Wednesday Mar 05, 2014

SPARC T5-2 Delivers World Record 2-Socket SPECvirt_sc2010 Benchmark

Oracle's SPARC T5-2 server delivered a world record two-chip SPECvirt_sc2010 result of 4270 @ 264 VMs, establishing performance superiority in virtualized environments of the SPARC T5 processors with Oracle Solaris 11, which includes as standard virtualization products Oracle VM for SPARC and Oracle Solaris Zones.

  • The SPARC T5-2 server has 2.3x better performance than an HP BL620c G7 blade server (with two Westmere EX processors) which used VMware ESX 4.1 U1 virtualization software (best SPECvirt_sc2010 result on two-chip servers using VMware software).

  • The SPARC T5-2 server has 1.6x better performance than an IBM Flex System x240 server (with two Sandy Bridge processors) which used Kernel-based Virtual Machines (KVM).

  • This is the first SPECvirt_sc2010 result using Oracle production level software: Oracle Solaris 11.1, Oracle WebLogic Server 10.3.6, Oracle Database 11g Enterprise Edition, Oracle iPlanet Web Server 7 and Oracle Java Development Kit 7 (JDK). The only exception for the Dovecot mail server.

Performance Landscape

Complete benchmark results are at the SPEC website, SPECvirt_sc2010 Results. The following table highlights the leading two-chip results for the benchmark, bigger is better.

SPECvirt_sc2010
Leading Two-Chip Results
System Processor Result @ VMs Virtualization Software
SPARC T5-2 2 x SPARC T5, 3.6 GHz 4270 @ 264 Oracle VM Server for SPARC 3.0
Oracle Solaris Zones
IBM Flex System x240 2 x Intel E5-2690, 2.9 GHz 2741 @ 168 Red Hat Enterprise Linux 6.4 KVM
HP Proliant BL6200c G7 2 x Intel E7-2870, 2.4 GHz 1878 @ 120 VMware ESX 4.1 U1

Configuration Summary

System Under Test Highlights:

1 x SPARC T5-2 server, with
2 x 3.6 GHz SPARC T5 processors
1 TB memory
Oracle Solaris 11.1
Oracle VM Server for SPARC 3.0
Oracle iPlanet Web Server 7.0.15
Oracle PHP 5.3.14
Dovecot 2.1.17
Oracle WebLogic Server 11g (10.3.6)
Oracle Database 11g (11.2.0.3)
Java HotSpot(TM) 64-Bit Server VM on Solaris, version 1.7.0_51

Benchmark Description

The SPECvirt_sc2010 benchmark is SPEC's first benchmark addressing performance of virtualized systems. It measures the end-to-end performance of all system components that make up a virtualized environment.

The benchmark utilizes several previous SPEC benchmarks which represent common tasks which are commonly used in virtualized environments. The workloads included are derived from SPECweb2005, SPECjAppServer2004 and SPECmail2008. Scaling of the benchmark is achieved by running additional sets of virtual machines until overall throughput reaches a peak. The benchmark includes a quality of service criteria that must be met for a successful run.

Key Points and Best Practices

  • The SPARC T5 server running the Oracle Solaris 11.1, utilizes embedded virtualization products as the Oracle VM for SPARC and Oracle Solaris Zones, which provide a low overhead, flexible, scalable and manageable virtualization environment.

  • In order to provide a high level of data integrity and availability, all the benchmark data sets are stored on mirrored (RAID1) storage.

See Also

Disclosure Statement

SPEC and the benchmark name SPECvirt_sc are registered trademarks of the Standard Performance Evaluation Corporation. Results from www.spec.org as of 3/5/2014. SPARC T5-2, SPECvirt_sc2010 4270 @ 264 VMs; IBM Flex System x240, SPECvirt_sc2010 2741 @ 168 VMs; HP Proliant BL620c G7, SPECvirt_sc2010 1878 @ 120 VMs.

Friday Feb 14, 2014

SPARC M6-32 Delivers Oracle E-Business and PeopleSoft World Record Benchmarks, Linear Data Warehouse Scaling in a Virtualized Configuration

This result demonstrates how the combination of Oracle virtualization technologies for SPARC and Oracle's SPARC M6-32 server allow the deployment and concurrent high performance execution of multiple Oracle applications and databases sized for the Enterprise.

  • In an 8-chip Dynamic Domain (also known as PDom), the SPARC M6-32 server set a World Record E-Business 12.1.3 X-Large world record with 14,660 online users running five simultaneous E-Business modules.

  • In a second 8-chip Dynamic Domain, the SPARC M6-32 server set a World Record PeopleSoft HCM 9.1 HR Self-Service online supporting 35,000 users while simultaneously running a batch workload in 29.17 minutes. This was done with a database of 600,480 employees. Two other separate tests were run, one supporting 40,000 online users only and another a batch-only workload that was run in 18.27 min.

  • In a third Dynamic Domain with 16-chips on the SPARC M6-32 server, a data warehouse test was run that showed near-linear scaling.

  • On the SPARC M6-32 server, several critical applications instances were virtualized: an Oracle E-Business application and database, an Oracle's PeopleSoft application and database, and a Decision Support database instance using Oracle Database 12c.

  • In this Enterprise Virtualization benchmark a SPARC M6-32 server utilized all levels of Oracle Virtualization features available for SPARC servers. The 32-chip SPARC M6 based server was divided in three separate Dynamic Domains (also known as PDoms), available only on the SPARC Enterprise M-Series systems, which are completely electrically isolated and independent hardware partitions. Each PDom was subsequently split into multiple hypervisor-based Oracle VM for SPARC partitions (also known as LDoms), each one running its own Oracle Solaris kernel and managing its own CPUs and I/O resources. The hardware resources allocated to each Oracle VM for SPARC partition were then organized in various Oracle Solaris Zones, to further refine application tier isolation and resources management. The three PDoms were dedicated to the enterprise applications as follows:

    • Oracle E-Business PDom: Oracle E-Business 12.1.3 Suite World Record Extra-Large benchmark, exercising five Online Modules: Customer Service, Human Resources Self Service, iProcurement, Order Management and Financial, with 14,660 users and an average user response time under 2 seconds.

    • PeopleSoft PDom: PeopleSoft Human Capital Management (HCM) 9.1 FP2 World Record Benchmark, using PeopleTools 8.52 and an Oracle Database 11g Release 2, with 35,000 users, at an average user Search Time of 1.46 seconds and Save Time of 0.93 seconds. An online run with 40,000 users, had an average user Search Time of 2.17 seconds and Save Time of 1.39 seconds, and a Payroll batch run completed in 29.17 minutes elapsed time for more than 500,000 employees.

    • Decision Support PDom: An Oracle Database 12c instance executing a Decision Support workload on about 30 billion rows of data and achieving linear scalability, i.e. on the 16 chips comprising the PDom, the workload ran 16x faster than on a single chip. Specifically, the 16-chip PDom processed about 320M rows/sec whereas a single chip could process about 20M rows/sec.

  • The SPARC M6-32 server is ideally suited for large-memory utilization. In this virtualized environment, three critical applications made use of 16 TB of physical memory. Each of the Oracle VM Server for SPARC environments utilized from 4 to 8 TB of memory, more than the limits of other virtualization solutions.

  • SPARC M6-32 Server Virtualization Layout Highlights

    • The Oracle E-Business application instances were run in a dedicated Dynamic Domain consisting of 8 SPARC M6 processors and 4 TB of memory. The PDom was split into four symmetric Oracle VM Server for SPARC (LDoms) environments of 2 chips and 1 TB of memory each, two dedicated to the Application Server tier and the other two to the Database Server tier. Each Logical Domain was subsequently divided into two Oracle Solaris Zones, for a total of eight, one for each E-Business Application server and one for each Oracle Database 11g instance.

    • The PeopleSoft application was run in a dedicated Dynamic Domain (PDom) consisting of 8 SPARC M6 processors and 4 TB of memory. The PDom was split into two Oracle VM Server for SPARC (LDoms) environments one of 6 chips and 3 TB of memory, reserved for the Web and Application Server tiers, and a second one of 2 chips and 1 TB of memory, reserved for the Database tier. Two PeopleSoft Application Servers, a Web Server instance, and a single Oracle Database 11g instance were each executed in their respective and exclusive Oracle Solaris Zone.

    • The Oracle Database 12c Decision Support workload was run in a Dynamic Domain consisting of 16 SPARC M6 processors and 8 TB of memory.

  • All the Oracle Applications and Database instances were running at high level of performance and concurrently in a virtualized environment. Running three Enterprise level application environments on a single SPARC M6-32 server offers centralized administration, simplified physical layout, high availability and security features (as each PDom and LDom runs its own Oracle Solaris operating system copy physically and logically isolated from the other environments), enabling the coexistence of multiple versions Oracle Solaris and application software on a single physical server.

