T5
02:06:04 1.0x 19.4 1.0x 22.4 1.0x
IBM Power 780
4.1 GHz POWER7
05:51:50 2.8x 147.3 7.6x 133.2 5.9x
HP ProLiant DL980 G7
2.27 GHz Intel Xeon X7560
08:35:17 4.1x 173.0 8.9x 126.3 5.6x

Data Loading = database load time
RF1 = power test first refresh transaction
RF2 = power test second refresh transaction
T5 Advan = the ratio of time to T5 time

Complete benchmark results found at the TPC benchmark website http://www.tpc.org.

Configuration Summary and Results

Hardware Configuration:

SPARC T5-4 server
4 x SPARC T5 processors (3.6 GHz total of 64 cores, 512 threads)
2 TB memory
2 x internal SAS (2 x 300 GB) disk drives

External Storage:

12 x Sun Storage 2540-M2 array with Sun Storage 2501-M2 expansion trays, each with
24 x 15K RPM 300 GB drives, 2 controllers, 2 GB cache
2 x Brocade 6510 Fibre Channel Switches (48 x 16 Gbs port each)

Software Configuration:

Oracle Solaris 11.1
Oracle Database 11g Release 2 Enterprise Edition

Audited Results:

Database Size: 3000 GB (Scale Factor 3000)
TPC-H Composite: 409,721.8 QphH@3000GB
Price/performance: $3.94/QphH@3000GB
Available: 09/24/2013
Total 3 year Cost: $1,610,564
TPC-H Power: 345,762.7
TPC-H Throughput: 485,512.1
Database Load Time: 2:06:04

Benchmark Description

The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB, 10000GB, 30000GB and 100000GB) are not allowed by the TPC.

TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system.

The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multiple user modes. The benchmark requires reporting of price/performance, which is the ratio of the total HW/SW cost plus 3 years maintenance to the QphH. A secondary metric is the storage efficiency, which is the ratio of total configured disk space in GB to the scale factor.

Key Points and Best Practices

  • Twelve of Oracle's Sun Storage 2540-M2 arrays with Sun Storage 2501-M2 expansion trays were used for the benchmark. Each contains 24 15K RPM drives and is connected to a single dual port 16Gb FC HBA using 2 ports through a Brocade 6510 Fibre Channel switch.

  • The SPARC T5-4 server achieved a peak IO rate of 33 GB/sec from the Oracle database configured with this storage.

  • Oracle Solaris 11.1 required very little system tuning.

  • Some vendors try to make the point that storage ratios are of customer concern. However, storage ratio size has more to do with disk layout and the increasing capacities of disks – so this is not an important metric when comparing systems.

  • The SPARC T5-4 server and Oracle Solaris efficiently managed the system load of two thousand Oracle Database parallel processes.

  • Six Sun Storage 2540-M2/2501-M2 arrays were mirrored to another six Sun Storage 2540-M2/25001-M2 arrays on which all of the Oracle database files were placed. IO performance was high and balanced across all the arrays.

  • The TPC-H Refresh Function (RF) simulates periodical refresh portion of Data Warehouse by adding new sales and deleting old sales data. Parallel DML (parallel insert and delete in this case) and database log performance are a key for this function and the SPARC T5-4 server outperformed both the IBM POWER7 server and HP ProLiant DL980 G7 server. (See the RF columns above.)

See Also

Disclosure Statement

TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org, results as of 6/7/13. Prices are in USD. SPARC T5-4 www.tpc.org/3288; SPARC T4-4 www.tpc.org/3278; SPARC Enterprise M9000 www.tpc.org/3262; SPARC Enterprise M9000 www.tpc.org/3258; IBM Power 780 www.tpc.org/3277; HP ProLiant DL980 www.tpc.org/3285. 

Wednesday May 01, 2013

SPARC T5-8 Delivers Best Single System SPECjEnterprise2010 Benchmark, Beats IBM

Oracle produced a world record single-server SPECjEnterprise2010 benchmark result of 27,843.57 SPECjEnterprise2010 EjOPS using one of Oracle's SPARC T5-8 servers for both the application and the database tier. This result directly compares the 8-chip SPARC T5-8 server (8 SPARC T5 processors) to the 8-chip IBM Power 780 server (8 POWER7+ processor).

  • The 8-chip SPARC T5 processor based server is 2.6x faster than the 8-chip IBM POWER7+ processor based server.

  • Both Oracle and IBM used virtualization to provide 4-chips for application and 4-chips for database.

  • The server cost/performance for the SPARC T5 processor based server was 6.9x better than the server cost/performance of the IBM POWER7+ processor based server. The cost/performance of the SPARC T5-8 server is $10.72 compared to the IBM Power 780 at $73.83.

  • The total configuration cost/performance (hardware+software) for the SPARC T5 processor based server was 3.6x better than the IBM POWER7+ processor based server. The cost/performance of the SPARC T5-8 server is $56.21 compared to the IBM Power 780 at $199.42. The IBM system had 1.6x better performance per core, but this did not reduce the total software and hardware cost to the customer. As shown by this comparison, performance-per-core is a poor predictor of characteristics relevant to customers.

  • The total IBM hardware plus software cost was $2,174,152 versus the total Oracle hardware plus software cost of $1,565,092. At this price IBM could only provide 768 GB of memory while Oracle was able to deliver 2 TB in the SPARC T5-8 server.

  • The SPARC T5-8 server requires only 8 rack units, the same as the space of the IBM Power 780. In this configuration IBM has a hardware core density of 4 cores per rack unit which contrasts with the 16 cores per rack unit for the SPARC T5-8 server. This again demonstrates why performance-per-core is a poor predictor of characteristics relevant to customers.

  • The virtualized SPARC T5 processor based server ran the application tier servers on 4 chips using Oracle Solaris Zones and the database tier in a 4-chip Oracle Solaris Zone. The virtualized IBM POWER7+ processor based server ran the application in a 4-chip LPAR and the database in a 4-chip LPAR.

  • The SPARC T5-8 server ran the Oracle Solaris 11.1 operating system and used Oracle Solaris Zones to consolidate eight Oracle WebLogic application server instances and one database server instance to achieve this result. The IBM system used LPARS and AIX V7.1.

  • This result demonstrated less than 1 second average response times for all SPECjEnterprise2010 transactions and represents JEE 5.0 transactions generated by 227,500 users.

  • The application server used Oracle Fusion Middleware components including the Oracle WebLogic 12.1 application server and Java HotSpot(TM) 64-Bit Server VM on Solaris, version 1.7.0_15. The database server was configured with Oracle Database 11g Release 2.

  • IBM has a non-virtualized result (one server for application and one server for database). The IBM PowerLinux 7R2 achieved 13,161.07 SPECjEnterprise2010 EjOPS which means it was 2.1x slower than the SPARC T5-8 server. The total configuration cost/performance (hardware+software) for the SPARC T5 processor based server was 11% better than the IBM POWER7+ processor based server. The cost/performance of the SPARC T5-8 server is $56.21 compared to the IBM PowerLinux 7R2 at $62.26. As shown by this comparison, performance-per-core is a poor predictor of characteristics relevant to customers.

Performance Landscape

Complete benchmark results are at the SPEC website, SPECjEnterprise2010 Results.

SPECjEnterprise2010 Performance Chart
Only Two Virtualized Results (App+DB on 1 Server) as of 5/1/2013
Submitter EjOPS* Java EE Server & DB Server
Oracle 27,843.57 1 x SPARC T5-8
8 chips, 128 cores, 3.6 GHz SPARC T5
Oracle WebLogic 12c (12.1.1)
Oracle Database 11g (11.2.0.3)
IBM 10,902.30 1 x IBM Power 780
8 chips, 32 cores, 4.42 GHz POWER7+
WebSphere Application Server V8.5
IBM DB2 Universal Database 10.1

* SPECjEnterprise2010 EjOPS (bigger is better)

Configuration Summary

Oracle Summary

Application and Database Server:

1 x SPARC T5-8 server, with
8 x 3.6 GHz SPARC T5 processors
2 TB memory
5 x 10 GbE dual-port NIC
6 x 8 Gb dual-port HBA
Oracle Solaris 11.1 SRU 4.5
Oracle WebLogic Server 12c (12.1.1)
Java HotSpot(TM) 64-Bit Server VM on Solaris, version 1.7.0_15
Oracle Database 11g (11.2.0.3)

Storage Servers:

6 x Sun Server X3-2L (12-Drive), with
2 x 2.4 GHz Intel Xeon
16 GB memory
1 x 8 Gb FC HBA
4 x Sun Flash Accelerator F40 PCI-E Card
Oracle Solaris 11.1

2 x Sun Storage 2540-M2 Array
12 x 600 GB 15K RPM SAS HDD

Switch Hardware:

1 x Sun Network 10 GbE 72-port Top of Rack (ToR) Switch

IBM Summary

Application and Database Server:

1 x IBM Power 780 server, with
8 x 4.42 GHz POWER7+ processors
786 GB memory
6 x 10 GbE dual-port NIC
3 x 8 Gb four-port HBA
IBM AIX V7.1 TL2
IBM WebSphere Application Server V8.5
IBM J9 VM (build 2.6, JRE 1.7.0 IBM J9 AIX ppc-32)
IBM DB2 10.1
IBM InfoSphere Optim pureQuery Runtime v3.1.1

Storage:

2 x DS5324 Disk System with
48 x 146GB 15K E-DDM Disks

1 x v7000 Disk Controller with
16 x 400GB SSD Disks

Benchmark Description

SPECjEnterprise2010 is the third generation of the SPEC organization's J2EE end-to-end industry standard benchmark application. The new SPECjEnterprise2010 benchmark has been re-designed and developed to cover the Java EE 5 specification's significantly expanded and simplified programming model, highlighting the major features used by developers in the industry today. This provides a real world workload driving the Application Server's implementation of the Java EE specification to its maximum potential and allowing maximum stressing of the underlying hardware and software systems,
  • The web zone, servlets, and web services
  • The EJB zone
  • JPA 1.0 Persistence Model
  • JMS and Message Driven Beans
  • Transaction management
  • Database connectivity
Moreover, SPECjEnterprise2010 also heavily exercises all parts of the underlying infrastructure that make up the application environment, including hardware, JVM software, database software, JDBC drivers, and the system network.

The primary metric of the SPECjEnterprise2010 benchmark is jEnterprise Operations Per Second (SPECjEnterprise2010 EjOPS). The primary metric for the SPECjEnterprise2010 benchmark is calculated by adding the metrics of the Dealership Management Application in the Dealer Domain and the Manufacturing Application in the Manufacturing Domain. There is NO price/performance metric in this benchmark.

Key Points and Best Practices

  • Eight Oracle WebLogic server instances on the SPARC T5-8 server were hosted in 8 separate Oracle Solaris Zones to demonstrate consolidation of multiple application servers. The 8 zones were bound to 4 resource pools using 64 cores (4 cpu chips).
  • The database ran in a separate Oracle Solaris Zone bound to a resource pool consisting 64 cores (4 cpu chips). The database shadow processes were run in the FX scheduling class and bound to one of four cpu chips using the plgrp command.
  • The Oracle WebLogic application servers were executed in the FX scheduling class to improve performance by reducing the frequency of context switches.
  • The Oracle log writer process was run in the FX scheduling class at processor priority 60 to use the Critical Thread feature.

See Also

Disclosure Statement

SPEC and the benchmark name SPECjEnterprise are registered trademarks of the Standard Performance Evaluation Corporation. Results from www.spec.org as of 5/1/2013. SPARC T5-8, 27,843.57 SPECjEnterprise2010 EjOPS; IBM Power 780, 10,902.30 SPECjEnterprise2010 EjOPS; IBM PowerLinux 7R2, 13,161.07 SPECjEnterprise2010 EjOPS. Oracle server only hardware list price is $298,494 and total hardware plus software list price is $1,565,092 from http://www.oracle.com as of  5/22/2013. IBM server only hardware list price is $804,931 and total hardware plus software cost of $2,174,152 based on public pricing from http://www.ibm.com as of 5/22/2013. IBM PowerLinux 7R2 server total hardware plus software cost of $819,451 based on public pricing from http://www.ibm.com as of 5/22/2013.

Friday Mar 29, 2013

SPARC T5 System Performance for Encryption Microbenchmark

The cryptography benchmark suite was internally developed by Oracle to measure the maximum throughput of in-memory, on-chip encryption operations that a system can perform. Multiple threads are used to achieve the maximum throughput. Systems powered by Oracle's SPARC T5 processor show outstanding performance on the tested encryption operations, beating Intel processor based systems.

  • A SPARC T5 processor running Oracle Solaris 11.1 runs from 2.4x to 4.4x faster on AES 256-bit key encryption than the Intel E5-2690 processor running in-memory encryption of 32 KB blocks using CFB128, CBC, CCM and GCM modes fully hardware subscribed.

  • AES CFB mode is used by the Oracle Database 11g for Transparent Data Encryption (TDE) which provides security to database storage.

Performance Landscape

Presented below are results for running encryption using the AES cipher with the CFB, CBC, CCM and GCM modes for key sizes of 128, 192 and 256. Decryption performance was similar and is not presented. Results are presented as MB/sec (10**6).

Encryption Performance – AES-CFB

Performance is presented for in-memory AES-CFB128 mode encryption. Multiple key sizes of 256-bit, 192-bit and 128-bit are presented. The encryption was performance on 32 KB of pseudo-random data (same data for each run).

AES-CFB
Microbenchmark Performance (MB/sec)
Processor GHz Chips Performance Software Environment
AES-256-CFB
SPARC T5 3.60 2 54,396 Oracle Solaris 11.1, libsoftcrypto + libumem
Intel E5-2690 2.90 2 12,823 IPP/AES-NI
AES-192-CFB
SPARC T5 3.60 2 61,000 Oracle Solaris 11.1, libsoftcrypto + libumem
Intel E5-2690 2.90 2 14,928 IPP/AES-NI
AES-128-CFB
SPARC T5 3.60 2 68,695 Oracle Solaris 11.1, libsoftcrypto + libumem
Intel E5-2690 2.90 2 17,824 IPP/AES-NI

Encryption Performance – AES-CBC

Performance is presented for in-memory AES-CBC mode encryption. Multiple key sizes of 256-bit, 192-bit and 128-bit are presented. The encryption was performance on 32 KB of pseudo-random data (same data for each run).

AES-CBC
Microbenchmark Performance (MB/sec)
Processor GHz Chips Performance Software Environment
AES-256-CBC
SPARC T5 3.60 2 56,933 Oracle Solaris 11.1, libsoftcrypto + libumem
Intel E5-2690 2.90 2 12,822 IPP/AES-NI
AES-192-CBC
SPARC T5 3.60 2 63,767 Oracle Solaris 11.1, libsoftcrypto + libumem
Intel E5-2690 2.90 2 14,915 IPP/AES-NI
AES-128-CBC
SPARC T5 3.60 2 72,508 Oracle Solaris 11.1, libsoftcrypto + libumem
SPARC T4 2.85 2 31,085 Oracle Solaris 11.1, libsoftcrypto + libumem
Intel X5690 3.47 2 20,721 IPP/AES-NI
Intel E5-2690 2.90 2 17,823 IPP/AES-NI

Encryption Performance – AES-CCM

Performance is presented for in-memory AES-CCM mode encryption with authentication. Multiple key sizes of 256-bit, 192-bit and 128-bit are presented. The encryption/authentication was performance on 32 KB of pseudo-random data (same data for each run).

AES-CCM
Microbenchmark Performance (MB/sec)
Processor GHz Chips Performance Software Environment
AES-256-CCM
SPARC T5 3.60 2 29,431 Oracle Solaris 11.1, libsoftcrypto + libumem
Intel E5-2690 2.90 2 12,493 IPP/AES-NI
AES-192-CCM
SPARC T5 3.60 2 33,715 Oracle Solaris 11.1, libsoftcrypto + libumem
Intel E5-2690 2.90 2 14,507 IPP/AES-NI
AES-128-CCM
SPARC T5 3.60 2 39,188 Oracle Solaris 11.1, libsoftcrypto + libumem
Intel E5-2690 2.90 2 17,256 IPP/AES-NI

Encryption Performance – AES-GCM

Performance is presented for in-memory AES-GCM mode encryption with authentication. Multiple key sizes of 256-bit, 192-bit and 128-bit are presented. The encryption/authentication was performance on 32 KB of pseudo-random data (same data for each run).

AES-GCM
Microbenchmark Performance (MB/sec)
Processor GHz Chips Performance Software Environment
AES-256-GCM
SPARC T5 3.60 2 34,101 Oracle Solaris 11.1, libsoftcrypto + libumem
Intel E5-2690 2.90 2 13,520 IPP/AES-NI
AES-192-GCM
SPARC T5 3.60 2 36,852 Oracle Solaris 11.1, libsoftcrypto + libumem
Intel E5-2690 2.90 2 14,159 IPP/AES-NI
AES-128-GCM
SPARC T5 3.60 2 39,003 Oracle Solaris 11.1, libsoftcrypto + libumem
Intel E5-2690 2.90 2 14,877 IPP/AES-NI

Configuration Summary

SPARC T5-2 server
2 x SPARC T5 processor, 3.6 GHz
512 GB memory
Oracle Solaris 11.1 SRU 4.2

Sun Server X3-2 server
2 x E5-2690 processors, 2.90 GHz
128 GB memory

Benchmark Description

The benchmark measures cryptographic capabilities in terms of general low-level encryption, in-memory and on-chip using various ciphers, including AES-128-CFB, AES-192-CFB, AES-256-CFB, AES-128-CBC, AES-192-CBC, AES-256-CBC, AES-128-CCM, AES-192-CCM, AES-256-CCM, AES-128-GCM, AES-192-GCM and AES-256-GCM.

The benchmark results were obtained using tests created by Oracle which use various application interfaces to perform the various ciphers. They were run using optimized libraries for each platform to obtain the best possible performance.

See Also

Disclosure Statement

Copyright 2013, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 3/26/2013.

Tuesday Mar 26, 2013

SPARC T5-8 Produces TPC-C Benchmark Single-System World Record Performance

Oracle's SPARC T5-8 server equipped with eight 3.6 GHz SPARC T5 processors obtained a result of 8,552,523 tpmC on the TPC-C benchmark. This result is a world record for single servers. Oracle demonstrated this world record database performance running Oracle Database 11g Release 2 Enterprise Edition with Partitioning.