  • Dynamic Domains and Oracle VM Server for SPARC guests were configured with independent direct I/O domains, allowing for fast and isolated I/O paths, providing secure and high performance I/O access.

Performance Landscape

Oracle E-Business Test using Oracle Database 11g
SPARC M6-32 PDom, 8 SPARC M6 Processors, 4 TB Memory
Total Online Users Weighted Average
Response Time (sec)
90th Percentile
Response Time (s)
14,660 0.81 0.88
Multiple Online Modules X-Large Configuration (HR Self-Service, Order Management, iProcurement, Customer Service, Financial)

PeopleSoft HR Self-Service Online Plus Payroll Batch using Oracle Database 11g
SPARC M6-32 PDom, 8 SPARC M6 Processors, 4 TB Memory
HR Self-Service Payroll Batch
Elapsed (min)
Online Users Average User
Search / Save
Time (sec)
Transactions
per Second
35,000 1.46 / 0.93 116 29.17

HR Self-Service Only Payroll Batch Only
Elapsed (min)
40,000 2.17 / 1.39 132 18.27

Oracle Database 12c Decision Support Query Test
SPARC M6-32 PDom, 16 SPARC M6 Processors, 8 TB Memory
Parallelism
Chips Used
Rows Processing Rate
(rows/s)
Scaling Normalized to 1 Chip
16 319,981,734 15.9
8 162,545,303 8.1
4 80,943,271 4.0
2 40,458,329 2.0
1 20,086,829 1.0

Configuration Summary

System Under Test:

SPARC M6-32 server with
32 x SPARC M6 processors (3.6 GHz)
16 TB memory

Storage Configuration:

6 x Sun Storage 2540-M2 each with
8 x Expansion Trays (each tray equipped with 12 x 300 GB SAS drives)
7 x Sun Server X3-2L each with
2 x Intel Xeon E5-2609 2.4 GHz Processors
16 GB Memory
4 x Sun Flash Accelerator F40 PCIe 400 GB cards
Oracle Solaris 11.1 (COMSTAR)
1 x Sun Server X3-2L with
2 x Intel Xeon E5-2609 2.4 GHz Processors
16 GB Memory
12 x 3 TB SAS disks
Oracle Solaris 11.1 (COMSTAR)

Software Configuration:

Oracle Solaris 11.1 (11.1.10.5.0), Oracle E-Business
Oracle Solaris 11.1 (11.1.10.5.0), PeopleSoft
Oracle Solaris 11.1 (11.1.9.5.0), Decision Support
Oracle Database 11g Release 2, Oracle E-Business and PeopleSoft
Oracle Database 12c Release 1, Decision Support
Oracle E-Business Suite 12.1.3
PeopleSoft Human Capital Management 9.1 FP2
PeopleSoft PeopleTools 8.52.03
Oracle Java SE 6u32
Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 043
Oracle WebLogic Server 11g (10.3.4)

Oracle Dynamic Domains (PDoms) resources:


Oracle E-Business PeopleSoft Oracle DSS
Processors 8 8 16
Memory 4 TB 4 TB 8 TB
Oracle Solaris 11.1 (11.1.10.5.0) 11.1 (11.1.10.5.0) 11.1 (11.1.9.5.0)
Oracle Database 11g 11g 12c
Oracle VM for SPARC /
Oracle Solaris Zones
4 LDom / 8 Zones 2 LDom / 4 Zones None
Storage 7 x Sun Server X3-2L 1 x Sun Server X3-2L
(12 x 3 TB SAS )
2 x Sun Storage 2540-M2 / 2501 pairs
4 x Sun Storage 2540-M2/2501 pairs

Benchmark Description

This benchmark consists of three different applications running concurrently. It shows that large, enterprise workloads can be run on a single system and without performance impact between application environments.

The three workloads are:

  • Oracle E-Business Suite Online

    • This test simulates thousands of online users executing transactions typical of an internal Enterprise Resource Processing, including 5 application modules: Customer Service, Human Resources Self Service, Procurement, Order Management and Financial.

    • Each database tier uses a database instance of about 600 GB in size, and supporting thousands of application users, accessing hundreds of objects (tables, indexes, SQL stored procedures, etc.).

    • The application tier includes multiple web and application server instances, specifically Apache Web Server, Oracle Application Server 10g and Oracle Java SE 6u32.

  • PeopleSoft Human Capital Management

    • This test simulates thousands of online employees, managers and Human Resource administrators executing transactions typical of a Human Resources Self Service application for the Enterprise. Typical transactions are: viewing paychecks, promoting and hiring employees, updating employee profiles, etc.

    • The database tier uses a database instance of about 500 GB in size, containing information for 500,480 employees.

    • The application tier for this test includes web and application server instances, specifically Oracle WebLogic Server 11g, PeopleSoft Human Capital Management 9.1 and Oracle Java SE 6u32.

  • Decision Support Workload using the Oracle Database.

    • The query processes 30 billion rows stored in the Oracle Database, making heavy use of Oracle parallel query processing features. It performs multiple aggregations and summaries by reading and processing all the rows of the database.

Key Points and Best Practices

Oracle E-Business Environment

The Oracle E-Business Suite setup consisted 4 Oracle E-Business environments running 5 online Oracle E-Business modules simultaneously.

The Oracle E-Business environments were deployed on 4 Oracle VM for SPARC, respectively 2 for the Application tier and 2 for the Database tier. Each LDom included 2 SPARC M6 processor chips. The Application LDom was further split into 2 Oracle Solaris Zones, each one containing one Oracle E-Business Application instance. Similarly, on the Database tier, each LDom was further divided into 2 Oracle Solaris Zones, each containing an Oracle Database instance. Applications on the same LDom shared a 10 GbE network link to connect to the Database tier LDom. Each Application in a Zone was connected to its own dedicated Database Zone. The communication between the two Zones was implemented via Oracle Solaris 11 virtual network, which provides high performance, low latency transfers at memory speed using large frames (9000 bytes vs typical 1500 bytes frames).

The Oracle E-Business setup made use of the Oracle Database Shared Server feature in order to limit memory utilization, as well as the number of database Server processes. The Oracle Database configuration and optimization was substantially out-of-the-box, except for proper sizing the Oracle Database memory areas (System Global Area and Program Global Area).

In the Oracle E-Business Application LDom handling Customer Service and HR Self Service modules, 28 Forms servers and 8 OC4J application servers were hosted in the two separate Oracle Solaris Zones, for a total of 56 forms servers and 16 applications servers.

All the Oracle Database server processes and the listener processes were executed in the Oracle Solaris FX scheduler class.

PeopleSoft Environment

The PeopleSoft Application Oracle VM for SPARC had one Oracle Solaris Zone of 12 cores containing the web tier and two Oracle Solaris Zones of 57 cores total containing the Application tier. The Database tier was contained in an Oracle VM for SPARC consisting of one Oracle Solaris Zone of 24 cores. One core, in the Application Oracle VM, was dedicated to network and disk interrupt handling.

All database data files, recovery files and Oracle Clusterware files for the PeopleSoft test were created with the Oracle Automatic Storage Management (Oracle ASM) volume manager for the added benefit of the ease of management provided by Oracle ASM integrated storage management solution.

In the application tier, 5 PeopleSoft domains with 350 application servers (70 per each domain) were hosted in the two separate Oracle Solaris Zones for a total of 10 domains with 700 application server processes.

All PeopleSoft Application processes and Web Server JVM instances were executed in the Oracle Solaris FX scheduler class.

Oracle Decision Support Environment

The decision support workload showed how the combination of a large memory (8 TB) and a large number of processors (16 chips comprising 1536 virtual CPUs) together with Oracle parallel query facility can linearly increase the performance of certain decision support queries as the number of CPUs increase.

The large memory was used to cache the entire 30 billion row Oracle table in memory. There are a number of ways to accomplish this. The method deployed in this test was to allocate sufficient memory for Oracle's "keep cache" and direct the table to the "keep cache."

To demonstrate scalability, it was necessary to ensure that the number of Oracle parallel servers was always equal to the number of available virtual CPUs. This was accomplished by the combination of providing a degree of parallelism hint to the query and setting both parallel_max_servers and parallel_min_servers to the number of virtual CPUs.

The number of virtual CPUs for each stage of the scalability test was adjusted using the psradm command available in Oracle Solaris.

See Also

Disclosure Statement

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. PeopleSoft results as of 02/14/2014. Other results as of 09/22/2013.

Oracle E-Business Suite R12 extra-large multiple-online module benchmark, SPARC M6-32, SPARC M6, 3.6 GHz, 8 chips, 96 cores, 768 threads, 4 TB memory, 14,660 online users, average response time 0.81 sec, 90th percentile response time 0.88 sec, Oracle Solaris 11.1, Oracle Solaris Zones, Oracle VM for SPARC, Oracle E-Business Suite 12.1.3, Oracle Database 11g Release 2, Results as of 9/22/2013.