  • The SPARC T5-8 server delivered a single system TPC-C world record of 8,552,523 tpmC with a price performance of $0.55/tpmC using Oracle Database 11g Release 2. This configuration is available 09/25/13.

  • The SPARC T5-8 server has 2.8x times better performance than the 4-processor IBM x3850 X5 system equipped with Intel Xeon processors.

  • The SPARC T5-8 server delivers 1.7x the performance compared to the next best eight processor result.

  • The SPARC T5-8 server delivers 2.4x the performance per chip compared to the IBM Power 780 3-node cluster result.

  • The SPARC T5-8 server delivers 1.8x the performance per chip compared to the IBM Power 780 non-clustered result.

  • The SPARC T5-8 server delivers 1.4x the performance per chip compared to the IBM Flex x240 Xeon result.

  • The SPARC T5-8 server delivers 1.7x the performance per chip compared to the Sun Server X2-8 system equipped with Intel Xeon processors.

  • The SPARC T5-8 server demonstrated over 3.1 Million 4KB IOP/sec with 76% idle, in a separate IO intensive workload, demonstrating its ability process a large IO workload with lots of processing headroom.

  • This result showed Oracle's integrated hardware and software stacks provide industry leading performance.

  • The Oracle solution utilized Oracle Solaris 11.1 with Oracle Database 11g Enterprise Edition with Partitioning and demonstrates stability and performance with this highly secure operating environment to produce the world record TPC-C benchmark performance.

Performance Landscape

Select TPC-C results (sorted by tpmC, bigger is better)

System p/c/t tpmC Price
/tpmC
Avail Database Memory
Size
IBM Power 780 Cluster 24/192/768 10,366,254 1.38 USD 10/13/2010 IBM DB2 9.7 6 TB
SPARC T5-8 8/128/1024 8,552,523 0.55 USD 9/25/2013 Oracle 11g R2 4 TB
IBM Power 595 32/64/128 6,085,166 2.81 USD 12/10/2008 IBM DB2 9.5 4 TB
Sun Server X2-8 8/80/160 5,055,888 0.89 USD 7/10/2012 Oracle 11g R2 4 TB
IBM x3850 X5 4/40/80 3,014,684 0.59 USD 7/11/2011 IBM DB2 9.7 3 TB
IBM Flex x240 2/16/32 1,503,544 0.53 USD 8/16/2012 IBM DB2 9.7 768 GB
IBM Power 780 2/8/32 1,200,011 0.69 USD 10/13/2010 IBM DB2 9.5 512 GB

p/c/t - processors, cores, threads
Avail - availability date

Oracle and IBM TPC-C Response times

System tpmC Response Time (sec)
New Order 90th%
Response Time (sec)
New Order Average
IBM Power 780 Cluster 10,366,254 2.100 1.137
SPARC T5-8 8,552,523 0.410 0.234
IBM Power 595 6,085,166 1.690 1.220
IBM Power 780 1,200,011 0.694 0.403

Oracle uses Response Time New Order Average and Response Time New Order 90th% for comparison between Oracle and IBM.

Graphs of Oracle's and IBM's Response Time New Order Average and Response Time New Order 90th% can be found in the full disclosure reports on TPC's website TPC-C Official Result Page.

Configuration Summary and Results

Hardware Configuration:

Server
SPARC T5-8
8 x 3.6 GHz SPARC T5
4 TB memory
2 x 600 GB 10K RPM SAS2 internal disks
12 x 8 Gbs FC HBA

Data Storage
54 x Sun Server X3-2L systems configured as COMSTAR heads, each with
2 x 2.4 GHz Intel Xeon E5-2609 processors
16 GB memory
4 x Sun Flash Accelerator F40 PCIe Cards (400 GB each)
12 x 3 TB 7.2K RPM 3.5" SAS disks
2 x 600 GB 10K RPM SAS2 disks
2 x Brocade 6510 switches

Redo Storage
2 x Sun Server X3-2L systems configured as COMSTAR heads, each with
2 x 2.4 GHz Intel Xeon E5-2609 processors
16 GB memory
12 x 3 TB 7.2K RPM 3.5" SAS disks
2 x 600 GB 10K RPM SAS2 disks

Clients
16 x Sun Server X3-2 servers, each with
2 x 2.9 GHz Intel Xeon E5-2690 processors
64 GB memory
2 x 600 GB 10K RPM SAS2 disks

Software Configuration:

Oracle Solaris 11.1 SRU 4.5 (for SPARC T5-8)
Oracle Solaris 11.1 (for COMSTAR systems)
Oracle Database 11g Release 2 Enterprise Edition with Partitioning
Oracle iPlanet Web Server 7.0 U5
Oracle Tuxedo CFS-R

Results:

System: SPARC T5-8
tpmC: 8,552,523
Price/tpmC: 0.55 USD
Available: 9/25/2013
Database: Oracle Database 11g
Cluster: no
Response Time New Order Average: 0.234 seconds

Benchmark Description

TPC-C is an OLTP system benchmark. It simulates a complete environment where a population of terminal operators executes transactions against a database. The benchmark is centered around the principal activities (transactions) of an order-entry environment. These transactions include entering and delivering orders, recording payments, checking the status of orders, and monitoring the level of stock at the warehouses.

Key Points and Best Practices

  • Oracle Database 11g Release 2 Enterprise Edition with Partitioning scales easily to this high level of performance.

  • COMSTAR (Common Multiprotocol SCSI Target) is the software framework that enables an Oracle Solaris host to serve as a SCSI Target platform. COMSTAR uses a modular approach to break the huge task of handling all the different pieces in a SCSI target subsystem into independent functional modules which are glued together by the SCSI Target Mode Framework (STMF). The modules implementing functionality at SCSI level (disk, tape, medium changer etc.) are not required to know about the underlying transport. And the modules implementing the transport protocol (FC, iSCSI, etc.) are not aware of the SCSI-level functionality of the packets they are transporting. The framework hides the details of allocation providing execution context and cleanup of SCSI commands and associated resources and simplifies the task of writing the SCSI or transport modules.

  • Oracle iPlanet Web Server middleware is used for the client tier of the benchmark. Each web server instance supports more than a quarter-million users while satisfying the response time requirement from the TPC-C benchmark.

See Also

Disclosure Statement

TPC Benchmark C, tpmC, and TPC-C are trademarks of the Transaction Processing Performance Council (TPC). SPARC T5-8 (8/128/1024) with Oracle Database 11g Release 2 Enterprise Edition with Partitioning, 8,552,523 tpmC, $0.55 USD/tpmC, available 9/25/2013. IBM Power 780 Cluster (24/192/768) with DB2 ESE 9.7, 10,366,254 tpmC, $1.38 USD/tpmC, available 10/13/2010. IBM x3850 X5 (4/40/80) with DB2 ESE 9.7, 3,014,684 tpmC, $0.59 USD/tpmC, available 7/11/2011. IBM x3850 X5 (4/32/64) with DB2 ESE 9.7, 2,308,099 tpmC, $0.60 USD/tpmC, available 5/20/2011. IBM Flex x240 (2/16/32) with DB2 ESE 9.7, 1,503,544 tpmC, $0.53 USD/tpmC, available 8/16/2012. IBM Power 780 (2/8/32) with IBM DB2 9.5, 1,200,011 tpmC, $0.69 USD/tpmC, available 10/13/2010. Source: http://www.tpc.org/tpcc, results as of 3/26/2013.

SPARC T5-8 Delivers SPECjEnterprise2010 Benchmark World Record Performance

Oracle produced a world record SPECjEnterprise2010 benchmark result of 57,422.17 SPECjEnterprise2010 EjOPS using Oracle's SPARC T5-8 server in the application tier and another SPARC T5-8 server for the database tier.

  • The SPARC T5-8 server demonstrated 3.4x better performance compared to an 8-socket IBM Power 780 server result of 16,646.34 SPECjEnterprise2010 EjOPS. The SPARC T5-8 is 3.7x less expensive for the application server hardware list cost compared to the IBM configuration.

  • The SPARC T5 processor demonstrated 1.7x better performance per core compared to the POWER7 processor used in the IBM Power 780 SPECjEnterprise2010 result.

  • The SPARC T5-8 server demonstrated 2.2x better performance compared to the Cisco UCS B440 M2 Blade Server result of 26,118.67 SPECjEnterprise2010 EjOPS.

  • The SPARC T5-8 servers used in the application and database tiers ran the Oracle Solaris 11.1 operating system.

  • The SPARC T5-8 server for the application tier used Oracle Solaris Zones to consolidate sixteen Oracle WebLogic Server instances to achieve this result.

  • This result demonstrated less than 1 second response time for all SPECjEnterprise2010 transactions, while demonstrating a sustained load of Java EE 5 transactions equivalent to 468,000 users.

  • The SPARC T5-8 application server used Oracle Fusion Middleware components including the Oracle WebLogic 12.1 application server and Oracle JDK 7 Update 15. The SPARC T5-8 database server was configured with Oracle Database 11g Release 2.

  • This result used six Sun Server X3-2L systems each configured with 4 x 400 GB Sun Flash Accelerator F40 PCIe Card devices as storage servers for the database files.

  • This result represents the best performance/socket for a single system in the application tier of 7,177.77 SPECjEnterprise2010 EjOPS per socket.

  • A single SPARC T5-8 server in the application tier producing 57,422.17 SPECjEnterprise2010 EjOPS can replace a total of 4x SPARC T4-4 servers that obtained 40,104.86 SPECjEnterprise2010 EjOPS. A single SPARC T5-8 server in the application tier producing 57,422.17 SPECjEnterprise2010 EjOPS can replace 6x SPARC T3-4 servers where each SPARC T3-4 server obtained 9,456.28 SPECjEnterprise2010 EjOPS.

  • Oracle Fusion Middleware provides a family of complete, integrated, hot pluggable and best-of-breed products known for enabling enterprise customers to create and run agile and intelligent business applications. Oracle WebLogic Server's on-going, record-setting Java application server performance demonstrates why so many customers rely on Oracle Fusion Middleware as their foundation for innovation.

Performance Landscape

Complete benchmark results are at the SPEC website, SPECjEnterprise2010 Results.

SPECjEnterprise2010 Performance Chart
as of 3/26/2013
Submitter EjOPS* Java EE Server DB Server
Oracle 57,422.17 1 x SPARC T5-8
8 chips, 128 cores, 3.6 GHz SPARC T5
Oracle WebLogic 12c (12.1.1)
1 x SPARC T5-8
8 chips, 128 cores, 3.6 GHz SPARC T5
Oracle Database 11g (11.2.0.3)
Oracle 40,104.86 4 x SPARC T4-4
4 chips, 32 cores, 3.0 GHz SPARC T4
Oracle WebLogic 11g (10.3.5)
2 x SPARC T4-4
4 chips, 32 cores, 3.0 GHz SPARC T4
Oracle Database 11g (11.2.0.2)
Oracle 27,150.05 1x Sun Server X2-8
8x 2.4 GHz Intel Xeon E7-8870
Oracle WebLogic 12c
1x Sun Server X2-4
4x 2.4 GHz Intel Xeon E7-4870
Oracle Database 11g (11.2.0.2)
Cisco 26,118.67 2 x Cisco UCS B440 M2
4 chips, 40 cores, 2.4 GHz Xeon E7-4870
Oracle WebLogic 11g (10.3.5)
1 x Cisco UCS C460 M2
4 chips, 40 cores, 2.4 GHz Xeon E7-4870
Oracle Database 11g (11.2.0.2)
IBM 16,646.34 1 x IBM Power 780
8 chips, 64 cores, 3.86 GHz POWER7
WebSphere Application Server V7.0
1 x IBM Power 750 Express
4 chips, 32 cores, 3.55 GHz POWER7
IBM DB2 Universal Database 9.7

* SPECjEnterprise2010 EjOPS (bigger is better)

Configuration Summary

Application Server:

1 x SPARC T5-8 server, with
8 x 3.6 GHz SPARC T5 processors
2 TB memory
8 x 10 GbE dual-port NIC
Oracle Solaris 11.1 SRU 4.5
Oracle WebLogic Server 12c (12.1.1)
Oracle JDK 7 Update 15

Database Server:

1 x SPARC T5-8 server, with
8 x 3.6 GHz SPARC T5 processors
2 TB memory
5 x 10 GbE dual-port NIC
6 x 8 Gb FC dual-port HBA
Oracle Solaris 11.1 SRU 4.5
Oracle Database 11g Enterprise Edition Release 11.2.0.3

Storage Servers:

6 x Sun Server X3-2L (12-Drive), with
2 x 2.4 GHz Intel Xeon
16 GB memory
1 x 8 Gb FC HBA
4 x Sun Flash Accelerator F40 PCI-E Card
Oracle Solaris 11.1

2 x Sun Storage 2540-M2 Array
12 x 600 GB 15K RPM SAS HDD

Switch Hardware:

1 x Sun Network 10 GbE 72-port Top of Rack (ToR) Switch

Benchmark Description

SPECjEnterprise2010 is the third generation of the SPEC organization's J2EE end-to-end industry standard benchmark application. The new SPECjEnterprise2010 benchmark has been re-designed and developed to cover the Java EE 5 specification's significantly expanded and simplified programming model, highlighting the major features used by developers in the industry today. This provides a real world workload driving the Application Server's implementation of the Java EE specification to its maximum potential and allowing maximum stressing of the underlying hardware and software systems,
  • The web zone, servlets, and web services
  • The EJB zone
  • JPA 1.0 Persistence Model
  • JMS and Message Driven Beans
  • Transaction management
  • Database connectivity
Moreover, SPECjEnterprise2010 also heavily exercises all parts of the underlying infrastructure that make up the application environment, including hardware, JVM software, database software, JDBC drivers, and the system network.

The primary metric of the SPECjEnterprise2010 benchmark is jEnterprise Operations Per Second (SPECjEnterprise2010 EjOPS). The primary metric for the SPECjEnterprise2010 benchmark is calculated by adding the metrics of the Dealership Management Application in the Dealer Domain and the Manufacturing Application in the Manufacturing Domain. There is NO price/performance metric in this benchmark.

Key Points and Best Practices

  • Sixteen Oracle WebLogic server instances on the SPARC T5-8 server were hosted in 16 separate Oracle Solaris Zones to demonstrate consolidation of multiple application servers.
  • Each Oracle Solaris Zone was bound to a separate processor set, each contained total 58 hardware strands. This was done to improve performance by using the physical memory closest to the processors to reduce memory access latency. The default set was used for network and disk interrupt handling.
  • The Oracle WebLogic application servers were executed in the FX scheduling class to improve performance by reducing the frequency of context switches.
  • The Oracle database processes were run in 8 processor sets using psrset(1M) and executed in the FX scheduling class. This improved performance by reducing memory access latency and reducing context switches.
  • The Oracle log writer process was run in a separate processor set containing a single core and run in the RT scheduling class. This insured that the log writer had the most efficient use of CPU resources.

See Also

Disclosure Statement

SPEC and the benchmark name SPECjEnterprise are registered trademarks of the Standard Performance Evaluation Corporation. Results from www.spec.org as of 3/26/2013. SPARC T5-8, 57,422.17 SPECjEnterprise2010 EjOPS; SPARC T4-4, 40,104.86 SPECjEnterprise2010 EjOPS; Sun Server X2-8, 27,150.05 SPECjEnterprise2010 EjOPS; Cisco UCS B440 M2, 26,118.67 SPECjEnterprise2010 EjOPS; IBM Power 780, 16,646.34 SPECjEnterprise2010 EjOPS. SPARC T3-4 9456.28 SPECjEnterprise2010 EjOPS.

SPARC T5-8 (SPARC T5-8 Server base package, 8xSPARC T5 16-core processors, 128x16GB-1066 DIMMS, 2x600GB 10K RPM 2.5. SAS-2 HDD, 4x Power Cables) List Price $268,742. IBM Power 780 (IBM Power 780:9179 Model MHB, 8x3.8GHz 16-core, 64x one processor activation, 4xCEC Enclosure with IBM Bezel, I/O Backplane and System Midplane,16x 0/32GB DDR3 Memory (4x8GB) DIMMS-1066MHz Power7 CoD Memory, 12x Activation of 1 GB DDR3 Power7 Memory, 5x Activation of 100GB DDR3 Power7 Memory, 1x Disk/Media Backplane. 2x 146.8GB SAS 15K RPM 2.5. HDD (AIX/Linux only), 4x AC Power Supply 1725W) List Price $992,023. Source: Oracle.com and IBM.com, collected 03/18/2013.

SPARC T5-2 Achieves SPECjbb2013 Benchmark World Record Result

From www.spec.org

Defects Identified in SPECjbb®2013

December 9, 2014 - SPEC has identified a defect in its SPECjbb®2013 benchmark suite. SPEC has suspended sales of the benchmark software and is no longer accepting new submissions of SPECjbb®2013 results for publication on SPEC's website. Current SPECjbb®2013 licensees will receive a free copy of the new version of the benchmark when it becomes available.

SPEC is advising SPECjbb®2013 licensees and users of the SPECjbb®2013 metrics that the recently discovered defect impacts the comparability of results. This defect can significantly impact the amount of work done during the measurement period, resulting in an inflated SPECjbb®2013 metric. SPEC recommends that users not utilize these results for system comparisons without a full understanding of the impact of these defects on each benchmark result.

Additional information is available here.

Oracle, using Oracle Solaris and Oracle JDK, delivered a two socket server world record result on the SPECjbb2013 benchmark, Multi-JVM metric. This benchmark was designed by the industry to showcase Java server performance. SPECjbb2013 is the replacement for SPECjbb2005 (SPECjbb2005 will soon be retired by SPEC).

  • Oracle's SPARC T5-2 server achieved 75,658 SPECjbb2013-MultiJVM max-jOPS and 23,268 SPECjbb2013-MultiJVM critical-jOPS on the SPECjbb2013 benchmark. This result is a two chip world record. (Oracle has submitted this result for review by SPEC.)

  • There are no IBM POWER7 or POWER7+ based server results on the SPECjbb2013 benchmark. IBM has published IBM POWER7+ based servers on the SPECjbb2005 which will soon be retired by SPEC.

  • The SPARC T5-2 server running is 1.9x faster than the 2-chip HP ProLiant ML350p server (2.9 GHz E5-2690 Sandy Bridge-based) based on SPECjbb2013-MultiJVM max-jOPS.

  • The 2-chip SPARC T5-2 server is 15% faster than the 4-chip HP ProLiant DL560p server (2.7 GHz E5-4650 Sandy Bridge-based) based on SPECjbb2013-MultiJVM max-jOPS.