Thursday Sep 26, 2013

SPARC M6-32 Delivers Oracle E-Business and PeopleSoft World Record Benchmarks, Linear Data Warehouse Scaling in a Virtualized Configuration

This result has been superceded.  Please see the latest result.

 This result demonstrates how the combination of Oracle virtualization technologies for SPARC and Oracle's SPARC M6-32 server allow the deployment and concurrent high performance execution of multiple Oracle applications and databases sized for the Enterprise.

  • In an 8-chip Dynamic Domain (also known as PDom), the SPARC M6-32 server set a World Record E-Business 12.1.3 X-Large world record with 14,660 online users running five simultaneous E-Business modules.

  • In a second 8-chip Dynamic Domain, the SPARC M6-32 server set a World Record PeopleSoft HCM 9.1 HR Self-Service online supporting 34,000 users while simultaneously running a batch workload in 29.7 minutes. This was done with a database of 600,480 employees. In a separate test running a batch-only workload was run in 21.2 min.

  • In a third Dynamic Domain with 16-chips on the SPARC M6-32 server, a data warehouse test was run that showed near-linear scaling.

  • On the SPARC M6-32 server, several critical applications instances were virtualized: an Oracle E-Business application and database, an Oracle's PeopleSoft application and database, and a Decision Support database instance using Oracle Database 12c.

  • In this Enterprise Virtualization benchmark a SPARC M6-32 server utilized all levels of Oracle Virtualization features available for SPARC servers. The 32-chip SPARC M6 based server was divided in three separate Dynamic Domains (also known as PDoms), available only on the SPARC Enterprise M-Series systems, which are completely electrically isolated and independent hardware partitions. Each PDom was subsequently split into multiple hypervisor-based Oracle VM for SPARC partitions (also known as LDoms), each one running its own Oracle Solaris kernel and managing its own CPUs and I/O resources. The hardware resources allocated to each Oracle VM for SPARC partition were then organized in various Oracle Solaris Zones, to further refine application tier isolation and resources management. The three PDoms were dedicated to the enterprise applications as follows:

    • Oracle E-Business PDom: Oracle E-Business 12.1.3 Suite World Record Extra-Large benchmark, exercising five Online Modules: Customer Service, Human Resources Self Service, iProcurement, Order Management and Financial, with 14,660 users and an average user response time under 2 seconds.

    • PeopleSoft PDom: PeopleSoft Human Capital Management (HCM) 9.1 FP2 World Record Benchmark, using PeopleTools 8.52 and an Oracle Database 11g Release 2, with 34,000 users, at an average user Search Time of 1.11 seconds and Save Time of 0.77 seconds, and a Payroll batch run completed in 29.7 minutes elapsed time for more than 500,000 employees.

    • Decision Support PDom: An Oracle Database 12c instance executing a Decision Support workload on about 30 billion rows of data and achieving linear scalability, i.e. on the 16 chips comprising the PDom, the workload ran 16x faster than on a single chip. Specifically, the 16-chip PDom processed about 320M rows/sec whereas a single chip could process about 20M rows/sec.

  • The SPARC M6-32 server is ideally suited for large-memory utilization. In this virtualized environment, three critical applications made use of 16 TB of physical memory. Each of the Oracle VM Server for SPARC environments utilized from 4 to 8 TB of memory, more than the limits of other virtualization solutions.

  • SPARC M6-32 Server Virtualization Layout Highlights

    • The Oracle E-Business application instances were run in a dedicated Dynamic Domain consisting of 8 SPARC M6 processors and 4 TB of memory. The PDom was split into four symmetric Oracle VM Server for SPARC (LDoms) environments of 2 chips and 1 TB of memory each, two dedicated to the Application Server tier and the other two to the Database Server tier. Each Logical Domain was subsequently divided into two Oracle Solaris Zones, for a total of eight, one for each E-Business Application server and one for each Oracle Database 11g instance.

    • The PeopleSoft application was run in a dedicated Dynamic Domain (PDom) consisting of 8 SPARC M6 processors and 4 TB of memory. The PDom was split into two Oracle VM Server for SPARC (LDoms) environments one of 6 chips and 3 TB of memory, reserved for the Web and Application Server tiers, and a second one of 2 chips and 1 TB of memory, reserved for the Database tier. Two PeopleSoft Application Servers, a Web Server instance, and a single Oracle Database 11g instance were each executed in their respective and exclusive Oracle Solaris Zone.

    • The Oracle Database 12c Decision Support workload was run in a Dynamic Domain consisting of 16 SPARC M6 processors and 8 TB of memory.

  • All the Oracle Applications and Database instances were running at high level of performance and concurrently in a virtualized environment. Running three Enterprise level application environments on a single SPARC M6-32 server offers centralized administration, simplified physical layout, high availability and security features (as each PDom and LDom runs its own Oracle Solaris operating system copy physically and logically isolated from the other environments), enabling the coexistence of multiple versions Oracle Solaris and application software on a single physical server.

  • Dynamic Domains and Oracle VM Server for SPARC guests were configured with independent direct I/O domains, allowing for fast and isolated I/O paths, providing secure and high performance I/O access.

Performance Landscape

Oracle E-Business Test using Oracle Database 11g
SPARC M6-32 PDom, 8 SPARC M6 Processors, 4 TB Memory
Total Online Users Weighted Average
Response Time (sec)
90th Percentile
Response Time (s)
14,660 0.81 0.88
Multiple Online Modules X-Large Configuration (HR Self-Service, Order Management, iProcurement, Customer Service, Financial)

PeopleSoft HR Self-Service Online Plus Payroll Batch using Oracle Database 11g
SPARC M6-32 PDom, 8 SPARC M6 Processors, 4 TB Memory
HR Self-Service Payroll Batch
Elapsed (min)
Online Users Average User
Search / Save
Time (sec)
Transactions
per Second
34,000 1.11 / 0.77 113 29.7

Payroll Batch Only
Elapsed (min)
21.17

Oracle Database 12c Decision Support Query Test
SPARC M6-32 PDom, 16 SPARC M6 Processors, 8 TB Memory
Parallelism
Chips Used
Rows Processing Rate
(rows/s)
Scaling Normalized to 1 Chip
16 319,981,734 15.9
8 162,545,303 8.1
4 80,943,271 4.0
2 40,458,329 2.0
1 20,086,829 1.0

Configuration Summary

System Under Test:

SPARC M6-32 server with
32 x SPARC M6 processors (3.6 GHz)
16 TB memory

Storage Configuration:

6 x Sun Storage 2540-M2 each with
8 x Expansion Trays (each tray equipped with 12 x 300 GB SAS drives)
7 x Sun Server X3-2L each with
2 x Intel Xeon E5-2609 2.4 GHz Processors
16 GB Memory
4 x Sun Flash Accelerator F40 PCIe 400 GB cards
Oracle Solaris 11.1 (COMSTAR)
1 x Sun Server X3-2L with
2 x Intel Xeon E5-2609 2.4 GHz Processors
16 GB Memory
12 x 3 TB SAS disks
Oracle Solaris 11.1 (COMSTAR)

Software Configuration:

Oracle Solaris 11.1 (11.1.10.5.0), Oracle E-Business
Oracle Solaris 11.1 (11.1.10.5.0), PeopleSoft
Oracle Solaris 11.1 (11.1.9.5.0), Decision Support
Oracle Database 11g Release 2, Oracle E-Business and PeopleSoft
Oracle Database 12c Release 1, Decision Support
Oracle E-Business Suite 12.1.3
PeopleSoft Human Capital Management 9.1 FP2
PeopleSoft PeopleTools 8.52.03
Oracle Java SE 6u32
Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 043
Oracle WebLogic Server 11g (10.3.4)

Oracle Dynamic Domains (PDoms) resources:


Oracle E-Business PeopleSoft Oracle DSS
Processors 8 8 16
Memory 4 TB 4 TB 8 TB
Oracle Solaris 11.1 (11.1.10.5.0) 11.1 (11.1.10.5.0) 11.1 (11.1.9.5.0)
Oracle Database 11g 11g 12c
Oracle VM for SPARC /
Oracle Solaris Zones
4 LDom / 8 Zones 2 LDom / 4 Zones None
Storage 7 x Sun Server X3-2L 1 x Sun Server X3-2L
(12 x 3 TB SAS )
2 x Sun Storage 2540-M2 / 2501 pairs
4 x Sun Storage 2540-M2/2501 pairs

Benchmark Description

This benchmark consists of three different applications running concurrently. It shows that large, enterprise workloads can be run on a single system and without performance impact between application environments.

The three workloads are:

  • Oracle E-Business Suite Online

    • This test simulates thousands of online users executing transactions typical of an internal Enterprise Resource Processing, including 5 application modules: Customer Service, Human Resources Self Service, Procurement, Order Management and Financial.

    • Each database tier uses a database instance of about 600 GB in size, and supporting thousands of application users, accessing hundreds of objects (tables, indexes, SQL stored procedures, etc.).

    • The application tier includes multiple web and application server instances, specifically Apache Web Server, Oracle Application Server 10g and Oracle Java SE 6u32.

  • PeopleSoft Human Capital Management

    • This test simulates thousands of online employees, managers and Human Resource administrators executing transactions typical of a Human Resources Self Service application for the Enterprise. Typical transactions are: viewing paychecks, promoting and hiring employees, updating employee profiles, etc.

    • The database tier uses a database instance of about 500 GB in size, containing information for 500,480 employees.

    • The application tier for this test includes web and application server instances, specifically Oracle WebLogic Server 11g, PeopleSoft Human Capital Management 9.1 and Oracle Java SE 6u32.

  • Decision Support Workload using the Oracle Database.

    • The query processes 30 billion rows stored in the Oracle Database, making heavy use of Oracle parallel query processing features. It performs multiple aggregations and summaries by reading and processing all the rows of the database.

Key Points and Best Practices

Oracle E-Business Environment

The Oracle E-Business Suite setup consisted 4 Oracle E-Business environments running 5 online Oracle E-Business modules simultaneously. The Oracle E-Business environments were deployed on 4 Oracle VM for SPARC, respectively 2 for the Application tier and 2 for the Database tier. Each LDom included 2 SPARC M6 processor chips. The Application LDom was further split into 2 Oracle Solaris Zones, each one containing one Oracle E-Business Application instance. Similarly, on the Database tier, each LDom was further divided into 2 Oracle Solaris Zones, each containing an Oracle Database instance. Applications on the same LDom shared a 10 GbE network link to connect to the Database tier LDom. Each Application in a Zone was connected to its own dedicated Database Zone. The communication between the two Zones was implemented via Oracle Solaris 11 virtual network, which provides high performance, low latency transfers at memory speed using large frames (9000 bytes vs typical 1500 bytes frames).

The Oracle E-Business setup made use of the Oracle Database Shared Server feature in order to limit memory utilization, as well as the number of database Server processes. The Oracle Database configuration and optimization was substantially out-of-the-box, except for proper sizing the Oracle Database memory areas (System Global Area and Program Global Area).

In the Oracle E-Business Application LDom handling Customer Service and HR Self Service modules, 28 Forms servers and 8 OC4J application servers were hosted in the two separate Oracle Solaris Zones, for a total of 56 forms servers and 16 applications servers.

All the Oracle Database server processes and the listener processes were executed in the Oracle Solaris FX scheduler class.

PeopleSoft Environment

The PeopleSoft Application Oracle VM for SPARC had one Oracle Solaris Zone of 12 cores containing the web tier and two Oracle Solaris Zones of 28 cores each containing the Application tier. The Database tier was contained in an Oracle VM for SPARC consisting of one Oracle Solaris Zone of 24 cores. One and a half cores, in the Application Oracle VM, were dedicated to network and disk interrupt handling.

All database data files, recovery files and Oracle Clusterware files for the PeopleSoft test were created with the Oracle Automatic Storage Management (Oracle ASM) volume manager for the added benefit of the ease of management provided by Oracle ASM integrated storage management solution.

In the application tier, 5 PeopleSoft domains with 350 application servers (70 per each domain) were hosted in the two separate Oracle Solaris Zones for a total of 10 domains with 700 application server processes.

All PeopleSoft Application processes and Web Server JVM instances were executed in the Oracle Solaris FX scheduler class.

Oracle Decision Support Environment

The decision support workload showed how the combination of a large memory (8 TB) and a large number of processors (16 chips comprising 1536 virtual CPUs) together with Oracle parallel query facility can linearly increase the performance of certain decision support queries as the number of CPUs increase.

The large memory was used to cache the entire 30 billion row Oracle table in memory. There are a number of ways to accomplish this. The method deployed in this test was to allocate sufficient memory for Oracle's "keep cache" and direct the table to the "keep cache."

To demonstrate scalability, it was necessary to ensure that the number of Oracle parallel servers was always equal to the number of available virtual CPUs. This was accomplished by the combination of providing a degree of parallelism hint to the query and setting both parallel_max_servers and parallel_min_servers to the number of virtual CPUs.

The number of virtual CPUs for each stage of the scalability test was adjusted using the psradm command available in Oracle Solaris.

See Also

Disclosure Statement

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 09/22/2013.

Oracle E-Business Suite R12 extra-large multiple-online module benchmark, SPARC M6-32, SPARC M6, 3.6 GHz, 8 chips, 96 cores, 768 threads, 4 TB memory, 14,660 online users, average response time 0.81 sec, 90th percentile response time 0.88 sec, Oracle Solaris 11.1, Oracle Solaris Zones, Oracle VM for SPARC, Oracle E-Business Suite 12.1.3, Oracle Database 11g Release 2, Results as of 9/20/2013.

Tuesday Mar 26, 2013

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.

Tuesday Oct 02, 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.

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.

Wednesday Sep 28, 2011

SPARC T4 Servers Set World Record on PeopleSoft HRMS 9.1

Oracle's SPARC T4-4 servers running Oracle's PeopleSoft HRMS Self-Service 9.1 benchmark and Oracle Database 11g Release 2 achieved World Record performance on Oracle Solaris 10.

  • Using two SPARC T4-4 servers to run the application and database tiers and one SPARC T4-2 server to run the webserver tier, Oracle demonstrated world record performance of 15,000 concurrent users running the PeopleSoft HRMS Self-Service 9.1 benchmark.

  • The combination of the SPARC T4 servers running the PeopleSoft HRMS 9.1 benchmark supports 3.8x more online users with faster response time compared to the best published result from IBM on the previous PeopleSoft HRMS 8.9 benchmark.

  • The average CPU utilization on the SPARC T4-4 server in the application tier handling 15,000 users was less than 50%, leaving significant room for application growth.

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

Performance Landscape

PeopleSoft HRMS Self-Service 9.1 Benchmark
Systems Processors Users Ave Response -
Search (sec)
Ave Response -
Save (sec)
SPARC T4-2 (web)
SPARC T4-4 (app)
SPARC T4-4 (db)
2 x SPARC T4, 2.85 GHz
4 x SPARC T4, 3.0 GHz
4 x SPARC T4, 3.0 GHz
15,000 1.01 0.63
PeopleSoft HRMS Self-Service 8.9 Benchmark
IBM Power 570 (web/app)
IBM Power 570 (db)
12 x POWER5, 1.9 GHz
4 x POWER5, 1.9 GHz
4,000 1.74 1.25
IBM p690 (web)
IBM p690 (app)
IBM p690 (db)
4 x POWER4, 1.9 GHz
12 x POWER4, 1.9 GHz
6 x 4392 MPIS/Gen1
4,000 1.35 1.01

The main differences between version 9.1 and version 8.9 of the benchmark are:

  • the database expanded from 100K employees and 20K managers to 500K employees and 100K managers,
  • the manager data was expanded,
  • a new transaction, "Employee Add Profile," was added, the percent of users executing it is less then 2%, and the transaction has a heavier footprint,
  • version 9.1 has a different benchmark metric (Average Response search/save time for x number of users) versus single user search/save time,
  • newer versions of the PeopleSoft application and PeopleTools software are used.

Configuration Summary

Application Server:

1 x SPARC T4-4 server
4 x SPARC T4 processors 3.0 GHz
512 GB main memory
5 x 300 GB SAS internal disks,
2 x 100 GB internal SSDs
1 x 300 GB internal SSD
Oracle Solaris 10 8/11
PeopleSoft PeopleTools 8.51.02
PeopleSoft HCM 9.1
Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031
Java HotSpot(TM) 64-Bit Server VM on Solaris, version 1.6.0_20

Web Server:

1 x SPARC T4-2 server
2 x SPARC T4 processors 2.85 GHz
256 GB main memory
1 x 300 GB SAS internal disks
1 x 300 GB internal SSD
Oracle Solaris 10 8/11
PeopleSoft PeopleTools 8.51.02
Oracle WebLogic Server 11g (10.3.3)
Java HotSpot(TM) 64-Bit Server VM on Solaris, version 1.6.0_20

Database Server:

1 x SPARC T4-4 server
4 x SPARC T4 processors 3.0 GHz
256 GB main memory
3 x 300 GB SAS internal disks
1 x Sun Storage F5100 Flash Array (80 flash modules)
Oracle Solaris 10 8/11
Oracle Database 11g Release 2

Benchmark Description

The purpose of the PeopleSoft HRMS Self-Service 9.1 benchmark is to measure comparative online performance of the selected processes in PeopleSoft Enterprise HCM 9.1 with Oracle Database 11g. The benchmark kit is an Oracle standard benchmark kit run by all platform vendors to measure the performance. It's an OLTP benchmark with no dependency on remote COBOL calls, there is no batch workload, and DB SQLs are moderately complex. The results are certified by Oracle and a white paper is published.