  • The 2-chip SPARC T5-2 server is 6.1x faster than the 1-chip HP ProLiant ML310e Gen8 (3.6 GHZ E3-1280v2 Ivy Bridge based) based on SPECjbb2013-MultiJVM max-jOPS.

  • The Sun Server X3-2 system running Oracle Solaris 11 is 5% faster than the HP ProLiant ML350p Gen8 server running Windows Server 2008 based on SPECjbb2013-MultiJVM max-jOPS.

  • Oracle's SPARC T4-2 server achieved 34,804 SPECjbb2013-MultiJVM max-jOPS and 10,101 SPECjbb2013-MultiJVM critical-jOPS on the SPECjbb2013 benchmark.
    (Oracle has submitted this result for review by SPEC.)

  • Oracle's Sun Server X3-2 system achieved 41,954 SPECjbb2013-MultiJVM max-jOPS and 13,305 SPECjbb2013-MultiJVM critical-jOPS on the SPECjbb2013 benchmark. (Oracle has submitted this result for review by SPEC.)

  • Oracle's Sun Server X2-4 system achieved 65,211 SPECjbb2013-MultiJVM max-jOPS and 22,057 SPECjbb2013-MultiJVM critical-jOPS on the SPECjbb2013 benchmark. (Oracle has submitted this result for review by SPEC.)

  • SPECjbb2013 demonstrates better performance on Oracle hardware and software, engineered to work together, than alternatives from HP.

  • These results were obtained using Oracle Solaris 11 along with Java Platform, Standard Edition, JDK 7 Update 17 on the SPARC T5-2 server, SPARC T4-2 server, Sun Server X3-2 and Sun Server X2-4.

From SPEC's press release, "SPECjbb2013 replaces SPECjbb2005. The new benchmark has been developed from the ground up to measure performance based on the latest Java application features. It is expected to be used widely by all those interested in Java server performance, including JVM vendors, hardware developers, Java application developers, researchers and members of the academic community."

Performance Landscape

Results of SPECjbb2013 from www.spec.org as of March 26, 2013 and this report.

SPECjbb2013
System Processor SPECjbb2013-MultiJVM OS JDK
max-jOPS critical-jOPS
SPARC T5-2 2 x SPARC T5 75,658 23,334 Oracle Solaris 11.1 Oracle JDK 7u17
HP DL560p Gen8 4 x Intel E5-4650 66,007 16,577 Windows 2008 R2 Oracle JDK 7u15
Sun Server X2-4 4 x Intel E7-4870 65,211 22,057 Oracle Solaris 11.1 Oracle JDK 7u17
Sun Server X3-2 2 x Intel E5-2690 41,954 13,305 Oracle Solaris 11.1 Oracle JDK 7u17
HP ML350p Gen8 2 x Intel E5-2690 40,047 12,308 Windows 2008 R2 Oracle JDK 7u15
SPARC T4-2 2 x SPARC T4 34,804 10,101 Oracle Solaris 11.1 Oracle JDK 7u17
Supermicro X8DTN+ 2 x Intel E5690 20,977 6,188 RHEL 6.3 Oracle JDK 7u11
HP ML310e Gen8 1 x Intel E3-1280v2 12,315 2,908 Windows 2008 R2 Oracle JDK 7u15
Intel R1304BT 1 x Intel 1260L 6,198 1,722 Windows 2008 R2 Oracle JDK 7u11

The above table represents all of the published results on www.spec.org. SPEC allows for self publication of SPECjbb2013 results.

Configuration Summary

Systems Under Test:

SPARC T5-2 server
2 x SPARC T5, 3.60 GHz
512 GB memory (32 x 16 GB dimms)
Oracle Solaris 11.1
Oracle JDK 7 Update 17

Sun Server X2-4
4 x Intel Xeon E7-4870, 2.40 GHz
Hyper-Threading enabled
Turbo Boost enabled
128 GB memory (32 x 4 GB dimms)
Oracle Solaris 11.1
Oracle JDK 7 Update 17

Sun Server X3-2
2 x Intel E5-2690, 2.90 GHz
Hyper-Threading enabled
Turbo Boost enabled
128 GB memory (32 x 4 GB dimms)
Oracle Solaris 11.1
Oracle JDK 7 Update 17

SPARC T4-2 server
2 x SPARC T4, 2.85 GHz
256 GB memory (32 x 8 GB dimms)
Oracle Solaris 11.1
Oracle JDK 7 Update 17

Benchmark Description

The SPECjbb2013 benchmark has been developed from the ground up to measure performance based on the latest Java application features. It is relevant to all audiences who are interested in Java server performance, including JVM vendors, hardware developers, Java application developers, researchers and members of the academic community.

SPECjbb2013 replaces SPECjbb2005. New features include:

  • A usage model based on a world-wide supermarket company with an IT infrastructure that handles a mix of point-of-sale requests, online purchases and data-mining operations.
  • Both a pure throughput metric and a metric that measures critical throughput under service-level agreements (SLAs) specifying response times ranging from 10ms to 500ms.
  • Support for multiple run configurations, enabling users to analyze and overcome bottlenecks at multiple layers of the system stack, including hardware, OS, JVM and application layers.
  • Exercising new Java 7 features and other important performance elements, including the latest data formats (XML), communication using compression, and messaging with security.
  • Support for virtualization and cloud environments.

See Also

Disclosure Statement

SPEC and the benchmark name SPECjbb are registered trademarks of Standard Performance Evaluation Corporation (SPEC). Results as of 3/26/2013, see http://www.spec.org for more information. SPARC T5-2 75,658 SPECjbb2013-MultiJVM max-jOPS, 23,334 SPECjbb2013-MultiJVM critical-jOPS. Sun Server X2-4 65,211 SPECjbb2013-MultiJVM max-jOPS, 22,057 SPECjbb2013-MultiJVM critical-jOPS. Sun Server X3-2 41,954 SPECjbb2013-MultiJVM max-jOPS, 13,305 SPECjbb2013-MultiJVM critical-jOPS. SPARC T4-2 34,804 SPECjbb2013-MultiJVM max-jOPS, 10,101 SPECjbb2013-MultiJVM critical-jOPS. HP ProLiant DL560p Gen8 66,007 SPECjbb2013-MultiJVM max-jOPS, 16,577 SPECjbb2013-MultiJVM critical-jOPS. HP ProLiant ML350p Gen8 40,047 SPECjbb2013-MultiJVM max-jOPS, 12,308 SPECjbb2013-MultiJVM critical-jOPS. Supermicro X8DTN+ 20,977 SPECjbb2013-MultiJVM max-jOPS, 6,188 SPECjbb2013-MultiJVM critical-jOPS. HP ProLiant ML310e Gen8 12,315 SPECjbb2013-MultiJVM max-jOPS, 2,908 SPECjbb2013-MultiJVM critical-jOPS. Intel R1304BT 6,198 SPECjbb2013-MultiJVM max-jOPS, 1,722 SPECjbb2013-MultiJVM critical-jOPS.

SPARC T5-8 Realizes SAP SD Two-Tier Benchmark World Record for 8 Chip Systems

Oracle's SPARC T5-8 server produced a world record result for systems with 8 processors on the two-tier SAP Sales and Distribution (SD) Standard Application Benchmark.

  • The SPARC T5-8 server achieved 40,000 users with running the two-tier SAP Sales and Distribution (SD) Standard Application Benchmark using SAP Enhancement package 5 for SAP ERP 6.0.

  • The SPARC T5-8 server is 57% faster than the IBM Power 760 8-chip running SAP Enhancement Package 5 for SAP ERP 6.0.

  • The SPARC T5-8 server delivers 5% more SAP users per chip than the IBM Power 780 12-chip running SAP Enhancement Package 5 for SAP ERP 6.0.

  • The SPARC T5-8 server solution was run with Oracle Solaris 11 and used Oracle Database 11g.

Performance Landscape

SAP-SD 2-Tier Performance Table (in decreasing performance order). SAP ERP 6.0 Enhancement Pack 5 for SAP ERP 6.0 results (New version of the benchmark as of May 2012).

System OS
Database
Users SAPS SAP
ERP/ECC
Release
Date
SPARC T5-8 Server
8x SPARC T5 @3.6 GHz, 2 TB
Solaris 11
Oracle 11g
40,000 220,950 EHP5 for SAP
ERP 6.0
25-Mar-13
IBM Power 760
8xPOWER7+ @3.41 GHz, 1024 GB
AIX 7.1
DB2 10
25,488 139,220 EHP5 for SAP
ERP 6.0
5-Feb-13

SAP ERP 6.0 Enhancement Pack 4 for SAP ERP 6.0 Results
(Old version of the benchmark, obsolete at the end of April, 2012)

System OS
Database
Users SAPS SAP
ERP/ECC
Release
Date
IBM Power 795
32xPOWER7 @4 GHz, 4 TB
AIX 7.1
DB2 9.7
126,063 688,630 EHP4 for SAP
ERP 6.0
15-Nov-10
SPARC Enterprise Server M9000
64xSPARC64 VII @2.88 GHz, 1152 GB
Solaris 10
Oracle 10g
32,000 175,600 EHP4 for SAP
ERP 6.0
18-Nov-09

Complete benchmark results may be found at the SAP benchmark website http://www.sap.com/benchmark.

Configuration Summary and Results

Hardware Configuration:

1 x SPARC T5-8 server with
8 x 3.6 GHz SPARC T5 processors (total of 8 processors / 128 cores / 1024 threads)
2 TB memory
1 x Sun ZFS Storage 7420 appliance with
72 x 600 GB 15K RPM 3.5" SAS-2 disk
32 x 32 GB memory
1 x Sun Fire X4270 M2 server configured as a COMSTAR device with
10 x 2 TB 7.2K 3.5" SAS disk
18 x 8 GB memory

Software Configuration:

Oracle Solaris 11
SAP enhancement package 5 for SAP ERP 6.0
Oracle Database 11g Release 2

Certified Results (published by SAP)

Performance:
40,000 benchmark users
SAP Certification:
2013008

Benchmark Description

The SAP Standard Application SD (Sales and Distribution) Benchmark is a two-tier ERP business test that is indicative of full business workloads of complete order processing and invoice processing, and demonstrates the ability to run both the application and database software on a single system. The SAP Standard Application SD Benchmark represents the critical tasks performed in real-world ERP business environments.

SAP is one of the premier world-wide ERP application providers, and maintains a suite of benchmark tests to demonstrate the performance of competitive systems on the various SAP products.

See Also

Disclosure Statement

Two-tier SAP Sales and Distribution (SD) Standard Application benchmarks SAP Enhancement package 5 for SAP ERP 6.0 as of 3/26/13:

SPARC T5-8 (8 processors, 128 cores, 1024 threads) 40,000 SAP SD users, 8 x 3.6 GHz SPARC T5, 2 TB memory, Oracle Database 11g, Oracle Solaris 11, Cert# 2013008. IBM Power 760 (8 processors, 48 cores, 192 threads) 25,488 SAP SD users, 8 x 3.41 GHz IBM POWER7+, 1024 GB memory, DB2 10, AIX 7.1, Cert#2013004.

Two-tier SAP Sales and Distribution (SD) Standard Application benchmarks SAP Enhancement package 4 for SAP ERP 6.0 as of 4/30/12:

IBM Power 795 (32 processors, 256 cores, 1024 threads) 126,063 SAP SD users, 32 x 4 GHz IBM POWER7, 4 TB memory, DB2 9.7, AIX7.1, Cert#2010046. SPARC Enterprise Server M9000 (64 processors, 256 cores, 512 threads) 32,000 SAP SD users, 64 x 2.88 GHz SPARC64 VII, 1152 GB memory, Oracle Database 10g, Oracle Solaris 10, Cert# 2009046.

SAP, R/3, reg TM of SAP AG in Germany and other countries. More info www.sap.com/benchmark

SPARC M5-32 Produces SAP SD Two-Tier Benchmark World Record for SAP Enhancement Package 5 for SAP ERP 6.0

Oracle's SPARC M5-32 server produced a world record result on the two-tier SAP Sales and Distribution (SD) Standard Application Benchmark using SAP Enhancement package 5 for SAP ERP 6.0.

  • The SPARC M5-32 server achieved 85,050 users running the two-tier SAP Sales and Distribution (SD) Standard Application Benchmark using SAP Enhancement package 5 for SAP ERP 6.0.

  • The SPARC M5-32 solution was run with Oracle Solaris 11 and used the Oracle Database 11g.

Performance Landscape

SAP-SD 2-Tier Performance Table (in decreasing performance order). SAP ERP 6.0 Enhancement Pack 5 for SAP ERP 6.0 results (new version of the benchmark as of May, 2012).

System OS
Database
Users SAPS SAP
ERP/ECC
Release
Date
SPARC M5-32 Server
32x SPARC M5 @3.6 GHz, 4 TB
Solaris 11
Oracle 11g
85,050 472,600 EHP5 for SAP
ERP 6.0
25-Mar-13
IBM Power 780
12xPOWER7+ @3.72 GHz, 1536 GB
AIX 7.1
DB2 10
57,024 311,720 EHP5 for SAP
ERP 6.0
3-Oct-12
IBM Power 760
8xPOWER7+ @3.41 GHz, 1024 GB
AIX 7.1
DB2 10
25,488 139,220 EHP5 for SAP
ERP 6.0
5-Feb-13

SAP ERP 6.0 Enhancement Pack 4 for SAP ERP 6.0 Results
(Old version of the benchmark, obsolete at the end of April, 2012)

System OS
Database
Users SAPS SAP
ERP/ECC
Release
Date
IBM Power 795
32xPOWER7 @4 GHz, 4 TB
AIX 7.1
DB2 9.7
126,063 688,630 EHP4 for SAP
ERP 6.0
15-Nov-10
SPARC Enterprise Server M9000
64xSPARC64 VII @2.88 GHz, 1152 GB
Solaris 10
Oracle 10g
32,000 175,600 EHP4 for SAP
ERP 6.0
18-Nov-09

Complete benchmark results may be found at the SAP benchmark website http://www.sap.com/benchmark.

Configuration Summary and Results

Hardware Configuration:

1 x SPARC M5-32 server with
32 x 3.6 GHz SPARC M5 processors (total of 32 processors / 192 cores / 1536 threads)
4 TB memory
1 x Sun Storage 2540-M2 (12 x 300 GB 5K RPM 3.5" SAS-2 disk & 2 GB cache)
Flash Storage

Software Configuration:

Oracle Solaris 11
SAP enhancement package 5 for SAP ERP 6.0
Oracle Database 11g Release 2

Certified Results (published by SAP)

Performance: 85,050 benchmark users
SAP Certification: 2013009

Benchmark Description

The SAP Standard Application SD (Sales and Distribution) Benchmark is a two-tier ERP business test that is indicative of full business workloads of complete order processing and invoice processing, and demonstrates the ability to run both the application and database software on a single system. The SAP Standard Application SD Benchmark represents the critical tasks performed in real-world ERP business environments.

SAP is one of the premier world-wide ERP application providers, and maintains a suite of benchmark tests to demonstrate the performance of competitive systems on the various SAP products.

See Also

Disclosure Statement

Two-tier SAP Sales and Distribution (SD) standard application benchmarks, SAP Enhancement package 5 for SAP ERP 6.0 as of 3/26/13:

SPARC M5-32 (32 processors, 192 cores, 1536 threads) 85,050 SAP SD users, 32 x 3.6 GHz SPARC M5, 4 TB memory, Oracle Database 11g, Oracle Solaris 11, Cert# 2013009. IBM Power 780 (12 processors, 96 cores, 384 threads) 57,024 SAP SD users, 12 x 3.72 GHz IBM POWER7+, 1536 GB memory, DB210, AIX7.1, Cert#2012033. IBM Power 760 (8 processors, 48 cores, 192 threads) 25,488 SAP SD users, 8 x 3.41 GHz IBM POWER7+, 1024 GB memory, DB2 10, AIX 7.1, Cert#2013004.

Two-tier SAP Sales and Distribution (SD) standard application benchmarks, SAP Enhancement package 4 for SAP ERP 6.0 as of 3/26/13:

IBM Power 795 (32 processors, 256 cores, 1024 threads) 126,063 SAP SD users, 32 x 4 GHz IBM POWER7, 4 TB memory, DB2 9.7, AIX7.1, Cert#2010046. SPARC Enterprise Server M9000 (64 processors, 256 cores, 512 threads) 32,000 SAP SD users, 64 x 2.88 GHz SPARC64 VII, 1152 GB memory, Oracle Database 10g, Oracle Solaris 10, Cert# 2009046.

SAP, R/3, reg TM of SAP AG in Germany and other countries. More info www.sap.com/benchmark

SPARC T5 Systems Deliver SPEC CPU2006 Rate Benchmark Multiple World Records

Oracle's SPARC T5 processor based systems delivered world record performance on the SPEC CPU2006 rate benchmarks. This was accomplished with Oracle Solaris 11.1 and Oracle Solaris Studio 12.3 software.

SPARC T5-8

  • The SPARC T5-8 server delivered world record SPEC CPU2006 rate benchmark results for systems with eight processors.

  • The SPARC T5-8 server achieved scores of 3750 SPECint_rate2006, 3490 SPECint_rate_base2006, 3020 SPECfp_rate2006, and 2770 SPECfp_rate_base2006.

  • The SPARC T5-8 server beat the 8 processor IBM Power 760 with POWER7+ processors by 1.7x on the SPECint_rate2006 benchmark and 2.2x on the SPECfp_rate2006 benchmark.

  • The SPARC T5-8 server beat the 8 processor IBM Power 780 with POWER7 processors by 35% on the SPECint_rate2006 benchmark and 14% on the SPECfp_rate2006 benchmark.

  • The SPARC T5-8 server beat the 8 processor HP DL980 G7 with Intel Xeon E7-4870 processors by 1.7x on the SPECint_rate2006 benchmark and 2.1x on the SPECfp_rate2006 benchmark.

SPARC T5-1B

  • The SPARC T5-1B server module delivered world record SPEC CPU2006 rate benchmark results for systems with one processor.

  • The SPARC T5-1B server module achieved scores of 467 SPECint_rate2006, 436 SPECint_rate_base2006, 369 SPECfp_rate2006, and 350 SPECfp_rate_base2006.

  • The SPARC T5-1B server module beat the 1 processor IBM Power 710 Express with a POWER7 processor by 62% on the SPECint_rate2006 benchmark and 49% on the SPECfp_rate2006 benchmark.

  • The SPARC T5-1B server module beat the 1 processor NEC Express5800/R120d-1M with an Intel Xeon E5-2690 processor by 31% on the SPECint_rate2006 benchmark. The SPARC T5-1B server module beat the 1 processor Huawei RH2288 V2 with an Intel Xeon E5-2690 processor by 44% on the SPECfp_rate2006 benchmark.

  • The SPARC T5-1B server module beat the 1 processor Supermicro A+ 1012G-MTF with an AMD Operton 6386 SE processor by 51% on the SPECint_rate2006 benchmark and 65% on the SPECfp_rate2006 benchmark.

Performance Landscape

Complete benchmark results are at the SPEC website, SPEC CPU2006 Results. The tables below provide the new Oracle results, as well as, select results from other vendors.

SPEC CPU2006 Rate Results – Eight Processors
System Processor ch/co/th * Peak Base
SPECint_rate2006
SPARC T5-8 SPARC T5, 3.6 GHz 8/128/1024 3750 3490
IBM Power 780 POWER7, 3.92 GHz 8/64/256 2770 2420
HP DL980 G7 Xeon E7-4870, 2.4 GHz 8/80/160 2180 2070
IBM Power 760 POWER7+, 3.42 GHz 8/48/192 2170 1480
Dell PowerEdge C6145 Opteron 6180 SE, 2.5 GHz 8/96/96 1670 1440
SPECfp_rate2006
SPARC T5-8 SPARC T5, 3.6 GHz 8/128/1024 3020 2770
IBM Power 780 POWER7, 3.92 GHz 8/64/256 2640 2410
HP DL980 G7 Xeon E7-4870, 2.4 GHz 8/80/160 1430 1380
IBM Power 760 POWER7+, 3.42 GHz 8/48/192 1400 1130
Dell PowerEdge C6145 Opteron 6180 SE, 2.5 GHz 8/96/96 1310 1200

* ch/co/th — chips / cores / threads enabled

SPEC CPU2006 Rate Results – One Processor
System Processor ch/co/th * Peak Base
SPECint_rate2006
SPARC T5-1B SPARC T5, 3.6 GHz 1/16/128 467 436
NEC Express5800/R120d-1M Xeon E5-2690, 2.9 GHz 1/8/16 357 343
Supermicro A+ 1012G-MTF Opteron 6386 SE, 2.8 GHz 1/16/16 309 269
IBM Power 710 Express POWER7, 3.556 GHz 1/8/32 289 255
SPECfp_rate2006
SPARC T5-1B SPARC T5, 3.6 GHz 1/16/128 369 350
Huawei RH2288 V2 Xeon E5-2690, 2.9 GHz 1/8/16 257 250
IBM Power 710 Express POWER7, 3.556 GHz 1/8/32 248 229
Supermicro A+ 1012G-MTF Opteron 6386 SE, 2.8 GHz 1/16/16 223 199

* ch/co/th — chips / cores / threads enabled

Configuration Summary

Systems Under Test:

SPARC T5-8
8 x 3.6 GHz SPARC T5 processors
4 TB memory (128 x 32 GB dimms)
2 TB on 8 x 600 GB 10K RPM SAS disks, arranged as 4 x 2-way mirrors
Oracle Solaris 11.1 (SRU 4.6)
Oracle Solaris Studio 12.3 1/13 PSE

SPARC T5-1B
1 x 3.6 GHz SPARC T5 processor
256 GB memory (16 x 16 GB dimms)
157 GB on 2 x 300 GB 10K RPM SAS disks (mirrored)
Oracle Solaris 11.1 (SRU 3.4)
Oracle Solaris Studio 12.3 1/13 PSE

Benchmark Description

SPEC CPU2006 is SPEC's most popular benchmark. It measures:

  • Speed — single copy performance of chip, memory, compiler
  • Rate — multiple copy (throughput)

The benchmark is also divided into integer intensive applications and floating point intensive applications:

  • integer: 12 benchmarks derived from real applications such as perl, gcc, XML processing, and pathfinding
  • floating point: 17 benchmarks derived from real applications, including chemistry, physics, genetics, and weather.

It is also divided depending upon the amount of optimization allowed:

  • base: optimization is consistent per compiled language, all benchmarks must be compiled with the same flags per language.
  • peak: specific compiler optimization is allowed per application.

The overall metrics for the benchmark which are commonly used are:

  • SPECint_rate2006, SPECint_rate_base2006: integer, rate
  • SPECfp_rate2006, SPECfp_rate_base2006: floating point, rate
  • SPECint2006, SPECint_base2006: integer, speed
  • SPECfp2006, SPECfp_base2006: floating point, speed

See Also

Disclosure Statement

SPEC and the benchmark names SPECfp and SPECint are registered trademarks of the Standard Performance Evaluation Corporation. Results as of March 26, 2013 from www.spec.org and this report. SPARC T5-8: 3750 SPECint_rate2006, 3490 SPECint_rate_base2006, 3020 SPECfp_rate2006, 2770 SPECfp_rate_base2006; SPARC T5-1B: 467 SPECint_rate2006, 436 SPECint_rate_base2006, 369 SPECfp_rate2006, 350 SPECfp_rate_base2006.

SPARC T5-2 Achieves JD Edwards EnterpriseOne Benchmark World Records

Oracle produced World Record batch throughput for single system results on Oracle's JD Edwards EnterpriseOne Day-in-the-Life benchmark using Oracle's SPARC T5-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2. There are two workloads tested: online plus batch workload and batch-only workload.

Online plus batch workload:

  • The SPARC T5-2 server delivered a result of 12,000 online users at 180 msec average response time while concurrently executing a mix of JD Edwards EnterpriseOne long and short batch processes at 198.5 UBEs/min (Universal Batch Engines per minute).

  • The SPARC T5-2 server online plus batch throughput is 2.7x higher than the IBM Power 770 server, both running 12,000 online users.

  • The SPARC T5-2 server online plus batch throughput is 6x higher per chip than the IBM Power 770 server. The SPARC T5-2 server has 2 chips and the IBM Power 770 has 4 chips, both ran 12,000 online users.

  • The SPARC T5-2 server online plus batch throughput is 3x higher per core than the IBM Power 770 server. Both servers have 32 cores and ran 12,000 online users.

Batch-only workload:

  • The SPARC T5-2 server delivered throughput of 880 UBEs/min while executing the batch-only workload (Long and Short batch processes).

  • The SPARC T5-2 server batch-only throughput is 2.7x faster per chip than the IBM Power 770 server. The SPARC T5-2 server has 2 chips and the IBM Power 770 has 4 chips.

  • The SPARC T5-2 server batch-only throughput is 1.4x higher per core than the IBM Power 770 server. Both servers have 32 cores.

  • The SPARC T5-2 server batch-only throughput is 61% faster than the Cisco multiple system solution.

  • The SPARC T5-2 server batch-only throughput is 5x faster per chip than the Cisco UCS B200/B250 M2 servers. The SPARC T5-2 server has 2 chips and the Cisco 3 server solution has 6 chips.

  • The SPARC T5-2 server batch-only throughput is 18x higher per core than the Cisco UCS B200/B250 M2 servers. The SPARC T5-2 server has 32 cores while the Cisco solution utilized 36 cores.

Both workloads:

  • The SPARC T5-2 server offers a 5.4x cost savings for the application server when compared to the IBM Power 770 application server.

  • The SPARC T5-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2 utilized a maximum 65% of the available CPU power, leaving headroom for additional processing.

  • The database server in a shared-server configuration allows for optimized CPU resource utilization and significant memory savings on the SPARC T5-2 server without sacrificing performance.

Performance Landscape

JD Edwards EnterpriseOne Day in the Life (DIL) Benchmark
Consolidated Online with Batch Workload
System Rack
Units (U)
Batch
Rate
(UBEs/min)
Online
Users
Users/
U
UBEs/
Core
UBEs/
Chip
Version
SPARC T5-2 (2 x SPARC T5, 3.6 GHz) 3 198.5 12000 4000 6.2 99 9.0.2
IBM Power 770 (4 x POWER7, 3.3 GHz) 8 65 12000 1500 2.0 16 9.0.2

Batch Rate (UBEs/min) — Batch transaction rate in UBEs per minute.

JD Edwards EnterpriseOne Batch Only Benchmark
System Rack
Units (U)
Batch
Rate
(UBEs/min)
UBEs/
U
UBEs/
Core
UBEs/
Chip
Version
SPARC T5-2 (2 x SPARC T5, 3.6 GHz) 3 880 267 25 440 9.0.2
IBM Power 770 (4 x POWER7, 3.3 GHz) 8 643 81 20 161 9.0.2
2 x Cisco B200 M2 (2 x X5690, 3.46 GHz)
1 x Cisco B250 M2 (2 x X5680, 3.33 GHz)
3 546 182 15 91 9.0.2

Configuration Summary

Hardware Configuration:

1 x SPARC T5-2 server with
2 x SPARC T5 processors, 3.6 GHz
512 GB memory
4 x 300 GB 10K RPM SAS internal disk
2 x 300 GB internal SSD
4 x Sun Flash Accelerator F40 PCIe Card (4 x 93 GB)

Software Configuration:

Oracle Solaris 10 1/13
Oracle Solaris Containers
JD Edwards EnterpriseOne 9.0.2
JD Edwards EnterpriseOne Tools (8.98.4.2)
Oracle WebLogic Server 11g (10.3.4)
Oracle HTTP Server 11g
Oracle Database 11g Release 2 (11.2.0.3)

Benchmark Description

JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations.

Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company.

  • The workload consists of online transactions and the UBE – Universal Business Engine workload of 61 short and 4 long UBEs.

  • LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time.

  • The UBE processes workload runs from the JD Enterprise Application server.

    • Oracle's UBE processes come as three flavors:
      • Short UBEs < 1 minute engage in Business Report and Summary Analysis,
      • Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address,
      • Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs.
    • The UBE workload generates large numbers of PDF files reports and log files.
    • The UBE Queues are categorized as the QBATCHD, a single threaded queue for large and medium UBEs, and the QPROCESS queue for short UBEs run concurrently.

Oracle's UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute.

Key Points and Best Practices

Four Oracle Solaris processors sets were used with Oracle Solaris Containers assigned to the processor sets as follows:

  • one JD Edwards EnterpriseOne Application server, two Oracle WebLogic Servers 11g Release 1 each coupled with an Oracle Web Tier HTTP server instances (online workload), each in an Oracle Solaris Container (three total),

  • one JD Edwards EnterpriseOne Application server (for batch only workload) in an Oracle Solaris Container,

  • Oracle Database 11g Release 2.0.3 database in an Oracle Solaris Container,

  • the Oracle database log writer.

Other items of note:

  • Each Oracle WebLogic vertical cluster, with twelve managed instances, was configured in a dedicated webserver container in order to load balance users' requests and to provide the infrastructure to support high number of users with ease of deployment and high availability.

  • The database redo logs were configured on the raw disk partitions.

  • The mixed batch workload of 44 short UBEs and 8 long UBEs was executed concurrently with the 12,000 online application users, producing a sustained rate of 198.5 UBE/min.

See Also

Disclosure Statement

Copyright 2013, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 03/26/2013

SPARC T5-2 (SPARC T5-2 Server base package, 2xSPARC T5 16-core processors, 32x16GB-1066 DIMMS, 4x600GB 10K RPM 2.5. SAS-2 HDD,2x300GB SSDs, 4x Sun Flash Accelerator F40 PCIe Cards, 2x Power Cables) List Price $98,190. IBM Power 770 (IBM Power 770:9917 Model MMC, 2x3.3GHz 16-core, 32x one processor activation, 2xCEC Enclosure with IBM Bezel, I/O Backplane and System Midplane,2x Service Processor, 16x 0/64GB DDR3 Memory (4x16GB) DIMMS-1066MHz Power7 CoD Memory, 24x Activation of 1 GB DDR3 Power7 Memory, 10x Activation of 100GB DDR3 Power7 Memory, 2x Disk/Media Backplane. 2x 300GB SAS 15K RPM 2.5. HDD (AIX/Linux only), 1x SATA slimline DVD-RAM drive, 4x AC Power Supply 1925W) List Price $532,143. Source: ibm.com, collected 03/18/2013.

SPARC T5-2 Scores Siebel CRM Benchmark World Record

Oracle set a new world record for the Siebel Platform Sizing and Performance Program (PSPP) benchmark using Oracle's SPARC T5-2 servers for the application server with Oracle's Siebel CRM 8.1.1.4 Industry Applications and Oracle Database 11g Release 2 running on Oracle Solaris.

  • The SPARC T5-2 servers running the application tier achieved 40,000 users with sub-second response time and with throughput of 333,339 business transactions per hour on the Siebel PSPP benchmark.

  • The SPARC T5-2 servers in the application tier delivered 2 times better performance on a per chip basis compared to earlier published SPARC T4 numbers.

  • The Siebel 8.1.1.4 PSPP workload includes Siebel Call Center and Order Management System.

  • The SPARC T5-2 server used Oracle Solaris Zones which provide flexible, scalable and manageable virtualization to scale the application within and across multiple nodes.

Performance Landscape

Application Server Transactions/
hour
Users Users/
Core
Call
Center
Order
Mgmt
Response Times (sec)
2 x SPARC T5-2 (2 x SPARC T5 3.6 GHz) 333,339 40,000 625 0.110 0.608
3 x SPARC T4-2 (2 x SPARC T4 2.85 GHz) 239,748 29,000 604 0.165 0.925
2 x IBM Power 750 (POWER7 3.55 GHz, 16 active cores) 176,185 21,000 656 0.052 0.250

Oracle:
Call Center + Order Management
Transactions: 273,786 + 59,553
Users: 28,000 + 12,000

IBM:
Call Center + Order Management
Transactions: 144,457 + 31,728
Users: 14,700 + 6,300

Configuration Summary

Application Server Configuration:

2 x SPARC T5-2 servers, each with
2 x SPARC T5 processors, 3.6 GHz
512 GB memory
6 x 300 GB SAS internal disks
Oracle Solaris 10 8/11
Siebel CRM 8.1.1.4 SIA

Web Server Configuration:

1 x SPARC T4-1 server
1 x SPARC T4 processor, 2.85 GHz
128 GB memory
Oracle Solaris 10 8/11
iPlanet Web Server 7

Database Server Configuration:

1 x SPARC T4-2 server
2 x SPARC T4 processors, 2.85 GHz
256 GB memory
Flash Storage
Oracle Solaris 10 8/11
Oracle Database 11g Release 2 (11.2.0.2)

Benchmark Description

Siebel PSPP benchmark includes Call Center and Order Management:

  • Siebel Financial Services Call Center – Provides the most complete solution for sales and service, allowing customer service and telesales representatives to provide superior customer support, improve customer loyalty, and increase revenues through cross-selling and up-selling.

    High-level description of the use cases tested: Incoming Call Creates Opportunity, Quote and Order and Incoming Call Creates Service Request. Three complex business transactions are executed simultaneously for specific number of concurrent users. The ratios of these 3 scenarios were 30%, 40%, 30% respectively, which together were totaling 70% of all transactions simulated in this benchmark. Between each user operation and the next one, the think time averaged approximately 10, 13, and 35 seconds respectively.

  • Siebel Order Management – Oracle's Siebel Order Management allows employees such as salespeople and call center agents to create and manage quotes and orders through their entire life cycle. Siebel Order Management can be tightly integrated with back-office applications allowing users to perform tasks such as checking credit, confirming availability, and monitoring the fulfillment process.

    High-level description of the use cases tested: Order & Order Items Creation and Order Updates. Two complex Order Management transactions were executed simultaneously for specific number of concurrent users concurrently with aforementioned three Call Center scenarios above. The ratio of these 2 scenarios was 50% each, which together were totaling 30% of all transactions simulated in this benchmark. Between each user operation and the next one, the think time averaged approximately 20 and 67 seconds respectively.

Key Points and Best Practices

  • No processor cores or cache were activated or deactivated on the SPARC T-Series systems to achieve special benchmark effects.

See Also

Disclosure Statement

Copyright 2013, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 26 March 2013.

SPARC T5 Systems Produce Oracle TimesTen Benchmark World Record

The Oracle TimesTen In-Memory Database is optimized to run on Oracle's SPARC T5 processor platforms running Oracle Solaris 11. In this series of tests, systems with the new SPARC T5 processor were significantly faster than systems based on other processors. Two tests were run to explore TimesTen performance: a Mobile Call Processing test (based on customer workload) and Oracle's TimesTen Performance Throughput Benchmark (TPTBM). TimesTen version 11.2.2.4 was used for all tests.

  • On the TimesTen Performance Throughput Benchmark (TPTBM), SPARC T5-8 server produced a world record 59.9 million read transactions per second.

  • On the Mobile Call Processing test, the SPARC T5 processor achieves 2.4 times more throughput than the Intel Xeon E7-4870 processor. The two-chip SPARC T5-2 server is 22% faster than an x86 server with four Intel E7-4870 2.4 GHz processors.

  • On the TimesTen Performance Throughput Benchmark (TPTBM) read-only workload, the SPARC T5 processor achieves 2.2 times higher throughput than the Intel Xeon E7-4870 processor. On the same workload, the two-chip SPARC T5-2 server produces 10% more throughput than an x86 server with four Intel E7-4870 processors and has almost twice the performance of a 2-chip Intel E5-2680 system.

  • With the TPTBM read-only workload, the SPARC T5-8 server delivers 3.8x more throughput than a SPARC T5-2 Server, showing excellent scalability.

  • The SPARC T5 processor delivers over twice the performace of the previous generation SPARC T4 processor and over 4x the performace of the SPARC T3 processor, all in the same amount of space.

  • The SPARC T5-2 server delivers 2.4x the performace of the SPARC T4-2 server in the same 3U space. This is better performance than that of the SPARC T4-4 server which occupies 5U.