PeopleSoft 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 consists of 14 scenarios which emulate users performing typical HCM transactions such as viewing paychecks, promoting and hiring employees, updating employee profiles and other typical HCM application transactions.

All these transactions are well-defined in the PeopleSoft HR Self-Service 9.1 benchmark kit. The benchmark metric is the Average Response Time for search and save for 15,000 users..

Key Points and Best Practices

  • The application tier was configured with two PeopleSoft application server instances on the SPARC T4-4 server hosted in two separate Oracle Solaris Containers to demonstrate consolidation of multiple application, ease of administration, and load balancing.

  • Each PeopleSoft Application Server instance running in an Oracle Solaris Container was configured to run 5 application server Domains with 30 application server instances to be able to effectively handle the 15,000 users workload with zero application server queuing and minimal use of resources.

  • The web tier was configured with 20 WebLogic instances and with 4 GB JVM heap size to load balance transactions across 10 PeopleSoft Domains. That enables equitable distribution of transactions and scaling to high number of users.

  • Internal SSDs were configured in the application tier to host PeopleSoft Application Servers object CACHE file systems and in the web tier for WebLogic servers' logging providing near zero millisecond service time and faster server response time.

See Also

Disclosure Statement

Oracle's PeopleSoft HRMS 9.1 benchmark, www.oracle.com/us/solutions/benchmark/apps-benchmark/peoplesoft-167486.html, results 9/26/2011.

Tuesday Sep 27, 2011

SPARC T4-2 Servers Set World Record on JD Edwards EnterpriseOne Day in the Life Benchmark with Batch, Outperforms IBM POWER7

Using Oracle's SPARC T4-2 server for the application tier and a SPARC T4-1 server for the database tier, a world record result was produced running the Oracle's JD Edwards EnterpriseOne application Day in the Life (DIL) benchmark concurrently with a batch workload.

  • The SPARC T4-2 server running online and batch with JD Edwards EnterpriseOne 9.0.2 is 1.7x faster and has better response time than the IBM Power 750 system which only ran the online component of JD Edwards EnterpriseOne 9.0 Day in the Life test.

  • The combination of SPARC T4 servers delivered a Day in the Life benchmark result of 10,000 online users with 0.35 seconds of average transaction response time running concurrently with 112 Universal Batch Engine (UBE) processes at 67 UBEs/minute.

  • This is the first JD Edwards EnterpriseOne benchmark for 10,000 users and payroll batch on a SPARC T4-2 server for the application tier and the database tier with Oracle Database 11g Release 2. All servers ran with the Oracle Solaris 10 operating system.

  • The single-thread performance of the SPARC T4 processor produced sub-second response for the online components and provided dramatic performance for the batch jobs.

  • The SPARC T4 servers, JD Edwards EnterpriseOne 9.0.2, and Oracle WebLogic Server 11g Release 1 support 17% more users per JAS (Java Application Server) than the SPARC T3-1 server for this benchmark.

  • The SPARC T4-2 server provided a 6.7x better batch processing rate than the previous SPARC T3-1 server record result and had 2.5x faster response time.

  • The SPARC T4-2 server used Oracle Solaris Containers, which provide flexible, scalable and manageable virtualization.

  • JD Edwards EnterpriseOne uses Oracle Fusion Middleware WebLogic Server 11g R1 and Oracle Fusion Middleware Cluster Web Tier Utilities 11g HTTP server.

  • The combination of the SPARC T4-2 server and Oracle JD Edwards EnterpriseOne in the application tier with a SPARC T4-1 server in the database tier measured low CPU utilization providing headroom for growth.

Performance Landscape

JD Edwards EnterpriseOne Day in the Life Benchmark
Online with Batch Workload

System Online
Users
Resp
Time (sec)
Batch
Concur
(# of UBEs)
Batch
Rate
(UBEs/m)
Version
2xSPARC T4-2 (app+web)
SPARC T4-1 (db)
10000 0.35 112 67 9.0.2
SPARC T3-1 (app+web)
SPARC Enterprise M3000 (db)
5000 0.88 19 10 9.0.1

Resp Time (sec) — Response time of online jobs reported in seconds
Batch Concur (# of UBEs) — Batch concurrency presented in the number of UBEs
Batch Rate (UBEs/m) — Batch transaction rate in UBEs per minute

Edwards EnterpriseOne Day in the Life Benchmark
Online Workload Only

System Online
Users
Response
Time (sec)
Version
SPARC T3-1, 1 x SPARC T3 (1.65 GHz), Solaris 10 (app)
M3000, 1 x SPARC64 VII (2.75 GHz), Solaris 10 (db)
5000 0.52 9.0.1
IBM Power 750, POWER7 (3.55 GHz) (app+db) 4000 0.61 9.0

IBM result from http://www-03.ibm.com/systems/i/advantages/oracle/, IBM used WebSphere

Configuration Summary

Application Tier Configuration:

1 x SPARC T4-2 server with
2 x 2.85 GHz SPARC T4 processors
128 GB main memory
6 x 300 GB 10K RPM SAS internal HDD
Oracle Solaris 10 9/10
JD Edwards EnterpriseOne 9.0.2 with Tools 8.98.3.3

Web Tier Configuration:

1 x SPARC T4-2 server with
2 x 2.85 GHz SPARC T4 processors
256 GB main memory
2 x 300 GB SSD
4 x 300 GB 10K RPM SAS internal HDD
Oracle Solaris 10 9/10
Oracle WebLogic Server 11g Release 1

Database Tier Configuration:

1 x SPARC T4-1 server with
1 x 2.85 GHz SPARC T4 processor
128 GB main memory
6 x 300 GB 10K RPM SAS internal HDD
2 x Sun Storage F5100 Flash Array
Oracle Solaris 10 9/10
Oracle Database 11g Release 2

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 42 short, 8 medium 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

One JD Edwards EnterpriseOne Application Server and two Oracle WebLogic Servers 11g R1 coupled with two Oracle Fusion Middleware 11g Web Tier HTTP Server instances on the SPARC T4-2 servers were hosted in three separate Oracle Solaris Containers to demonstrate consolidation of multiple application and web servers.

  • 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 and WebLogic servers.

  • Processor 0 was left alone for clock interrupts.

  • The applications were executed in the FX scheduling class to improve performance by reducing the frequency of context switches.

  • A 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 server was run in an Oracle Solaris Container hosted on the SPARC T4-2 server.

  • 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 private network between the SPARC T4-2 servers was configured with a 10 GbE interface.

  • The Oracle Solaris Container on the Enterprise Application server ran 42 Short UBEs, 8 Medium UBEs and 4 Long UBEs concurrently as the mixed size batch workload.

  • The mixed size UBEs ran concurrently from the application server with the 10000 online users driven by the LoadRunner.

See Also

Disclosure Statement

Copyright 2011, 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 9/26/2011.

Friday Jul 01, 2011

SPARC T3-1 Record Results Running JD Edwards EnterpriseOne Day in the Life Benchmark with Added Batch Component

Using Oracle's SPARC T3-1 server for the application tier and Oracle's SPARC Enterprise M3000 server for the database tier, a world record result was produced running the Oracle's JD Edwards EnterpriseOne applications Day in the Life benchmark run concurrently with a batch workload.

  • The SPARC T3-1 server based result has 25% better performance than the IBM Power 750 POWER7 server even though the IBM result did not include running a batch component.

  • The SPARC T3-1 server based result has 25% better space/performance than the IBM Power 750 POWER7 server as measured by the online component.

  • The SPARC T3-1 server based result is 5x faster than the x86-based IBM x3650 M2 server system when executing the online component of the JD Edwards EnterpriseOne 9.0.1 Day in the Life benchmark. The IBM result did not include a batch component.

  • The SPARC T3-1 server based result has 2.5x better space/performance than the x86-based IBM x3650 M2 server as measured by the online component.

  • The combination of SPARC T3-1 and SPARC Enterprise M3000 servers delivered a Day in the Life benchmark result of 5000 online users with 0.875 seconds of average transaction response time running concurrently with 19 Universal Batch Engine (UBE) processes at 10 UBEs/minute. The solution exercises various JD Edwards EnterpriseOne applications while running Oracle WebLogic Server 11g Release 1 and Oracle Web Tier Utilities 11g HTTP server in Oracle Solaris Containers, together with the Oracle Database 11g Release 2.

  • The SPARC T3-1 server showed that it could handle the additional workload of batch processing while maintaining the same number of online users for the JD Edwards EnterpriseOne Day in the Life benchmark. This was accomplished with minimal loss in response time.