Performance Landscape

Mobile Call Processing Test Performance

Processor Tps
SPARC T5, 3.6 GHz 367,600
Intel Xeon E7-4870, 2.4 GHz 302,000
SPARC T4, 2.85 GHz 230,500

All systems measured using Oracle Solaris 11 and Oracle TimesTen In-Memory Database 11.2.2.4.1

TimesTen Performance Throughput Benchmark (TPTBM) Read-Only

System Processor Chips Tps Tps/
Chip
SPARC T5-8 SPARC T5, 3.6 GHz 8 59.9M 7.5M
SPARC T5-2 SPARC T5, 3.6 GHz 2 15.9M 7.9M
x86 Intel Xeon E7-4870, 2.4 GHz 4 14.5M 3.6M
SPARC T4-4 SPARC T4, 3.0 GHz 4 14.2M 3.6M
x86* Intel Xeon E5-2680, 2.7 GHz 2 8.5M 4.3
SPARC T4-2 SPARC T4, 2.85 GHz 2 6.5M 3.3M
SPARC T3-4 SPARC T3, 1.65 GHz 4 7.9M 1.9M
T5440 SPARC T2+, 1.4 GHz 4 3.1M 0.8M

All systems measured using Oracle Solaris 11 and Oracle TimesTen In-Memory Database 11.2.2.4.1

*Intel E5-2680 using Oracle Linux and Oracle TimesTen In-Memory Database 11.2.2.4.1

TimesTen Performance Throughput Benchmark (TPTBM) Update-Only

Processor Tps
SPARC T5, 3.6 GHz 1,031.7K
Intel Xeon E7-4870, 2.4 GHz 988.1K
Intel Xeon E5-2680, 2.7 GHz * 944.3K
SPARC T4, 3.0 GHz 678.0K

All systems measured using Oracle Solaris 11 and Oracle TimesTen In-Memory Database 11.2.2.4.1

*Intel E5-2680 using Oracle Linux and Oracle TimesTen In-Memory Database 11.2.2.4.1

Configuration Summary

Hardware Configurations:

SPARC T5-8 server
8 x SPARC T5 processors, 3.6 GHz
2 TB memory
1 x 8 Gbs FC Qlogic HBA
1 x 6 Gbs SAS HBA
2 x 300 GB internal disks
Oracle Solaris 11
TimesTen 11.2.2.4.1
1 x Sun Fire X4275 server configured as COMSTAR redo head (log)

SPARC T5-2 server
2 x SPARC T5 processors, 3.6 GHz
512 GB memory
1 x 8 Gbs FC Qlogic HBA
1 x 6 Gbs SAS HBA
2 x 300 GB internal disks
Oracle Solaris 11
TimesTen 11.2.2.4.1
1 x Sun Fire X4275 server configured as COMSTAR redo head (log)

SPARC T4-4 server
4 x SPARC T4 processors, 3.0 GHz
1 TB memory
1 x 8 Gbs FC Qlogic HBA
1 x 6 Gbs SAS HBA
6 x 300 GB internal disks
Oracle Solaris 11
TimesTen 11.2.2.4.1
Sun Storage F5100 Flash Array (80 x 24 GB flash modules)
1 x Sun Fire X4275 server configured as COMSTAR redo head (log)

SPARC T4-2 server
2 x SPARC T4 processors, 2.85 GHz
256 GB memory
1 x 8 Gbs FC Qlogic HBA
1 x 6 Gbs SAS HBA
4 x 300 GB internal disks
Oracle Solaris 11
TimesTen 11.2.2.4.1
Sun Storage F5100 Flash Array (40 x 24 GB flash modules)
1 x Sun Fire X4275 server configured as COMSTAR head

SPARC T3-4 server
4 x SPARC T3 processors, 1.6 GHz
512 GB memory
1 x 8 Gbs FC Qlogic HBA
8 x 146 GB internal disks
Oracle Solaris 11
TimesTen 11.2.2.4.1
1 x Sun Fire X4275 server configured as COMSTAR head

Intel Server x86_64
2 x Intel Xeon E5-2680 processors, 2.7 GHz
256 GB memory
4 x SSD SAS disks (log)
1 x 600 GB internal disks
Oracle Linux
TimesTen 11.2.2.4.1

Sun Server X2-4
4 x Intel Xeon E7-4870 processors, 2.4 GHz
512 GB memory
1 x 8 Gbs FC Qlogic HBA
6 x 146 GB internal disks
Oracle Solaris 11
TimesTen 11.2.2.4.1
1 x Sun Fire X4275 server configured as COMSTAR redo head (log)

Benchmark Descriptions

TimesTen Performance Throughput BenchMark (TPTBM) is shipped with TimesTen and measures the total throughput of the system. The benchmark workloads can be reads, inserts, updates, and delete operations, or a mix of them as required.

Mobile Call Processing is a customer-based workload for processing calls made by mobile phone subscribers. The workload has a mixture of read-only, update, and insert-only transactions. The peak throughput performance is measured from multiple concurrent processes executing the transactions until a peak performance is reached via saturation of the available resources.

Key Points and Best Practices

The Mobile Call Processing test utilized Oracle Solaris processor sets in all environments for optimum performance. This features isolates running processes from other processes in the system. Combined with parameters to limit memory pages to the lgroup within the processor set and isolating the processor set to a single processor within the system.

See Also

Disclosure Statement

Copyright 2013, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 26 March 2013.

SPARC T5-8 Delivers Oracle OLAP World Record Performance

Oracle's SPARC T5-8 server delivered world record query performance with near real-time analytic capability using the Oracle OLAP Perf Version 3 workload running Oracle Database 11g Release 2 on Oracle Solaris 11.

  • The maximum query throughput on the SPARC T5-8 server is 1.6x higher than that of the 8-chip Intel Xeon E7-8870 server. Both systems had sub-second response time.

  • The SPARC T5-8 server with the Oracle Database demonstrated the ability to support at least 600 concurrent users querying OLAP cubes (with no think time), processing 2.93 million analytic queries per hour with an average response time of 0.66 seconds per query. This performance was enabled by keeping the entire cube in-memory utilizing the 4 TB of memory on the SPARC T5-8 server.

  • Assuming a 60 second think time between query requests, the SPARC T5-8 server can support approximately 49,450 concurrent users with the same 0.66 sec response time.

  • The SPARC T5-8 server delivered 4.3x times the maximum query throughput of a SPARC T4-4 server.

  • The workload uses a set of realistic BI queries that run against an OLAP cube based on a 4 billion row fact table of sales data. The 4 billion rows are partitioned by month spanning 10 years.

  • The combination of the Oracle Database with the Oracle OLAP option running on a SPARC T5-8 server supports live data updates occurring concurrently with minimally impacted user query executions.

Performance Landscape

Oracle OLAP Perf Version 3 Benchmark
Oracle cube base on 4 billion fact table rows
10 years of data partitioned by month
System Queries/
hour
Users* Average Response
Time (sec)
0 sec think time 60 sec think time
SPARC T5-8 2,934,000 600 49,450 0.66
8-chip Intel Xeon E7-8870 1,823,000 120 30,500 0.19
SPARC T4-4 686,500 150 11,580 0.71

Configuration Summary and Results

SPARC T5-8 Hardware Configuration:

1 x SPARC T5-8 server with
8 x SPARC T5 processors, 3.6 GHz
4 TB memory
Data Storage and Redo Storage
1 x Sun Storage F5100 Flash Array (with 80 FMODs)
Oracle Solaris 11.1
Oracle Database 11g Release 2 (11.2.0.3) with Oracle OLAP option

Sun Server X2-8 Hardware Configuration:

1 x Sun Server X2-8 with
8 x Intel Xeon E7-8870 processors, 2.4 GHz
512 GB memory
Data Storage and Redo Storage
3 x StorageTek 2540/2501 array pairs
Oracle Solaris 10 10/12
Oracle Database 11g Release 2 (11.2.0.2) with Oracle OLAP option

SPARC T4-4 Hardware Configuration:

1 x SPARC T4-4 server with
4 x SPARC T4 processors, 3.0 GHz
1 TB memory
Data Storage
1 x Sun Fire X4275 (using COMSTAR)
2 x Sun Storage F5100 Flash Array (each with 80 FMODs)
Redo Storage
1 x Sun Fire X4275 (using COMSTAR with 8 HDD)
Oracle Solaris 11 11/11
Oracle Database 11g Release 2 (11.2.0.3) with Oracle OLAP option

Benchmark Description

The Oracle OLAP Perf Version 3 benchmark is a workload designed to demonstrate and stress the ability of the OLAP Option to deliver fast query, near real-time updates and rich calculations using a multi-dimensional model in the context of the Oracle data warehousing.

The bulk of the benchmark entails running a number of concurrent users, each issuing typical multidimensional queries against an Oracle cube. The cube has four dimensions: time, product, customer, and channel. Each query user issues approximately 150 different queries. One query chain may ask for total sales in a particular region (e.g South America) for a particular time period (e.g. Q4 of 2010) followed by additional queries which drill down into sales for individual countries (e.g. Chile, Peru, etc.) with further queries drilling down into individual stores, etc. Another query chain may ask for yearly comparisons of total sales for some product category (e.g. major household appliances) and then issue further queries drilling down into particular products (e.g. refrigerators, stoves. etc.), particular regions, particular customers, etc.

While the core of every OLAP Perf benchmark is real world query performance, the benchmark itself offers numerous execution options such as varying data set sizes, number of users, numbers of queries for any given user and cube update frequency. Version 3 of the benchmark is executed with a much larger number of query streams than previous versions and used a cube designed for near real-time updates. The results produced by version 3 of the benchmark are not directly comparable to results produced by previous versions of the benchmark.

The near real-time update capability is implemented along the following lines. A large Oracle cube, H, is built from a 4 billion row star schema, containing data up until the end of last business day. A second small cube, D, is then created which will contain all of today's new data coming in from outside the world. It will be updated every L minutes with the data coming in within the last L minutes. A third cube, R, joins cubes H and D for reporting purposes much like a view might join data from two tables. Calculations are installed into cube R. The use of a reporting cube which draws data from different storage cubes is a common practice.

Query users are never locked out of query operations while new data is added to the update cube. The point of the demonstration is to show that an Oracle OLAP system can be designed which results in data being no more than L minutes out of date, where L may be as low as just a few minutes. This is what is meant by near real-time analytics.

Key Points and Best Practices

  • Update performance of the D cube was optimized by running update processes in the FX class with a priority greater than 0. The maximum lag time between updates to the source fact table and data availability to query users (what was referred to as L in the benchmark description) was less than 3 minutes for the benchmark environment on the SPARC T5-8 server.

  • Building and querying cubes with the Oracle OLAP option requires a large temporary tablespace. Normally temporary tablespaces would reside on disk storage. However, because the SPARC T5-8 server used in this benchmark had 4 TB of main memory, it was possible to use main memory for the OLAP temporary tablespace. This was done by using files in /tmp for the temporary tablespace datafiles.

  • Since typical BI users are often likely to issue similar queries, either with the same, or different, constants in the where clauses, setting the init.ora parameter "cursor_sharing" to "force" provides for additional query throughput and a larger number of potential users.

  • Assuming the normal Oracle initialization parameters (e.g. SGA, PGA, processes etc.) are appropriately set, out of the box performance for the OLAP Perf workload should be close to what is reported here. Additional performance resulted from (a)using memory for the OLAP temporary tablespace (b)setting "cursor_sharing" to force.

  • For a given number of query users with zero think time, the main measured metrics are the average query response time and the query throughput. A derived metric is the maximum number of users the system can support, with the same response time, assuming some non-zero think time. The calculation of this maximum is from the well-known "response-time law"

      N = (rt + tt) * tp

    where rt is the average response time, tt is the think time and tp is the measured throughput.

    Setting tt to 60 seconds, rt to 0.66 seconds and tp to 815 queries/sec (2,934,000 queries/hour), the above formula shows that the SPARC T5-8 server will support 49,450 concurrent users with a think time of 60 seconds and an average response time of 0.66 seconds.

    For more information about the "response-time law" see chapter 3 from the book "Quantitative System Performance" cited below.

See Also

Disclosure Statement

Copyright 2013, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 03/26/2013.

SPARC T5-2 Achieves ZFS File System Encryption Benchmark World Record

Oracle continues to lead in enterprise security. Oracle's SPARC T5 processors combined with the Oracle Solaris ZFS file system demonstrate faster file system encryption than equivalent x86 systems using the Intel Xeon Processor E5-2600 Sequence chips which have AES-NI security instructions.

Encryption is the process where data is encoded for privacy and a key is needed by the data owner to access the encoded data.

  • The SPARC T5-2 server is 3.4x faster than a 2 processor Intel Xeon E5-2690 server running Oracle Solaris 11.1 that uses the AES-NI GCM security instructions for creating encrypted files.

  • The SPARC T5-2 server is 2.2x faster than a 2 processor Intel Xeon E5-2690 server running Oracle Solaris 11.1 that uses the AES-NI CCM security instructions for creating encrypted files.

  • The SPARC T5-2 server consumes a significantly less percentage of system resources as compared to a 2 processor Intel Xeon E5-2690 server.

Performance Landscape

Below are results running two different ciphers for ZFS encryption. Results are presented for runs without any cipher, labeled clear, and a variety of different key lengths. The results represent the maximum delivered values measured for 3 concurrent sequential write operations using 1M blocks. Performance is measured in MB/sec (bigger is better). System utilization is reported as %CPU as measured by iostat (smaller is better).

The results for the x86 server were obtained using Oracle Solaris 11.1 with performance bug fixes.

Encryption Using AES-GCM Ciphers

System GCM Encryption: 3 Concurrent Sequential Writes
Clear AES-256-GCM AES-192-GCM AES-128-GCM
MB/sec %CPU MB/sec %CPU MB/sec %CPU MB/sec %CPU
SPARC T5-2 server 3,918 7 3,653 14 3,676 15 3,628 14
SPARC T4-2 server 2,912 11 2,662 31 2,663 30 2,779 31
2-Socket Intel Xeon E5-2690 3,969 42 1,062 58 1,067 58 1,076 57
SPARC T5-2 vs x86 server 1.0x 3.4x 3.4x 3.4x

Encryption Using AES-CCM Ciphers

System CCM Encryption: 3 Concurrent Sequential Writes
Clear AES-256-CCM AES-192-CCM AES-128-CCM
MB/sec %CPU MB/sec %CPU MB/sec %CPU MB/sec %CPU
SPARC T5-2 server 3,862 7 3,665 15 3,622 14 3,707 12
SPARC T4-2 server 2,945 11 2,471 26 2,801 26 2,442 25
2-Socket Intel Xeon E5-2690 3,868 42 1,566 64 1,632 63 1,689 66
SPARC T5-2 vs x86 server 1.0x 2.3x 2.2x 2.2x

Configuration Summary

Storage Configuration:

Sun Storage 6780 array
4 CSM2 trays, each with 16 83GB 15K RPM drives
8x 8 GB/sec Fiber Channel ports per host
R0 Write cache enabled, controller mirroring off for peak write bandwidth
8 Drive R0 512K stripe pools mirrored via ZFS to storage

Sun Storage 6580 array
9 CSM2 trays, each with 16 136GB 15K RPM drives
8x 4 GB/sec Fiber Channel ports per host
R0 Write cache enabled, controller mirroring off for peak write bandwidth
4 Drive R0 512K stripe pools mirrored via ZFS to storage

Server Configuration:

SPARC T5-2 server
2 x SPARC T5 3.6 GHz processors
512 GB memory
Oracle Solaris 11.1

SPARC T4-2 server
2 x SPARC T4 2.85 GHz processors
256 GB memory
Oracle Solaris 11.1

Sun Server X3-2L server
2 x Intel Xeon E5-2690, 2.90 GHz processors
128 GB memory
Oracle Solaris 11.1

Switch Configuration:

Brocade 5300 FC switch

Benchmark Description

This benchmark evaluates secure file system performance by measuring the rate at which encrypted data can be written. The Vdbench tool was used to generate the IO load. The test performed 3 concurrent sequential write operations using 1M blocks to 3 separate files.

Key Points and Best Practices

  • ZFS encryption is integrated with the ZFS command set. Like other ZFS operations, encryption operations such as key changes and re-key are performed online.

  • Data is encrypted using AES (Advanced Encryption Standard) with key lengths of 256, 192, and 128 in the CCM and GCM operation modes.

  • The flexibility of encrypting specific file systems is a key feature.

  • ZFS encryption is inheritable to descendent file systems. Key management can be delegated through ZFS delegated administration.

  • ZFS encryption uses the Oracle Solaris Cryptographic Framework which gives it access to SPARC T5 and Intel Xeon E5-2690 processor hardware acceleration or to optimized software implementations of the encryption algorithms automatically.

  • On modern computers with multiple threads per core, simple statistics like %utilization measured in tools like iostat and vmstat are not "hard" indications of the resources that might be available for other processing. For example, 90% idle may not mean that 10 times the work can be done. So drawing numerical conclusions must be done carefully.

See Also

Disclosure Statement

Copyright 2013, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of March 26, 2013.

SPARC T5-2 Obtains Oracle Internet Directory Benchmark World Record Performance

Oracle's SPARC T5-2 server running Oracle Internet Directory (OID, Oracle's LDAP Directory Server) on Oracle Solaris 11 achieved a record result for LDAP searches/second with 1000 clients.

  • The SPARC T5-2 server running Oracle Internet Directory on Oracle Solaris 11 achieved a result of 944,624 LDAP searches/sec with an average latency of 1.05 ms with 1000 clients.

  • The SPARC T5-2 server running Oracle Internet Directory demonstrated 2.7x better throughput and 39% better latency improvement over similarly configured OID and SPARC T4 benchmark environment.

  • The SPARC T5-2 server running Oracle Internet Directory demonstrates 39% better throughput and latency for LDAP searches on core-to-core comparison over an x86 system configured with two Intel Xeon X5675 processors.

  • Oracle Internet Directory achieved near linear scaling on the SPARC T5-2 server with 68,399 LDAP searches/sec with 2 cores to 944,624 LDAP searches/sec with 32 cores.

  • Oracle Internet Directory and the SPARC T5-2 server achieved up to 12,453 LDAP modifys/sec with an average latency of 3.9 msec for 50 clients.

Performance Landscape

Oracle Internet Directory Tests
System c/c/th Search Modify Add
ops/sec lat (msec) ops/sec lat (msec) ops/sec lat (msec)
SPARC T5-2 2/32/256 944,624 1.05 12,453 3.9 888 17.9
SPARC T4-4 4/32/256 682,000 1.46 12,000 4.0 835 19.0

In order to compare the SPARC T5-2 to a 12-core x86 system, only 1 processor and 12 cores was used in the SPARC T5-2.

Oracle Internet Directory Tests – Comparing Against x86
System c/c/th Search Compare Authentication
ops/sec lat (msec) ops/sec lat (msec) ops/sec lat (msec)
SPARC T5-2 1/12/96 417,000 1.19 274,185 1.82 149,623 3.30
x86 2 x Intel X5675 2/12/24 299,000 1.66 202,433 2.46 119,198 4.19

Scaling runs were also made on the SPARC T5-2 server.

Scaling of Search Tests – SPARC T5-2
Cores Clients ops/sec Latency (msec)
32 1000 944,624 1.05
24 1000 823,741 1.21
16 500 560,709 0.88
8 500 270,601 1.84
4 100 145,879 0.68
2 100 68,399 1.46

Configuration Summary

System Under Test:

SPARC T5-2
2 x SPARC T5 processors, 3.6 GHz
512 GB memory
4 x 300 GB internal disks
Flash Storage (used for database and log files)
1 x Sun Storage 2540-M2 (used for redo logs)
Oracle Solaris 11.1
Oracle Internet Directory 11g Release 1 PS6 (11.1.1.7.0)
Oracle Database 11g Enterprise Edition 11.2.0.3 (64-bit)

Benchmark Description

Oracle Internet Directory (OID) is Oracle's LDAPv3 Directory Server. The throughput for five key operations are measured — Search, Compare, Modify, Mix and Add.

LDAP Search Operations Test

This test scenario involved concurrent clients binding once to OID and then performing repeated LDAP Search operations. The salient characteristics of this test scenario is as follows:

  • SLAMD SearchRate job was used.
  • BaseDN of the search is root of the DIT, the scope is SUBTREE, the search filter is of the form UID=, DN and UID are the required attribute.
  • Each LDAP search operation matches a single entry.
  • The total number concurrent clients was 1000 and were distributed amongst two client nodes.
  • Each client binds to OID once and performs repeated LDAP Search operations, each search operation resulting in the lookup of a unique entry in such a way that no client looks up the same entry twice and no two clients lookup the same entry and all entries are searched randomly.
  • In one run of the test, random entries from the 50 Million entries are looked up in as many LDAP Search operations.
  • Test job was run for 60 minutes.

LDAP Compare Operations Test

This test scenario involved concurrent clients binding once to OID and then performing repeated LDAP Compare operations on userpassword attribute. The salient characteristics of this test scenario is as follows:

  • SLAMD CompareRate job was used.
  • Each LDAP compare operation matches user password of user.
  • The total number concurrent clients was 1000 and were distributed amongst two client nodes.
  • Each client binds to OID once and performs repeated LDAP compare operations.
  • In one run of the test, random entries from the 50 Million entries are compared in as many LDAP compare operations.
  • Test job was run for 60 minutes.

LDAP Modify Operations Test

This test scenario consisted of concurrent clients binding once to OID and then performing repeated LDAP Modify operations. The salient characteristics of this test scenario is as follows:

  • SLAMD LDAP modrate job was used.
  • A total of 50 concurrent LDAP clients were used.
  • Each client updates a unique entry each time and a total of 50 Million entries are updated.
  • Test job was run for 60 minutes.
  • Value length was set to 11.
  • Attribute that is being modified is not indexed.

LDAP Mixed Load Test

The test scenario involved both the LDAP search and LDAP modify clients enumerated above.

  • The ratio involved 60% LDAP search clients, 30% LDAP bind and 10% LDAP modify clients.
  • A total of 1000 concurrent LDAP clients were used and were distributed on 2 client nodes.
  • Test job was run for 60 minutes.

LDAP Add Load Test

The test scenario involved concurrent clients adding new entries as follows.

  • Slamd standard add rate job is used.
  • A total of 500,000 entries were added.
  • A total of 16 concurrent LDAP clients were used.
  • Slamd add's inetorgperson objectclass entry with 21 attributes (includes operational attributes).

See Also

Disclosure Statement

Copyright 2013, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 26 March 2013.

SPARC T5-2 Scores Oracle FLEXCUBE Universal Banking Benchmark World Record Performance

Oracle's SPARC T5-2 server running Oracle FLEXCUBE Universal Banking Release 12 along with Oracle Database 11g Release 2 on Oracle Solaris 11 produced record results.

  • A SPARC T5-2 server running Oracle FLEXCUBE Universal Banking Release 12 and Oracle Real Application Clusters (RAC) Database 11g Release 2 processed 25 million accounts in 150 minutes for the End of Month workloads with an average utilization of 55% and 196 minutes utilizing 20 cores with an average cpu utilization of 85%.

  • A SPARC T5-2 server running Oracle FLEXCUBE Universal Banking Release 12 and Oracle Real Application Clusters (RAC) Database 11g Release 2 processed 25 million accounts in 56 minutes for the End of Day workload utilizing just 20 cores.

  • A SPARC T5-2 server running Oracle FLEXCUBE Universal Banking Release 12 achieved twice the throughput compared to a SPARC T4-4 server (which has twice the number of processors) for End of Month batch processing.

  • A SPARC T5-2 server running Oracle FLEXCUBE Universal Banking Release 12 achieved a record result processing 10.14 million accounts in 28 minutes for the End of Day workload with an average cpu utilization of 72% on a single server.

  • These results demonstrate how SPARC T5 processor systems along with Oracle Solaris 11 can benefit global, private and corporate financial institutions who are running Oracle FLEXCUBE Universal Banking. The uniquely co-engineered Oracle software and SPARC T5 processor based system unlock unique agile capabilities demanded by modern business environments.

  • The SPARC T5-2 system along with Oracle Solaris is able to provide a combination of uniquely essential characteristics that resonate with core values for a modern financial services institution.

  • The SPARC T5 processor based systems are capable of delivering higher performance and lower total cost of ownership (TCO) than older SPARC infrastructure, without introducing the unseen tax and risk of migrating applications away from older SPARC systems.

Performance Landscape

Oracle FLEXCUBE Universal Banking Release 12
End of Month Batch Processing
System Customer
Accounts
Time in Minutes Notes
SPARC T5-2 25M 150.66 RAC (two systems)
SPARC T5-2 10.14M 101.92 single instance
SPARC T4-4 10.14M 108.77 single instance
SPARC T4-4 5M 106.18 single instance, two chips

Oracle FLEXCUBE Universal Banking Release 12
End of Day Batch Processing
System Customer
Accounts
Time in Minutes Notes
SPARC T5-2 25M 56.05 RAC (two systems)
SPARC T5-2 10.14M 27.87 single instance

Configuration Summary

SPARC T5 Configuration:

1 x SPARC T5-2 with
2 x SPARC T5 processors, 3.6 GHz
512 GB memory
1 x SPARC T5-2 with
2 x SPARC T5 processors, 3.6 GHz
256 GB memory
Oracle Solaris 11 11/11
Oracle Database 11g Release 2 (RAC/ASM 11.2.0.3.0)
Oracle FLEXCUBE Universal Banking Release 12.0.1

SPARC T4 Configuration:

2 x SPARC T4-4, each with
4 x SPARC T4 processors, 3.0 GHz
512 GB memory
Oracle Solaris 11 11/11
Oracle Database 11g Release 2 (RAC/ASM 11.2.0.3.0)
Oracle FLEXCUBE Universal Banking Release 12.0.1

Storage Configuration:

3 x Sun Storage 6180 Array with
16 x 300 GB disks, 15K RPM (total of 48)
4 x Sun Storage CSM200 Expansion Trays, each with
16 x 73 GB disks, 15K RPM (total of 64)
Configured as RAID0, ASM external redundancy
Tests run with single instance DB (single node) and with ASM two nodes
ASM configuration identical on both 2 machines
Oracle Database 11g Release 2 ASM 11.2.0.3.0 64bit (19 TB)

Benchmark Description

The Oracle FLEXCUBE Universal Banking Release 12 benchmark models an actual customer bank with End of Cycle transaction batch jobs which typically execute during non-banking hours. This benchmark includes end of day accrual for savings and term deposit accounts, interest capitalization for saving accounts, and interest pay out for term deposit accounts. The results of the benchmark are certified by Oracle and a white paper is published.

End of cycle batch tests are conducted to measure the throughput capabilities of the system. It helps banks to decide the end of cycle processing window required to do the back office processing. The End of Day (EOD) batch test includes the following:

  • Mark End of Transaction Input
  • Value Dated Balance update
  • Interest and Charges (IC) Batch
  • Mark End of Financial Input
  • Mark End of Day
  • Date Change
  • Mark Transaction Input
The End of Month (EOM) batch test includes additional tests. These batches typically execute during non-banking hours. The goal is to ensure that the system is able to complete the batch operations for the planned volumes End of Day (EOD) within 60 minutes and End of Month (EOM) including interest and charges liquidation within 180 minutes.

 

See Also

Disclosure Statement

Copyright 2013, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 26 March 2013.

SPARC T5-2 Performance Running Oracle Fusion Middleware SOA

Oracle's SPARC T5-2 server running Oracle Fusion Middleware SOA Suite 11g on Oracle Solaris 11 demonstrated 2.1x to 2.4x throughput improvement with 2x concurrency over a similarly configured SPARC T4-2 server for Fusion Order Demo and Oracle Service Bus (OSB) benchmark workloads using 5 KB message size.

  • Oracle Fusion Middleware SOA was deployed on virtualized environments using Oracle VM for SPARC to demonstrate consolidation of multiple SOA services onto a single system.

  • The benchmark demonstrates SPARC hardware crypto performance within an OSB service using 100-byte element encrypted with AES and signed with RSA128.

Performance Landscape

OSB Tests
System ch/co/th OS  Concurrency 
T5/T4 Test
SPARC T5-2
SPARC T5-2 (db)
1/8/64
2/32/256
Oracle
Solaris 11
144 2.1x http_passthrough
96 2.4x dyn_transform
64 2.3x body encryption

ch/co/th – chips, cores, threads


BPEL Test
System ch/co/th OS Users T5/T4 Test
SPARC T5-2
SPARC T5-2 (db)
1.5/24/192
2/32/256
S11 400 2.2x Fusion order demo

ch/co/th – chips, cores, threads

Configuration Summary

Application Server:

SPARC T5-2
2 x SPARC T5 processors, 3.6 GHz
256 GB memory
2 x 300 GB internal disks
Oracle Solaris 11.1
Oracle WebLogic 10.3.6
Oracle SOA 11.1.1.6 (PS5)
Oracle OSB 11.1.1.6 (PS5)
Oracle JDK 7

Database Server:

SPARC T5-2
2 x SPARC T5 processors, 3.6 GHz
256 GB memory
2 x 300 GB internal disks
1 x Sun Storage 6180, 16 x 146 GB SAS disks
Oracle Solaris 11.1
Oracle Database 11g Release 2 (11.2.0.3)

Benchmark Description

Three tests were performed as part of the Oracle SOA Suite profiling:

HTTP Passthrough (http_passthrough)

The client sends a 5 KB message to a HTTP Web Services Description Language (WSDL)-based proxy service on an Oracle Service Bus server. The proxy routes (using route action) the message to the backend servlet in a WLS domain. Oracle Service Bus monitoring is enabled as the message goes through the bus. The proxy's operation selection algorithm is SOAP Action Header. This workload involves more networking load than any of the other Oracle Service Bus microbenchmarks described.

Dynamic Transformation (dyn_transformation)

In this benchmark the HTTP proxy receives a 5 KB XML document. The XML document has an Xquery resource name in one of its leaf nodes. The pipeline uses an Xpath to retrieve the Xquery resource name and executes transformation on the inbound XML. The majority of CPU is spent on XML processing.

Body Encryption (body_encryption)

This benchmark tests the crypto performance within an Oracle Service Bus service. The client sends a 5 KB message, within which a 100-byte element is encrypted, to the WSDL-based Oracle Service Bus proxy service over HTTP. The WSDL binding references an Oracle Web Services Manager policy. The business service is also WSDL-based. The element is encrypted with AES and signed with RSA128. The encrypted element is decrypted, and the message is routed to the backend service as a clear SOAP message.

See Also

Disclosure Statement

Copyright 2013, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 26 March 2013.

SPARC T5-1B Performance Running Oracle Communications ASAP

Oracle's SPARC T5-1B server module delivered outstanding results on Oracle Communications ASAP. The SPARC T5-1B server module ran Oracle Solaris 11 with Oracle Database 11g Release 2, Oracle WebLogic Server 11g and Oracle Communications ASAP version 7.2.

  • Running Oracle Communications ASAP, the SPARC T5-1B server module achieved 1,722 ASDLs (atomic network activation actions) per second, the highest throughput that has been achieved in the 12NEP test for a single Oracle Communications ASAP instance across any SPARC architecture.

  • The SPARC T5-1B server module running a single instance of the Oracle Communications ASAP application, with both the application and database tiers consolidated onto a single machine, easily supported the service activation volumes of 1,722 ASDLs/sec which is representative of a typical mobile operator with more than 100 million subscribers.

  • Oracle Communications ASAP v7.2 delivered 48% higher throughput on a the SPARC T5-1B server module when compared to the SPARC T4-2 server.

  • The SPARC T5 processor delivered over 2 times the throughput compared to the previous generation SPARC T4 processor.

Performance Landscape

ASAP 7.2.0 12NEP Test Results
System ASDLs/sec CPU Usage
SPARC T5-1B 1,722.2 44.8%
SPARC T4-2 1,114.3 42.7%

Configuration Summary

Hardware Configuration:

SPARC T5-1B server module
1 x SPARC T5 processor at 3.6 GHz
256 GB memory

SPARC T4-2 server
2 x SPARC T4 processors at 2.85 GHz
256 GB memory

Storage Configuration:

Pillar Axiom

Software Configuration:

Oracle Solaris 11.1
Oracle Database 11g Release 2 (11.2.0.3.0)
Oracle WebLogic Server 10.3.6.0
Oracle Communications ASAP 7.2.0 (SR2B23)
Oracle JDK 7 update 7

Benchmark Description

Oracle Communications ASAP is used to activate a variety of services including data, video, voice and content services across mobile, fixed and satellite networks. Typical activities performed include activating new subscribers and services, moving / adding / changing / deleting services of existing subscribers and deleting existing subscribers and services.

The throughput of ASAP is measured in atomic actions per second (or ASDLs/sec). An atomic action is a single command or operation that can be executed on a network element. Atomic actions are grouped together to form a common service action, where each service action typically relates to an orderable item, such as "GSM voice" or "voice mail" or "GSM data". One or more service actions are invoked by an order management system via an activation work order request.

The workload resembles a typical mobile order to activate a GSM subscriber. A single service action to add a subscriber consists of seven atomic actions where each atomic action executes a command on a network element. Each network element was serviced by a dedicated Network Element Processor (NEP). The ASAP benchmark can vary the number of NEPs, which correlate to the complexity of a Telco operator's environment.

See Also

Disclosure Statement

Copyright 2013, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 26 March 2013.

Friday Feb 22, 2013

Oracle Produces World Record SPECjbb2013 Result with Oracle Solaris and Oracle JDK

From www.spec.org

Defects Identified in SPECjbb®2013

December 9, 2014 - SPEC has identified a defect in its SPECjbb®2013 benchmark suite. SPEC has suspended sales of the benchmark software and is no longer accepting new submissions of SPECjbb®2013 results for publication on SPEC's website. Current SPECjbb®2013 licensees will receive a free copy of the new version of the benchmark when it becomes available.

SPEC is advising SPECjbb®2013 licensees and users of the SPECjbb®2013 metrics that the recently discovered defect impacts the comparability of results. This defect can significantly impact the amount of work done during the measurement period, resulting in an inflated SPECjbb®2013 metric. SPEC recommends that users not utilize these results for system comparisons without a full understanding of the impact of these defects on each benchmark result.

Additional information is available here.

Oracle, using Oracle Solaris and Oracle JDK, delivered a world record result on the SPECjbb2013 benchmark (Composite metric). This benchmark was designed by the industry to showcase Java server performance. SPECjbb2013 is the replacement for SPECjbb2005 (SPECjbb2005 will soon be retired by SPEC).

  • Oracle Solaris is 1.8x faster on the SPECjbb2013-Composite max-jOPS metric than the Red Hat Enterprise Linux result.

  • Oracle Solaris is 2.2x faster on the SPECjbb2013-Composite critical-jOPS metric than the Red Hat Enterprise Linux result.

  • The combination of Oracle Solaris 11.1 and Oracle JDK 7 update 15 delivered a result of 37,007 SPECjbb2013-Composite max-jOPS and 13,812 SPECjbb2013-Composite critical-jOPS on the SPECjbb2013 benchmark.
    (Oracle has submitted this result for review by SPEC and it is currently under review.)

From SPEC's press release, "SPECjbb2013 replaces SPECjbb2005. The new benchmark has been developed from the ground up to measure performance based on the latest Java application features. It is expected to be used widely by all those interested in Java server performance, including JVM vendors, hardware developers, Java application developers, researchers and members of the academic community."

Performance Landscape

Results of SPECjbb2013 from www.spec.org as of February 22, 2013 and this report.

SPECjbb2013
System Processor SPECjbb2013-Composite OS JDK
max-jOPS critical-jOPS
Sun Server X2-4 4 x Intel E7-4870 37,007 13,812 Solaris 11.1 Oracle JDK 7u15
Supermicro X8DTN+ 2 x Intel E5690 20,977 6,188 RHEL 6.3 Oracle JDK 7u11
Intel R1304BT 1 x Intel 1260L 6,198 1,722 Windows 2008 R2 Oracle JDK 7u11

The above table represents all of the published results on www.spec.org. SPEC allows for self publication of SPECjbb2013 results. AnandTech has taken advantage of this and has some result on their website which were run on Intel Xeon E5-2660, AMD Opteron 6380, AMD Opteron 6376 systems. These information be viewed at: www.anandtech.com. Unfortunately AnandTech did not follow SPEC's Fair Use requirements in disclosing information about their runs, so it is not possible to include the results in the table above.

SPECjbb2013
System Processor SPECjbb2013-MultiJVM OS JDK
max-jOPS critical-jOPS
HP ProLiant DL560p Gen8 4 x Intel E5-4650 66,007 16,577 Windows Server 2008 Oracle JDK 7u15
HP ProLiant ML350p Gen8 2 x Intel E5-2690 40,047 12,308 Windows Server 2008 Oracle JDK 7u15
HP ProLiant ML310e Gen8 1 x Intel E3-1280v2 12,315 2,908 Windows 2008 R2 Oracle JDK 7u15

Configuration Summary

System Under Test:

Sun Server X2-4
4 x Intel Xeon E7-4870, 2.40 GHz
Hyper-Threading enabled
Turbo Boost enabled
128 GB memory (32 x 4 GB dimms)
Oracle Solaris 11.1
Oracle JDK 7 update 15

Benchmark Description

The SPECjbb2013 benchmark has been developed from the ground up to measure performance based on the latest Java application features. It is relevant to all audiences who are interested in Java server performance, including JVM vendors, hardware developers, Java application developers, researchers and members of the academic community.