  • JD Edwards EnterpriseOne 9.0.1 takes advantage of the large number of compute threads available in the SPARC T3-1 server at the application tier and achieves excellent response times.

  • The SPARC T3-1 server consolidates the application/web tier of the JD Edwards EnterpriseOne 9.0.1 application using Oracle Solaris Containers. Containers provide flexibility, easier maintenance and better CPU utilization of the server leaving processing capacity for additional growth.

  • A number of Oracle advanced technology and features were used to obtain this result: Oracle Solaris 10, Oracle Solaris Containers, Oracle Java Hotspot Server VM, Oracle WebLogic Server 11g Release 1, Oracle Web Tier Utilities 11g, Oracle Database 11g Release 2, the SPARC T3 and SPARC64 VII+ based servers.

  • This is the first published result running both online and batch workload concurrently on the JD Enterprise Application server. No published results are available from IBM running the online component together with a batch workload.

  • The 9.0.1 version of the benchmark saw some minor performance improvements relative to 9.0. When comparing between 9.0.1 and 9.0 results, the reader should take this into account when the difference between results is small.

Performance Landscape

JD Edwards EnterpriseOne Day in the Life Benchmark
Online with Batch Workload

This is the first publication on the Day in the Life benchmark run concurrently with batch jobs. The batch workload was provided by Oracle's Universal Batch Engine.

System Rack
Units
Online
Users
Resp
Time (sec)
Batch
Concur
(# of UBEs)
Batch
Rate
(UBEs/m)
Version
SPARC T3-1, 1xSPARC T3 (1.65 GHz), Solaris 10
M3000, 1xSPARC64 VII+ (2.86 GHz), Solaris 10
4 5000 0.88 19 10 9.0.1

Resp Time (sec) — Response time of online jobs reported in seconds
Batch Concur (# of UBEs) — Batch concurrency presented in the number of UBEs
Batch Rate (UBEs/m) — Batch transaction rate in UBEs/minute.

JD Edwards EnterpriseOne Day in the Life Benchmark
Online Workload Only

These results are for the Day in the Life benchmark. They are run without any batch workload.

System Rack
Units
Online
Users
Response
Time (sec)
Version
SPARC T3-1, 1xSPARC T3 (1.65 GHz), Solaris 10
M3000, 1xSPARC64 VII (2.75 GHz), Solaris 10
4 5000 0.52 9.0.1
IBM Power 750, 1xPOWER7 (3.55 GHz), IBM i7.1 4 4000 0.61 9.0
IBM x3650M2, 2xIntel X5570 (2.93 GHz), OVM 2 1000 0.29 9.0

IBM result from http://www-03.ibm.com/systems/i/advantages/oracle/, IBM used WebSphere

Configuration Summary

Hardware Configuration:

1 x SPARC T3-1 server
1 x 1.65 GHz SPARC T3
128 GB memory
16 x 300 GB 10000 RPM SAS
1 x Sun Flash Accelerator F20 PCIe Card, 96 GB
1 x 10 GbE NIC
1 x SPARC Enterprise M3000 server
1 x 2.86 SPARC64 VII+
64 GB memory
1 x 10 GbE NIC
2 x StorageTek 2540 + 2501

Software Configuration:

JD Edwards EnterpriseOne 9.0.1 with Tools 8.98.3.3
Oracle Database 11g Release 2
Oracle 11g WebLogic server 11g Release 1 version 10.3.2
Oracle Web Tier Utilities 11g
Oracle Solaris 10 9/10
Mercury LoadRunner 9.10 with Oracle Day in the Life kit for JD Edwards EnterpriseOne 9.0.1
Oracle’s Universal Batch Engine - Short UBEs and Long UBEs

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 other 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 workload of 15 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 UBEs, and the QPROCESS queue for short UBEs run concurrently.

  • One of the Oracle Solaris Containers ran 4 Long UBEs, while another Container ran 15 short UBEs concurrently.

  • The mixed size UBEs ran concurrently from the SPARC T3-1 server with the 5000 online users driven by the LoadRunner.

  • 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 and two Oracle Fusion Middleware WebLogic Servers 11g R1 coupled with two Oracle Fusion Middleware 11g Web Tier HTTP Server instances on the SPARC T3-1 server were hosted in four separate Oracle Solaris Containers to demonstrate consolidation of multiple application and web servers.

See Also

Disclosure Statement

Copyright 2011, 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 6/27/2011.

Wednesday Mar 23, 2011

SPARC T3-1B Doubles Performance on Oracle Fusion Middleware WebLogic Avitek Medical Records Sample Application

The Oracle WebLogic Server 11g software was used to demonstrate the performance of the Avitek Medical Records sample application. A configuration using SPARC T3-1B and SPARC Enterprise M5000 servers from Oracle was used and showed excellent scaling of different configurations as well as doubling previous generation SPARC blade performance.

  • A SPARC T3-1B server, running a typical real-world J2EE application on Oracle WebLogic Server 11g, together with a SPARC Enterprise M5000 server running the Oracle database, had 2.1x times the transactional throughput over the previous generation UltraSPARC T2 processor based Sun Blade T6320 server module.

  • The SPARC T3-1B server shows linear scaling as the number of cores in the SPARC T3 processor used in the SPARC T3-1B system module are doubled.

  • The Avitek Medical Records application instances were deployed in Oracle Solaris zones on the SPARC T3-1B server, allowing for flexible, scalable and lightweight architecture of the application tier.

Performance Landscape

Performance for the application tier is presented. Results are the maximum transactions per second (TPS).

Server Processor Memory Maximum TPS
SPARC T3-1B 1 x SPARC T3, 1.65 GHz, 16 cores 128 GB 28,156
SPARC T3-1B 1 x SPARC T3, 1.65 GHz, 8 cores 128 GB 14,030
Sun Blade T6320 1 x UltraSPARC T2, 1.4 GHz, 8 cores 64 GB 13,386

The same SPARC Enterprise M5000 server from Oracle was used in each case as the database server. Internal disk storage was used.

Configuration Summary

Hardware Configuration:

1 x SPARC T3-1B
1 x 1.65 GHz SPARC T3
128 GB memory

1 x Sun Blade T6320
1 x 1.4Ghz GHz SPARC T2
64 GB memory

1 x SPARC Enterprise M5000
8 x 2.53 SPARC64 VII
128 GB memory

Software Configuration:

Avitek Medical Records
Oracle Database 10g Release 2
Oracle WebLogic Server 11g R1 version 10.3.3 (Oracle Fusion Middleware)
Oracle Solaris 10 9/10
HP Mercury LoadRunner 9.5

Benchmark Description

Avitek Medical Records (or MedRec) is an Oracle WebLogic Server 11g sample application suite that demonstrates all aspects of the J2EE platform. MedRec showcases the use of each J2EE component, and illustrates best practice design patterns for component interaction and client development. Oracle WebLogic server 11g is a key component of Oracle Fusion Middleware 11g.

The MedRec application provides a framework for patients, doctors, and administrators to manage patient data using a variety of different clients. Patient data includes:

  • Patient profile information: A patient's name, address, social security number, and log-in information.

  • Patient medical records: Details about a patient's visit with a physician, such as the patient's vital signs and symptoms as well as the physician's diagnosis and prescriptions.

MedRec comprises of two main Java EE applications supporting different user scenarios:

medrecEar – Patients log in to the web application (patientWebApp) to register their profile or edit. Patients can also view medical records or their prior visits. Administrators use the web application (adminWebApp) to approve or deny new patient profile requests. medrecEar also provides all of the controller and business logic used by the MedRec application suite, as well as the Web Service used by different clients.

physicianEar – Physicians and nurses login to the web application (physicianWebApp) to search and access patient profiles, create and review medical records, and prescribe medicine to patients. The physician application is designed to communicate using the Web Service provided in the medrecEar.

The medrecEAR and physicianEar application are deployed to Oracle WebLogic Server 11g instance called MedRecServer. The physicianEAR application communicates with the controller components of medrecEAR using Web Services.

The workload injected into the MedRec applications measures the average transactions per second for the following sequence:

  1. A client opens page http://{host}:7011/Start.jsp (MedRec)
  2. Patient completes Registration process
  3. Administrator login, approves the patient profile, and logout
  4. Physician connect to the on-line system and logs in
  5. Physician performs search for a patient and looks up patient's visit information
  6. Physician logs out
  7. Patient logs in and reviews the profile
  8. Patient makes changes to the profile and updates the information
  9. Patient logs out

Each of the above steps constitutes a single transaction.

Key Points and Best Practices

Please see the Oracle documentation on the Oracle Technical Network for tuning your Oracle WebLogic Server 11g deployment.

See Also

Disclosure Statement

Copyright 2011, 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 3/22/2011.