SPECjbb2013 replaces SPECjbb2005. New features include:

  • A usage model based on a world-wide supermarket company with an IT infrastructure that handles a mix of point-of-sale requests, online purchases and data-mining operations.
  • Both a pure throughput metric and a metric that measures critical throughput under service-level agreements (SLAs) specifying response times ranging from 10ms to 500ms.
  • Support for multiple run configurations, enabling users to analyze and overcome bottlenecks at multiple layers of the system stack, including hardware, OS, JVM and application layers.
  • Exercising new Java 7 features and other important performance elements, including the latest data formats (XML), communication using compression, and messaging with security.
  • Support for virtualization and cloud environments.

See Also

Disclosure Statement

SPEC and the benchmark name SPECjbb are registered trademarks of Standard Performance Evaluation Corporation (SPEC). Results as of 2/22/2013, see http://www.spec.org for more information. Sun Server X2-4 37007 SPECjbb2013-Composite max-jOPS, 13812 SPECjbb2013-Composite critical-jOPS.

Friday Feb 08, 2013

Improved Oracle Solaris 10 1/13 Secure Copy Performance for High Latency Networks

With Oracle Solaris 10 1/13, the performance of secure copy or scp is significantly improved for high latency networks.

  • Oracle Solaris 10 1/13 enabling a TCP receive window size up to 1 MB has up to 8 times faster transfer times over the latency range 50 - 200 msec compared to the previous Oracle Solaris 10 8/11.

  • The default TCP receive window size of 48 KB delivered similar performance in both Oracle Solaris 10 1/13 and Oracle Solaris 10 8/11.

  • In this study, settings above 1 MB for the TCP receive window size delivered similar performance to the 1 MB results.

  • The tuning of the TCP receive window has been available in Oracle Solaris for some time. This improved performance is available with Oracle Solaris 10 1/13 and Oracle Solaris 11.

Performance Landscape

T4-4_SSH_SCP.png

X4170M2_SSH_SCP.png

Configuration Summary

Test Systems:

SPARC T4-4 server
4 x SPARC T4 processor 3.0 GHz
1 TB memory
Oracle Solaris 10 1/13
Oracle Solaris 10 8/11

Sun Fire X4170 M2
2 x Intel Xeon X5675 3.06 GHz
48 GB memory
Oracle Solaris 10 1/13
Oracle Solaris 10 8/11

Driver System:

Sun Fire X4170 M2
2 x Intel Xeon X5675 3.06 GHz
48 GB memory
Oracle Solaris 10

Router / Programmable Delay System:

Sun Fire X4170 M2
2 x Intel Xeon X5675 3.06 GHz
48 GB memory
Oracle Solaris 10

Switch in between the router and the 2 test systems

Cisco linksys SR2024C

Benchmark Description

This benchmark measures the scp performance between two systems with variable router delays in the network between the two systems. A file size of 48 MB was used while measuring the affects of varying the latency (network delays) and varying the TCP receive window size.

Key Points and Best Practices

  • The WAN emulator (aka. hxbt) is used in the router to achieve delays. Verification of network function and characteristics confirmed after setting the simulator using Netperf latency and bandwidth tests between driver and test system.

  • Transfers performed over 1 GbE private, dedicated network.

  • Files were transferred to and from /tmp (i.e. in memory) on the test systems to minimize effect of filesystem performance and variability on the measurements.

  • Larger TCP receive windows than default can be enabled using the system-wide parameter tcp_recv_hiwat (e.g. to enable 1024 KB windows using this method, use the command: ndd -set /dev/tcp tcp_recv_hiwat 1048576). To make this change persistent the command will have to be added to system startup scripts.

  • sshd on target system must be restarted before any benefit can be observed after increasing the enabled tcp receive buffer size. (e.g: can restart with the command /usr/sbin/svcadm restart svc:/network/ssh:default)

  • Note that tcp_recv_hiwat is a system-wide variable that adjusts the entire TCP stack. Care, therefore, must be taken to make sure that changes do not adversely affect your environment.

  • Geographically distant servers can be affected by connection latencies of the kind presented here.

See Also

Disclosure Statement

Copyright 2013, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 2/08/2013.

Thursday Nov 08, 2012

SPARC T4-4 Delivers World Record Performance on Oracle OLAP Perf Version 2 Benchmark

Oracle's SPARC T4-4 server delivered world record performance with subsecond response time on the Oracle OLAP Perf Version 2 benchmark using Oracle Database 11g Release 2 running on Oracle Solaris 11.

  • The SPARC T4-4 server achieved throughput of 430,000 cube-queries/hour with an average response time of 0.85 seconds and the median response time of 0.43 seconds. This was achieved by using only 60% of the available CPU resources leaving plenty of headroom for future growth.

Performance Landscape

Oracle OLAP Perf Version 2 Benchmark
4 Billion Fact Table Rows
System Queries/
hour
Users* Response Time (sec)
Average Median
SPARC T4-4 430,000 7,300 0.85 0.43

* Users - the supported number of users with a given think time of 60 seconds

Configuration Summary and Results

Hardware Configuration:

SPARC T4-4 server with
4 x SPARC T4 processors, 3.0 GHz
1 TB memory
Data Storage
1 x Sun Fire X4275 (using COMSTAR)
2 x Sun Storage F5100 Flash Array (each with 80 FMODs)
Redo Storage
1 x Sun Fire X4275 (using COMSTAR with 8 HDD)

Software Configuration:

Oracle Solaris 11 11/11
Oracle Database 11g Release 2 (11.2.0.3) with Oracle OLAP option

Benchmark Description

The Oracle OLAP Perf Version 2 benchmark is a workload designed to demonstrate and stress the Oracle OLAP product's core features of fast query, fast update, and rich calculations on a multi-dimensional model to support enhanced Data Warehousing.

The bulk of the benchmark entails running a number of concurrent users, each issuing typical multidimensional queries against an Oracle OLAP cube. The cube has four dimensions: time, product, customer, and channel. Each query user issues approximately 150 different queries. One query chain may ask for total sales in a particular region (e.g South America) for a particular time period (e.g. Q4 of 2010) followed by additional queries which drill down into sales for individual countries (e.g. Chile, Peru, etc.) with further queries drilling down into individual stores, etc. Another query chain may ask for yearly comparisons of total sales for some product category (e.g. major household appliances) and then issue further queries drilling down into particular products (e.g. refrigerators, stoves. etc.), particular regions, particular customers, etc.

Results from version 2 of the benchmark are not comparable with version 1. The primary difference is the type of queries along with the query mix.

Key Points and Best Practices

  • Since typical BI users are often likely to issue similar queries, with different constants in the where clauses, setting the init.ora prameter "cursor_sharing" to "force" will provide for additional query throughput and a larger number of potential users. Except for this setting, together with making full use of available memory, out of the box performance for the OLAP Perf workload should provide results similar to what is reported here.

  • For a given number of query users with zero think time, the main measured metrics are the average query response time, the median query response time, and the query throughput. A derived metric is the maximum number of users the system can support achieving the measured response time assuming some non-zero think time. The calculation of the maximum number of users follows from the well-known response-time law

      N = (rt + tt) * tp

    where rt is the average response time, tt is the think time and tp is the measured throughput.

    Setting tt to 60 seconds, rt to 0.85 seconds and tp to 119.44 queries/sec (430,000 queries/hour), the above formula shows that the T4-4 server will support 7,300 concurrent users with a think time of 60 seconds and an average response time of 0.85 seconds.

    For more information see chapter 3 from the book "Quantitative System Performance" cited below.

See Also

Disclosure Statement

Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 11/2/2012.

Improved Performance on PeopleSoft Combined Benchmark using SPARC T4-4

Oracle's SPARC T4-4 server running Oracle's PeopleSoft HCM 9.1 combined online and batch benchmark achieved a world record 18,000 concurrent users experiencing subsecond response time while executing a PeopleSoft Payroll batch job of 500,000 employees in 32.4 minutes.

  • This result was obtained with a SPARC T4-4 server running Oracle Database 11g Release 2, a SPARC T4-4 server running PeopleSoft HCM 9.1 application server and a SPARC T4-2 server running Oracle WebLogic Server in the web tier.

  • The SPARC T4-4 server running the application tier used Oracle Solaris Zones which provide a flexible, scalable and manageable virtualization environment.

  • The average CPU utilization on the SPARC T4-2 server in the web tier was 17%, on the SPARC T4-4 server in the application tier it was 59%, and on the SPARC T4-4 server in the database tier was 47% (online and batch) leaving significant headroom for additional processing across the three tiers.

  • The SPARC T4-4 server used for the database tier hosted Oracle Database 11g Release 2 using Oracle Automatic Storage Management (ASM) for database files management with I/O performance equivalent to raw devices.

Performance Landscape

Results are presented for the PeopleSoft HRMS Self-Service and Payroll combined benchmark. The new result with 128 streams shows significant improvement in the payroll batch processing time with little impact on the self-service component response time.

PeopleSoft HRMS Self-Service and Payroll Benchmark
Systems Users Ave Response
Search (sec)
Ave Response
Save (sec)
Batch
Time (min)
Streams
SPARC T4-2 (web)
SPARC T4-4 (app)
SPARC T4-4 (db)
18,000 0.988 0.539 32.4 128
SPARC T4-2 (web)
SPARC T4-4 (app)
SPARC T4-4 (db)
18,000 0.944 0.503 43.3 64

The following results are for the PeopleSoft HRMS Self-Service benchmark that was previous run. The results are not directly comparable with the combined results because they do not include the payroll component.

PeopleSoft HRMS Self-Service 9.1 Benchmark
Systems Users Ave Response
Search (sec)
Ave Response
Save (sec)
Batch
Time (min)
Streams
SPARC T4-2 (web)
SPARC T4-4 (app)
2x SPARC T4-2 (db)
18,000 1.048 0.742 N/A N/A

The following results are for the PeopleSoft Payroll benchmark that was previous run. The results are not directly comparable with the combined results because they do not include the self-service component.

PeopleSoft Payroll (N.A.) 9.1 - 500K Employees (7 Million SQL PayCalc, Unicode)
Systems Users Ave Response
Search (sec)
Ave Response
Save (sec)
Batch
Time (min)
Streams
SPARC T4-4 (db)
N/A N/A N/A 30.84 96

Configuration Summary

Application Configuration:

1 x SPARC T4-4 server with
4 x SPARC T4 processors, 3.0 GHz
512 GB memory
Oracle Solaris 11 11/11
PeopleTools 8.52
PeopleSoft HCM 9.1
Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031
Java Platform, Standard Edition Development Kit 6 Update 32

Database Configuration:

1 x SPARC T4-4 server with
4 x SPARC T4 processors, 3.0 GHz
256 GB memory
Oracle Solaris 11 11/11
Oracle Database 11g Release 2
PeopleTools 8.52
Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031
Micro Focus Server Express (COBOL v 5.1.00)

Web Tier Configuration:

1 x SPARC T4-2 server with
2 x SPARC T4 processors, 2.85 GHz
256 GB memory
Oracle Solaris 11 11/11
PeopleTools 8.52
Oracle WebLogic Server 10.3.4
Java Platform, Standard Edition Development Kit 6 Update 32

Storage Configuration:

1 x Sun Server X2-4 as a COMSTAR head for data
4 x Intel Xeon X7550, 2.0 GHz
128 GB memory
1 x Sun Storage F5100 Flash Array (80 flash modules)
1 x Sun Storage F5100 Flash Array (40 flash modules)

1 x Sun Fire X4275 as a COMSTAR head for redo logs
12 x 2 TB SAS disks with Niwot Raid controller

Benchmark Description

This benchmark combines PeopleSoft HCM 9.1 HR Self Service online and PeopleSoft Payroll batch workloads to run on a unified database deployed on Oracle Database 11g Release 2.

The PeopleSoft HRSS benchmark kit is a Oracle standard benchmark kit run by all platform vendors to measure the performance. It's an OLTP benchmark where DB SQLs are moderately complex. The results are certified by Oracle and a white paper is published.

PeopleSoft HR SS defines a business transaction as a series of HTML pages that guide a user through a particular scenario. Users are defined as corporate Employees, Managers and HR administrators. The benchmark consist of 14 scenarios which emulate users performing typical HCM transactions such as viewing paycheck, promoting and hiring employees, updating employee profile and other typical HCM application transactions.

All these transactions are well-defined in the PeopleSoft HR Self-Service 9.1 benchmark kit. This benchmark metric is the weighted average response search/save time for all the transactions.

The PeopleSoft 9.1 Payroll (North America) benchmark demonstrates system performance for a range of processing volumes in a specific configuration. This workload represents large batch runs typical of a ERP environment during a mass update. The benchmark measures five application business process run times for a database representing large organization. They are Paysheet Creation, Payroll Calculation, Payroll Confirmation, Print Advice forms, and Create Direct Deposit File. The benchmark metric is the cumulative elapsed time taken to complete the Paysheet Creation, Payroll Calculation and Payroll Confirmation business application processes.

The benchmark metrics are taken for each respective benchmark while running simultaneously on the same database back-end. Specifically, the payroll batch processes are started when the online workload reaches steady state (the maximum number of online users) and overlap with online transactions for the duration of the steady state.

Key Points and Best Practices

  • Two PeopleSoft Domain sets with 200 application servers each on a SPARC T4-4 server were hosted in 2 separate Oracle Solaris Zones to demonstrate consolidation of multiple application servers, ease of administration and performance tuning.

  • Each Oracle Solaris Zone was bound to a separate processor set, each containing 15 cores (total 120 threads). The default set (1 core from first and third processor socket, total 16 threads) was used for network and disk interrupt handling. This was done to improve performance by reducing memory access latency by using the physical memory closest to the processors and offload I/O interrupt handling to default set threads, freeing up cpu resources for Application Servers threads and balancing application workload across 240 threads.

  • A total of 128 PeopleSoft streams server processes where used on the database node to complete payroll batch job of 500,000 employees in 32.4 minutes.

See Also

Disclosure Statement

Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 8 November 2012.

Tuesday Oct 02, 2012

Performance of Oracle Business Intelligence Benchmark on SPARC T4-4

Oracle's SPARC T4-4 server configured with four SPARC T4 3.0 GHz processors delivered 25,000 concurrent users on Oracle Business Intelligence Enterprise Edition (BI EE) 11g benchmark using Oracle Database 11g Release 2 running on Oracle Solaris 10.

  • A SPARC T4-4 server running Oracle Business Intelligence Enterprise Edition 11g achieved 25,000 concurrent users with an average response time of 0.36 seconds with Oracle BI server cache set to ON.

  • The benchmark data clearly shows that the underlying hardware, SPARC T4 server, and the Oracle BI EE 11g (11.1.1.6.0 64-bit) platform scales within a single system supporting 25,000 concurrent users while executing 415 transactions/sec.

  • The benchmark demonstrated the scalability of Oracle Business Intelligence Enterprise Edition 11g 11.1.1.6.0, which was deployed in a vertical scale-out fashion on a single SPARC T4-4 server.

  • Oracle Internet Directory configured on SPARC T4 server provided authentication for the 25,000 Oracle BI EE users with sub-second response time.

  • A SPARC T4-4 with internal Solid State Drive (SSD) using the ZFS file system showed significant I/O performance improvement over traditional disk for the Web Catalog activity. In addition, ZFS helped get past the UFS limitation of 32767 sub-directories in a Web Catalog directory.

  • The multi-threaded 64-bit Oracle Business Intelligence Enterprise Edition 11g and SPARC T4-4 server proved to be a successful combination by providing sub-second response times for the end user transactions, consuming only half of the available CPU resources at 25,000 concurrent users, leaving plenty of head room for increased load.

  • The Oracle Business Intelligence on SPARC T4-4 server benchmark results demonstrate that comprehensive BI functionality built on a unified infrastructure with a unified business model yields best-in-class scalability, reliability and performance.

  • Oracle BI EE 11g is a newer version of Business Intelligence Suite with richer and superior functionality. Results produced with Oracle BI EE 11g benchmark are not comparable to results with Oracle BI EE 10g benchmark. Oracle BI EE 11g is a more difficult benchmark to run, exercising more features of Oracle BI.

Performance Landscape

Results for the Oracle BI EE 11g version of the benchmark. Results are not comparable to the Oracle BI EE 10g version of the benchmark.

Oracle BI EE 11g Benchmark
System Number of Users Response Time (sec)
1 x SPARC T4-4 (4 x SPARC T4 3.0 GHz) 25,000 0.36

Results for the Oracle BI EE 10g version of the benchmark. Results are not comparable to the Oracle BI EE 11g version of the benchmark.

Oracle BI EE 10g Benchmark
System Number of Users
2 x SPARC T5440 (4 x SPARC T2+ 1.6 GHz) 50,000
1 x SPARC T5440 (4 x SPARC T2+ 1.6 GHz) 28,000

Configuration Summary

Hardware Configuration:

SPARC T4-4 server
4 x SPARC T4-4 processors, 3.0 GHz
128 GB memory
4 x 300 GB internal SSD

Storage Configuration:

Sun ZFS Storage 7120
16 x 146 GB disks

Software Configuration:

Oracle Solaris 10 8/11
Oracle Solaris Studio 12.1
Oracle Business Intelligence Enterprise Edition 11g (11.1.1.6.0)
Oracle WebLogic Server 10.3.5
Oracle Internet Directory 11.1.1.6.0
Oracle Database 11g Release 2

Benchmark Description

Oracle Business Intelligence Enterprise Edition (Oracle BI EE) delivers a robust set of reporting, ad-hoc query and analysis, OLAP, dashboard, and scorecard functionality with a rich end-user experience that includes visualization, collaboration, and more.

The Oracle BI EE benchmark test used five different business user roles - Marketing Executive, Sales Representative, Sales Manager, Sales Vice-President, and Service Manager. These roles included a maximum of 5 different pre-built dashboards. Each dashboard page had an average of 5 reports in the form of a mix of charts, tables and pivot tables, returning anywhere from 50 rows to approximately 500 rows of aggregated data. The test scenario also included drill-down into multiple levels from a table or chart within a dashboard.