Thursday Feb 17, 2011

SPARC T3-1 takes JD Edwards "Day In the Life" benchmark lead, beats IBM Power7 by 25%

Oracle's SPARC T3-1 server, running the application, together with Oracle's SPARC Enterprise M3000 server running the database, have achieved a record result of 5000 users, with 0.523 seconds of average transaction response time, for the online component of the "Day in the Life" JD Edwards EnterpriseOne benchmark.

  • The "Day in the Life" benchmark tests the Oracle JD Edwards EnterpriseOne applications, running Oracle Fusion Middleware WebLogic Server 11g R1, Oracle Fusion Middleware Web Tier Utilities 11g HTTP server and JD Edwards EnterpriseOne 9.0.1 in Oracle Solaris Containers, together with the Oracle Database 11g Release 2.

  • The SPARC T3-1 server is 25% faster and has better response time than the IBM P750 POWER7 system, when executing the JD Edwards EnterpriseOne 9.0.1 Day in the Life test, online component.

  • The SPARC T3-1 server had 25% better space/performance than the IBM P750 POWER7 server.

  • The SPARC T3-1 server is 5x faster than the x86-based IBM x3650 M2 server system, when executing the JD Edwards EnterpriseOne 9.0.1 Day in the Life test, online component.

  • The SPARC T3-1 server had 2.5x better space/performance than the x86-based IBM x3650 M2 server.

  • The SPARC T3-1 server consolidated the application/web tier of the JD Edwards EnterpriseOne 9.0.1 application using Oracle Solaris Containers. Containers provide flexibility, easier maintenance and better CPU utilization of the server leaving processing capacity for additional growth.

  • The SPARC Enterprise M3000 server provides enterprise class RAS features for customers deploying the Oracle 11g Release 2 database software.

  • To obtain this leading result, a number of Oracle advanced technology and features were used: Oracle Solaris 10, Oracle Solaris Containers, Oracle Java Hotspot Server VM, Oracle Fusion Middleware WebLogic Server 11g R1, Oracle Fusion Middleware Web Tier Utilities 11g, Oracle Database 11g Release 2, the SPARC T3 and the SPARC64 VII based servers.

Performance Landscape

JD Edwards EnterpriseOne DIL Online Component Performance Chart

System Memory OS #user JD Edwards
Version
Rack
Units
Response
Time
(sec)
SPARC T3-1, 1x1.65 GHz SPARC T3 128 Solaris 10 5000 9.0.1 2U 0.523
\*IBM Power 750, 1x3.55 GHz POWER7 120 IBM i7.1 4000 9.0 4U 0.61
IBM Power 570, 4x4.2 GHz POWER6 128 IBM i6.1 2400 8.12 4U 1.129
IBM x3650M2, 2x2.93 GHz X5570 64 OVM 1000 9.0 2U 0.29

\* from http://www-03.ibm.com/systems/i/advantages/oracle/, IBM used Websphere

Configuration Summary

Hardware Configuration:

1 x SPARC T3-1 server
1 x 1.65 GHz SPARC T3
128 GB memory
16 x 300 GB 10000 RPM SAS
1 x 1 GbE NIC
1 x SPARC Enterprise M3000
1 x 2.75 SPARC 64 VII
64 GB memory
1 x 1 GbE NIC
2 x StorageTek 2540/2501

Software Configuration:

JD Edwards EnterpriseOne 9.0.1 with Tools 8.98.3.3
Oracle Database 11g Release 2
Oracle Fusion Middleware 11g WebLogic server 11g R1 version 10.3.2
Oracle Fusion Middleware Web Tier Utilities 11g
Oracle Solaris 10 9/10
Mercury LoadRunner 9.10 with Oracle DIL kit for JD Edwards EnterpriseOne 9.0 update 1

Benchmark Description

Oracle's JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning software.

  • Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations.
  • Oracle 's Day-In-Life (DIL) kit is a suite of scripts that exercises most common transactions of J.D. Edwards EnterpriseOne applications including business processes such as payroll, sales order, purchase order, work order, and other manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS.
  • Oracle's DIL kit's scripts execute transactions typical of a mid-sized manufacturing company.
  • The workload consists of online transactions. It does not include the batch processing job components.
  • LoadRunner is used to run the workload and collect the users' transactions response times against increasing numbers of users from 500 to 5000.
  • Key metric used to evaluate performance is the transaction response time which is reported by LoadRunner.

Key Points and Best Practices

Two JD Edwards EnterpriseOne and two Oracle Fusion Middleware WebLogic Servers 11g R1 coupled with two Fusion Middleware 11g Web Tier HTTP Servers instances on the SPARC T3-1 server were hosted in four separate Oracle Solaris Containers to demonstrate consolidation of multiple application and web servers.

  • Each Oracle Solaris container was bound to a separate processor set with 40 virtual processors allocated to each EnterpriseOne Server, 16 virtual processors allocated to each WebServer container and 16 to the default set. This was done to improve performance by using the physical memory closest to the processors, thereby, reducing memory access latency and reducing processor cross calls. The default processor set was used for network and disk interrupt handling.

  • The applications were executed in the FX scheduling class to improve performance by reducing the frequency of context switches.

  • A WebLogic Vertical cluster was configured on each WebServer container with seven 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 server was run in an Oracle Solaris Container hosted on the Oracle's SPARC Enterprise M3000 server.

See Also

Disclosure Statement

Copyright 2011, 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 2/16/2011.

Thursday Sep 30, 2010

Consolidation of 30 x86 Servers onto One SPARC T3-2

One of Oracle's SPARC T3-2 servers was able to consolidate the database workloads off of thirty older x86 servers in a secure virtualized environment.

  • The thirty x86 servers required 6.7 times more power than the consolidated workload on the SPARC T3-2 server.

  • The x86 configuration used 10 times the rack space than the consolidated workload did on the SPARC T3-2 server.

  • In addition to power & space considerations, there are also administrative cost savings resulting from having to manage just one server, as opposed to thirty servers.

  • Gartner says, "They need to realize that removing a single x86 server from a data center will result in savings of more than $400 a year in energy costs alone".

  • The total transaction throughput for the SPARC T3 server (132,000) was almost the same as the aggregate throughput achieved by the thirty x86 servers (138,000), where each x86 running at 10% utilization.

  • The average transaction response time on the SPARC T3-2 server (24 ms) was just a little higher than the average transaction response time on the Intel servers (19.5 ms).

Performance Landscape

System Oracle
Instances
Average
System
Utilization
Transactions/
min/system
Average
Response
time (ms)
watts/
system
OS
Sun Fire X4250
2x 3.0GHz Xeon
1 10% 4,600 19.5 320 Linux
SPARC T3-2
1x 1.65GHz SPARC T3
30 80% 132,000 24.0 1400\* Solaris

\* power consumption includes storage and periperal devices

Notes:
total throughput for 30 Intel systems = 30 \* 4600 = 138,000
total watts for 30 Intel systems = 30 \* 320 = 9600

Results and Configuration Summary

x86 Server Configuration:

30 x Sun Fire X4250 servers, each with
2 X Intel 3.0 GHz E5450 processors
16 GB memory
6 x internal 146 GB 15K SAS disks
RedHat Linux 5.3
Oracle Database 11g Release 2

SPARC T3 Server Configuration:

1 x SPARC T3-2 server
2 x 1.65 GHz SPARC T3 processors
256 GB memory
2 X 10K 300 GB internal SAS disks
1 x Sun Storage F5100 Flash Array storage
1 x Sun Fires X4270 server as COMSTAR target
Oracle Solaris 10 9/10
Oracle Database 11g Release 2

Benchmark Description

This demonstration was designed to show the benefits of virtualization when upgrading from older X86 systems to one of Oracle's T-series servers. A 30:1 consolidation was shown moving from thirty X86 Linux servers to a single T-Series server running Oracle Solaris in a secure virtualized environment. After the consolidation, there was still 20% headroom in the SPARC T3-2 server for additional growth in the workload.

The 200 scale iGen OLTP workload was used to test the consolidation. The x86 system was loaded with iGen clients up to a level of 10% cpu utilization. This load level for x86 systems is typically found in many data centers.

Thirty Oracle Solaris zones (containers) were created on the SPARC T3-2 server, with each zone configured identically as the Oracle configuration on the x86 server. The throughput on each zone was ramped up to the same level as on the Intel base server.

The overall CPU utilization on the SPARC T3-2 server, together with the average iGen transaction response times were then measured along with the power consumption.

Key Points and Best Practices

  • Each Oracle Solaris container was assigned to a processor set consisting of eight virtual CPUs. This use of processor sets was critical to obtaining the reported performance number. Without processor set, the performance was reduced to about one-half the reported performance number.

  • Once the first container was completely configured (with Oracle 11g and iGen installed), the remaining containers were created by a simple cloning procedure, which took no more than a few minutes for each container.

  • Setting up a standalone x86 server with Linux, Oracle and iGen is a far more time consuming task than setting up additional containers once the first container has been created.