The benchmark test scenario uses a typical business user sequence of dashboard navigation, report viewing, and drill down. For example, a Service Manager logs into the system and navigates to his own set of dashboards using Service Manager. The BI user selects the Service Effectiveness dashboard, which shows him four distinct reports, Service Request Trend, First Time Fix Rate, Activity Problem Areas, and Cost Per Completed Service Call spanning 2002 to 2005. The user then proceeds to view the Customer Satisfaction dashboard, which also contains a set of 4 related reports, drills down on some of the reports to see the detail data. The BI user continues to view more dashboards – Customer Satisfaction and Service Request Overview, for example. After navigating through those dashboards, the user logs out of the application. The benchmark test is executed against a full production version of the Oracle Business Intelligence 11g Applications with a fully populated underlying database schema. The business processes in the test scenario closely represent a real world customer scenario.

See Also

Disclosure Statement

Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 30 September 2012.

World Record Oracle E-Business Consolidated Workload on SPARC T4-2

Oracle set a World Record for the Oracle E-Business Suite Standard Medium multiple-online module benchmark using Oracle's SPARC T4-2 and SPARC T4-4 servers which ran the application and database.

  • Oracle's SPARC T4 servers demonstrate performance leadership and world-record results on Oracle E-Business Suite Applications R12 OLTP benchmark by publishing the first result using multiple concurrent online application modules with Oracle Database 11g Release 2 running Solaris.

  •  

  • This results shows that a multi-tier configuration of SPARC T4 servers running the Oracle E-Business Suite R12.1.2 application and Oracle Database 11g Release 2 is capable of supporting 4,100 online users with outstanding response-times, executing a mix of complex transactions consolidating 4 Oracle E-Business modules (iProcurement, Order Management, Customer Service and HR Self-Service).

  •  

  • The SPARC T4-2 server in the application tier utilized about 65% and the SPARC T4-4 server in the database tier utilized about 30%, providing significant headroom for additional Oracle E-Business Suite R12.1.2 processing modules, more online users, and future growth.

  •  

  • Oracle E-Business Suite Applications were run in Oracle Solaris Containers on SPARC T4 servers and provides a consolidation platform for multiple E-Business instances.

  •  

Performance Landscape

Multiple Online Modules (Self-Service, Order-Management, iProcurement, Customer-Service)
Medium Configuration
System Users Average
Response Time
90th Percentile
Response Time
SPARC T4-2 4,100 2.08 sec 2.52 sec

Configuration Summary

Application Tier Configuration:

1 x SPARC T4-2 server
2 x SPARC T4 processors, 2.85 GHz
256 GB memory
3 x 300 GB internal disks
Oracle Solaris 10
Oracle E-Business Suite 12.1.2

Database Tier Configuration:

1 x SPARC T4-4 server
4 x SPARC T4 processors, 3.0 GHz
256 GB memory
2 x 300 GB internal disks
Oracle Solaris 10
Oracle Solaris Containers
Oracle Database 11g Release 2

Storage Configuration:

1 x Sun Storage F5100 Flash Array (80 x 24 GB flash modules)

Benchmark Description

The Oracle R12 E-Business Suite Standard Benchmark combines online transaction execution by simulated users with multiple online concurrent modules to model a typical scenario for a global enterprise. The online component exercises the common UI flows which are most frequently used by a majority of our customers. This benchmark utilized four concurrent flows of OLTP transactions, for Order to Cash, iProcurement, Customer Service and HR Self-Service and measured the response times. The selected flows model simultaneous business activities inclusive of managing customers, services, products and employees.

See Also

Disclosure Statement

Oracle E-Business Suite R12 medium multiple-online module benchmark, SPARC T4-2, SPARC T4, 2.85 GHz, 2 chips, 16 cores, 128 threads, 256 GB memory, SPARC T4-4, SPARC T4, 3.0 GHz, 4 chips, 32 cores, 256 threads, 256 GB memory, average response time 2.08 sec, 90th percentile response time 2.52 sec, Oracle Solaris 10, Oracle Solaris Containers, Oracle E-Business Suite 12.1.2, Oracle Database 11g Release 2, Results as of 9/30/2012.

World Record Siebel PSPP Benchmark on SPARC T4 Servers

Oracle's SPARC T4 servers set a new World Record for Oracle's Siebel Platform Sizing and Performance Program (PSPP) benchmark suite. The result used Oracle's Siebel Customer Relationship Management (CRM) Industry Applications Release 8.1.1.4 and Oracle Database 11g Release 2 running Oracle Solaris on three SPARC T4-2 and two SPARC T4-1 servers.

  • The SPARC T4 servers running the Siebel PSPP 8.1.1.4 workload which includes Siebel Call Center and Order Management System demonstrates impressive throughput performance of the SPARC T4 processor by achieving 29,000 users.

  • This is the first Siebel PSPP 8.1.1.4 benchmark supporting 29,000 concurrent users with a rate of 239,748 Business Transactions/hour.

  • The benchmark demonstrates vertical and horizontal scalability of Siebel CRM Release 8.1.1.4 on SPARC T4 servers.

Performance Landscape

Systems Txn/hr Users Call Center Order
Management
Response Times (sec)
1 x SPARC T4-1 (1 x SPARC T4 2.85 GHz) – Web
3 x SPARC T4-2 (2 x SPARC T4 2.85 GHz) – App/Gateway
1 x SPARC T4-1 (1 x SPARC T4 2.85 GHz) – DB
239,748 29,000 0.165 0.925

Oracle:
Call Center + Order Management
Transactions: 197,128 + 42,620
Users: 20300 + 8700

Configuration Summary

Web Server Configuration:

1 x SPARC T4-1 server
1 x SPARC T4 processor, 2.85 GHz
128 GB memory
Oracle Solaris 10 8/11
iPlanet Web Server 7

Application Server Configuration:

3 x SPARC T4-2 servers, each with
2 x SPARC T4 processor, 2.85 GHz
256 GB memory
3 x 300 GB SAS internal disks
Oracle Solaris 10 8/11
Siebel CRM 8.1.1.4 SIA

Database Server Configuration:

1 x SPARC T4-1 server
1 x SPARC T4 processor, 2.85 GHz
128 GB memory
Oracle Solaris 11 11/11
Oracle Database 11g Release 2 (11.2.0.2)

Storage Configuration:

1 x Sun Storage F5100 Flash Array
80 x 24 GB flash modules

Benchmark Description

Siebel 8.1 PSPP benchmark includes Call Center and Order Management:

  • Siebel Financial Services Call Center – Provides the most complete solution for sales and service, allowing customer service and telesales representatives to provide superior customer support, improve customer loyalty, and increase revenues through cross-selling and up-selling.

    High-level description of the use cases tested: Incoming Call Creates Opportunity, Quote and Order and Incoming Call Creates Service Request . Three complex business transactions are executed simultaneously for specific number of concurrent users. The ratios of these 3 scenarios were 30%, 40%, 30% respectively, which together were totaling 70% of all transactions simulated in this benchmark. Between each user operation and the next one, the think time averaged approximately 10, 13, and 35 seconds respectively.

  • Siebel Order Management – Oracle's Siebel Order Management allows employees such as salespeople and call center agents to create and manage quotes and orders through their entire life cycle. Siebel Order Management can be tightly integrated with back-office applications allowing users to perform tasks such as checking credit, confirming availability, and monitoring the fulfillment process.

    High-level description of the use cases tested: Order & Order Items Creation and Order Updates. Two complex Order Management transactions were executed simultaneously for specific number of concurrent users concurrently with aforementioned three Call Center scenarios above. The ratio of these 2 scenarios was 50% each, which together were totaling 30% of all transactions simulated in this benchmark. Between each user operation and the next one, the think time averaged approximately 20 and 67 seconds respectively.

Key Points and Best Practices

  • No processor cores or cache were activated or deactivated on the SPARC T-Series systems to achieve special benchmark effects.

See Also

Disclosure Statement

Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 30 September 2012.

SPARC T4-4 Delivers World Record First Result on PeopleSoft Combined Benchmark

Oracle's SPARC T4-4 servers running Oracle's PeopleSoft HCM 9.1 combined online and batch benchmark achieved World Record 18,000 concurrent users while executing a PeopleSoft Payroll batch job of 500,000 employees in 43.32 minutes and maintaining online users response time at < 2 seconds.

  • This world record is the first to run online and batch workloads concurrently.

  • This result was obtained with a SPARC T4-4 server running Oracle Database 11g Release 2, a SPARC T4-4 server running PeopleSoft HCM 9.1 application server and a SPARC T4-2 server running Oracle WebLogic Server in the web tier.

  • The SPARC T4-4 server running the application tier used Oracle Solaris Zones which provide a flexible, scalable and manageable virtualization environment.

  • The average CPU utilization on the SPARC T4-2 server in the web tier was 17%, on the SPARC T4-4 server in the application tier it was 59%, and on the SPARC T4-4 server in the database tier was 35% (online and batch) leaving significant headroom for additional processing across the three tiers.

  • The SPARC T4-4 server used for the database tier hosted Oracle Database 11g Release 2 using Oracle Automatic Storage Management (ASM) for database files management with I/O performance equivalent to raw devices.

  • This is the first three tier mixed workload (online and batch) PeopleSoft benchmark also processing PeopleSoft payroll batch workload.

Performance Landscape

PeopleSoft HR Self-Service and Payroll Benchmark
Systems Users Ave Response
Search (sec)
Ave Response
Save (sec)
Batch
Time (min)
Streams
SPARC T4-2 (web)
SPARC T4-4 (app)
SPARC T4-4 (db)
18,000 0.944 0.503 43.32 64

Configuration Summary

Application Configuration:

1 x SPARC T4-4 server with
4 x SPARC T4 processors, 3.0 GHz
512 GB memory
1 x 600 GB SAS internal disks
4 x 300 GB SAS internal disks
1 x 100 GB and 2 x 300 GB internal SSDs
2 x 10 Gbe HBA
Oracle Solaris 11 11/11
PeopleTools 8.52
PeopleSoft HCM 9.1
Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031
Java Platform, Standard Edition Development Kit 6 Update 32

Database Configuration:

1 x SPARC T4-4 server with
4 x SPARC T4 processors, 3.0 GHz
256 GB memory
1 x 600 GB SAS internal disks
2 x 300 GB SAS internal disks
Oracle Solaris 11 11/11
Oracle Database 11g Release 2
PeopleTools 8.52
Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031

Web Tier Configuration:

1 x SPARC T4-2 server with
2 x SPARC T4 processors, 2.85 GHz
256 GB memory
2 x 300 GB SAS internal disks
1 x 300 GB internal SSD
1 x 100 GB internal SSD
Oracle Solaris 11 11/11
PeopleTools 8.52
Oracle WebLogic Server 10.3.4
Java Platform, Standard Edition Development Kit 6 Update 32

Storage Configuration:

1 x Sun Server X2-4 as a COMSTAR head for data
4 x Intel Xeon X7550, 2.0 GHz
128 GB memory
1 x Sun Storage F5100 Flash Array (80 flash modules)
1 x Sun Storage F5100 Flash Array (40 flash modules)

1 x Sun Fire X4275 as a COMSTAR head for redo logs
12 x 2 TB SAS disks with Niwot Raid controller

Benchmark Description

This benchmark combines PeopleSoft HCM 9.1 HR Self Service online and PeopleSoft Payroll batch workloads to run on a unified database deployed on Oracle Database 11g Release 2.

The PeopleSoft HRSS benchmark kit is a Oracle standard benchmark kit run by all platform vendors to measure the performance. It's an OLTP benchmark where DB SQLs are moderately complex. The results are certified by Oracle and a white paper is published.

PeopleSoft HR SS defines a business transaction as a series of HTML pages that guide a user through a particular scenario. Users are defined as corporate Employees, Managers and HR administrators. The benchmark consist of 14 scenarios which emulate users performing typical HCM transactions such as viewing paycheck, promoting and hiring employees, updating employee profile and other typical HCM application transactions.

All these transactions are well-defined in the PeopleSoft HR Self-Service 9.1 benchmark kit. This benchmark metric is the weighted average response search/save time for all the transactions.

The PeopleSoft 9.1 Payroll (North America) benchmark demonstrates system performance for a range of processing volumes in a specific configuration. This workload represents large batch runs typical of a ERP environment during a mass update. The benchmark measures five application business process run times for a database representing large organization. They are Paysheet Creation, Payroll Calculation, Payroll Confirmation, Print Advice forms, and Create Direct Deposit File. The benchmark metric is the cumulative elapsed time taken to complete the Paysheet Creation, Payroll Calculation and Payroll Confirmation business application processes.

The benchmark metrics are taken for each respective benchmark while running simultaneously on the same database back-end. Specifically, the payroll batch processes are started when the online workload reaches steady state (the maximum number of online users) and overlap with online transactions for the duration of the steady state.

Key Points and Best Practices

  • Two Oracle PeopleSoft Domain sets with 200 application servers each on a SPARC T4-4 server were hosted in 2 separate Oracle Solaris Zones to demonstrate consolidation of multiple application servers, ease of administration and performance tuning.

  • Each Oracle Solaris Zone was bound to a separate processor set, each containing 15 cores (total 120 threads). The default set (1 core from first and third processor socket, total 16 threads) was used for network and disk interrupt handling. This was done to improve performance by reducing memory access latency by using the physical memory closest to the processors and offload I/O interrupt handling to default set threads, freeing up cpu resources for Application Servers threads and balancing application workload across 240 threads.

See Also

Disclosure Statement

Oracle's PeopleSoft HR and Payroll combined benchmark, www.oracle.com/us/solutions/benchmark/apps-benchmark/peoplesoft-167486.html, results 09/30/2012.

Monday Oct 01, 2012

World Record Batch Rate on Oracle JD Edwards Consolidated Workload with SPARC T4-2

Oracle produced a World Record batch throughput for single system results on Oracle's JD Edwards EnterpriseOne Day-in-the-Life benchmark using Oracle's SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2. The workload includes both online and batch workload.

  • The SPARC T4-2 server delivered a result of 8,000 online users while concurrently executing a mix of JD Edwards EnterpriseOne Long and Short batch processes at 95.5 UBEs/min (Universal Batch Engines per minute).

  • In order to obtain this record benchmark result, the JD Edwards EnterpriseOne, Oracle WebLogic and Oracle Database 11g Release 2 servers were executed each in separate Oracle Solaris Containers which enabled optimal system resources distribution and performance together with scalable and manageable virtualization.

  • One SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2 utilized only 55% of the available CPU power.

  • The Oracle DB server in a Shared Server configuration allows for optimized CPU resource utilization and significant memory savings on the SPARC T4-2 server without sacrificing performance.

  • This configuration with SPARC T4-2 server has achieved 33% more Users/core, 47% more UBEs/min and 78% more Users/rack unit than the IBM Power 770 server.

  • The SPARC T4-2 server with 2 processors ran the JD Edwards "Day-in-the-Life" benchmark and supported 8,000 concurrent online users while concurrently executing mixed batch workloads at 95.5 UBEs per minute. The IBM Power 770 server with twice as many processors supported only 12,000 concurrent online users while concurrently executing mixed batch workloads at only 65 UBEs per minute.

  • This benchmark demonstrates more than 2x cost savings by consolidating the complete solution in a single SPARC T4-2 server compared to earlier published results of 10,000 users and 67 UBEs per minute on two SPARC T4-2 and SPARC T4-1.

  • The Oracle DB server used mirrored (RAID 1) volumes for the database providing high availability for the data without impacting performance.

Performance Landscape

JD Edwards EnterpriseOne Day in the Life (DIL) Benchmark
Consolidated Online with Batch Workload

System Rack
Units
(U)
Batch
Rate
(UBEs/m)
Online
Users
Users
/ U
Users
/ Core
Version
SPARC T4-2 (2 x SPARC T4, 2.85 GHz) 3 95.5 8,000 2,667 500 9.0.2
IBM Power 770 (4 x POWER7, 3.3 GHz, 32 cores) 8 65 12,000 1,500 375 9.0.2

Batch Rate (UBEs/m) — Batch transaction rate in UBEs per minute

Configuration Summary

Hardware Configuration:

1 x SPARC T4-2 server with
2 x SPARC T4 processors, 2.85 GHz
256 GB memory
4 x 300 GB 10K RPM SAS internal disk
2 x 300 GB internal SSD
2 x Sun Storage F5100 Flash Arrays

Software Configuration:

Oracle Solaris 10
Oracle Solaris Containers
JD Edwards EnterpriseOne 9.0.2
JD Edwards EnterpriseOne Tools (8.98.4.2)
Oracle WebLogic Server 11g (10.3.4)
Oracle HTTP Server 11g
Oracle Database 11g Release 2 (11.2.0.1)

Benchmark Description

JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations.

Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company.

  • The workload consists of online transactions and the UBE – Universal Business Engine workload of 61 short and 4 long UBEs.

  • LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time.

  • The UBE processes workload runs from the JD Enterprise Application server.

    • Oracle's UBE processes come as three flavors:

      • Short UBEs < 1 minute engage in Business Report and Summary Analysis,

      • Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address,

      • Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs.

    • The UBE workload generates large numbers of PDF files reports and log files.

    • The UBE Queues are categorized as the QBATCHD, a single threaded queue for large and medium UBEs, and the QPROCESS queue for short UBEs run concurrently.

Oracle's UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute.

Key Points and Best Practices

Two JD Edwards EnterpriseOne Application Servers, two Oracle WebLogic Servers 11g Release 1 coupled with two Oracle Web Tier HTTP server instances and one Oracle Database 11g Release 2 database on a single SPARC T4-2 server were hosted in separate Oracle Solaris Containers bound to four processor sets to demonstrate consolidation of multiple applications, web servers and the database with best resource utilizations.

  • Interrupt fencing was configured on all Oracle Solaris Containers to channel the interrupts to processors other than the processor sets used for the JD Edwards Application server, Oracle WebLogic servers and the database server.

  • A Oracle WebLogic vertical cluster was configured on each WebServer Container with twelve managed instances each to load balance users' requests and to provide the infrastructure that enables scaling to high number of users with ease of deployment and high availability.

  • The database log writer was run in the real time RT class and bound to a processor set.

  • The database redo logs were configured on the raw disk partitions.

  • The Oracle Solaris Container running the Enterprise Application server completed 61 Short UBEs, 4 Long UBEs concurrently as the mixed size batch workload.

  • The mixed size UBEs ran concurrently from the Enterprise Application server with the 8,000 online users driven by the LoadRunner.

See Also

Disclosure Statement

Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 09/30/2012.

About

BestPerf is the source of Oracle performance expertise. In this blog, Oracle's Strategic Applications Engineering group explores Oracle's performance results and shares best practices learned from working on Enterprise-wide Applications.

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