See Also

Disclosure Statement

Copyright 2010, 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 9/20/2010.

Wednesday Oct 14, 2009

Oracle Open World (OOW) BestPerf Index 14 October 2009

Here is a BestPerf blog index to a variety of benchmarks announced at Oracle Open World and others talked about at the conference.

Colors used:

Benchmark
Best Practices
Other

ORACLEOPENWORLD

CMT Servers

Oct 11, 2009 \* TPC-C World Record Sun - Oracle \*
Oct 13, 2009 Sun T5440 Oracle BI EE Sun T5440 World Record
Oct 13, 2009 SPECweb200 Sun T5440 World Record, Solaris Containers and Sun Storage F5100
Sep 01, 2009 String Searching - Sun T5240 & T5440 Outperform IBM Cell Broadband Engine
Aug 27, 2009 Sun T5240 Beats 4-Chip IBM Power 570 POWER6 System on SPECjbb2005
Aug 26, 2009 Sun T5220 Sets Single Chip World Record on SPECjbb2005
Aug 12, 2009 SPECmail2009 on Sun 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 World Record SAP-SD 4-Processor Two-tier SAP ERP 6.0 EP4 (Unicode)

SPARC64 Servers

Oct 13, 2009 SAP 2-tier SD Benchmark on Sun M9000/32 SPARC64 VII
Oct 13, 2009 Oracle PeopleSoft Payroll Sun M4000 and Sun Storage F5100 World Record Performance
Oct 12, 2009 Best Practices: M4000 Sun Storage F5100 is a good option for Peoplesoft Payroll
Oct 13, 2009 Oracle Hyperion Sun M5000 and Sun Storage 7410
Oct 13, 2009 SPECcpu2006 Results On MSeries Servers, New SPARC64 VII

X86 Servers

Oct 13, 2009 SAP 2-tier SD-Parallel on Sun Blade X6270 1-node, 2-node and 4-node
Aug 28, 2009 Sun X4270 World Record SAP-SD 2-Processor Two-tier SAP ERP 6.0 EP 4 (Unicode)
Oct 02, 2009 Sun X4270 VMware VMmark benchmark achieves excellent result
Sep 22, 2009 Sun X4270 Virtualized for Two-tier SAP ERP 6.0 EP4 (Unicode) Standard Sales and Distribution Benchmark

HPC Benchmarks

Oct 13, 2009 Halliburton ProMAX Oil & Gas Appl on Sun 6048/X6275 Cluster and Oracle Database
Oct 13, 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 13, 2009 CP2K Life Sciences, Ab-initio Chem - Sun C48 with Sun Blade X6275 - QDR InfiniBand
Oct 09, 2009 X6275 Cluster Demonstrates Performance and Scalability on WRF 2.5km CONUS Dataset

Specific Storage Benchmarks

Oct 12, 2009 SPC-2 Sun Storage 6180 RAID 5 & RAID 6 Over 70% Better $/Performance than IBM
Oct 12, 2009 SPC-1 Sun Storage 6180 Over 70% Better $/Performance than IBM
Oct 12, 2009 1.6 Million 4K IOPS in 1RU on Sun Storage F5100 Flash Array

Additional CMT Server Benchmarks

Jul 21, 2009 1.6 GHz SPEC CPU2006 - Rate Benchmarks
Jul 21, 2009 Sun Blade T6320 World Record SPECjbb2005 performance
Jul 21, 2009 Sun T5440 SPECjbb2005 Beats IBM POWER6 Chip-to-Chip

Friday Oct 02, 2009

Sun X4270 VMware VMmark benchmark achieves excellent result

The Sun Fire X4270 server delivered an excellent result on the virtualization benchmark VMmark from VMware for 8 core platforms running VMware ESX 4.0 OS.

The Sun Fire X4270 server powered by two 2.93GHz Quad-Core Intel Xeon X5570 processors achieved a score of 24.18 @ 17 tiles, supporting 102 fully fledged Virtual Machine instances (17 Tiles).

With this competitive result of 24.18 @ 17 tiles for the VMmark virtualization benchmark, the Sun Fire X4270 server is within 1% of the top score of 24.35 @ 17 tiles for 8 core platforms with equivalent 1066 MHz memory.

The Sun and VMware partnership offers one of the best virtualization platforms in the industry with the performance and scalability features available on the Sun Fire X4270 server.

Under the heavy load conditions of the VMmark benchmark, the Sun Fire X4270 server delivers near linear scalability.

Consolidating multiple applications onto the Sun Fire X4270 server helps IT organizations cut cost and complexity, increase agility, and reduce data center power and cooling.

Customers can consolidate several Solaris 10 OS, Linux, and Microsoft Windows applications onto a single server using VMware Virtual Infrastructure technology

The Sun Fire X4270 server achieved the competitive result of  24.18 @17 tiles with a simple I/O configuration consisting of One single port 10Gbe network card and One 4Gb dual port FC HBA and One SAS/SATA combo HBA for supporting 8 internal SATA SSDs.

Competitive Landscape Performance

VMmark 8 Core Results (sorted by score, bigger is better)


System
CPU (GHz\*) GB ESX ver Spindles RAID Tiles Score Pub Date
HP BL490c G6 2 x Xeon X5570 (2.93) 96 4.0 #164009 133 0 17 24.54 09/22/09
Lenovo R525 G2 2 x Xeon X5570 (2.93) 96 4.0 #164009 55 0 17 24.35 06/30/09
Dell PowerEdge R710 2 x Xeon X5570 (2.93) 96 4.0 #164009 98 0 17 24.27 09/08/09
HP BL490 G6 2 x Xeon X5570 (2.93) 96 4.0 #158725 132 0 17 24.24 05/19/09
Fujitsu RX200 S5 2 x Xeon X5570 (2.93) 96 4.0 #164009 291 0 17 24.20 08/11/09
Sun Fire X4270 2 x Xeon X5570 (2.93) 96 4.0 #164009 235 0 17 24.18 09/28/09
HP DL380 G6 2 x Xeon X5570 (2.93) 96 4.0 #148783 120 0 17 24.15 05/19/09
Cisco B200-M1 2 x Xeon X5570 (2.93) 96 4.0 #151628 20 0 17 24.14 04/21/09
IBM BladeCenter HS22 2 x Xeon X5570 (2.93) 96 4.0 #161959 289 0 17 24.05 06/30/09
Dell PowerEdge R710 2 x Xeon X5570 (2.93) 96 4.0 #150817 170 0 17 24.00 04/21/09

Notes:
\* Intel Turbo Boost up to 3.33GHz

Configuration Summary

Hardware Configuration:

  1. Sun Fire X4270 Server
  2. 2 x 2.93GHz 4-Core Intel Xeon X5570 EP processors
    96GB memory (12x 8GB DIMMs)
    1x 32GB SATA SSD for OS
    7x 32GB SATA SSD for database VMs.
    1x QLE2462 4Gb dual port Fiber Channel Host Adapter
    1x Intel Pro/10GbE-SR

  3. Storage
  4. 9x STK2540 + 9x STK2501 RAID level 0, each with
    12x 146GB SAS 15k rpm drives
    1x STK2540 RAID level 0 with
    12x 146GB SAS 15k rpm drives

  5. Clients:
  6. Sun Blade 6000 Chassis with 10x Sun Blade X6240
    Sun Blade 6000 Chassis with 7x Sun Blade X6240
    Each X6240 equipped with 2 x 2.5 GHz Quad Core AMD Opteron 2380,
    32GB memory, 1x 73GB 15K rpm SAS Disk

Software Configuration:

  1. VMware OS and Benchmark Software
  2. VMware ESX 4.0 build #164009
    VMmark 1.1.1

  3. VMmark Virtual machines
    1. Mail server
    2. Windows 2003 32-bit Enterprise Edition
      2 Virtual CPUs (vcpu)
      24 GB disk
      1 GB of memory
      Exchange 2003
    3. Java server
    4. Windows 2003 64-bit Enterprise Edition
      2 VCPUs
      8 GB disk
      1 GB of memory
      SPECjbb2005
    5. Standby server
    6. Windows 2003 32-bit Enterprise Edition
      1 VCPUs
      4 GB disk
      256 MB of memory
      No application
    7. Web server
    8. SLES 10 64-bit
      2 Virtual CPUs (vcpu)
      8 GB disk
      512 MB of memory
      SPECweb2005
    9. Database server
    10. SLES 10 64-bit
      2 Virtual CPUs (vcpu)
      10 GB disk
      2 GB of memory
      MySQL
    11. File server
    12. SLES 10 32-bit
      1 Virtual CPUs (vcpu)
      8 GB disk
      256 MB of memory
      dbbench

  4. Clients
  5. Windows 2003 32-bit Enterprise Edition
    LoadSim2003, Microsoft Outlook 2003
    SPECjbb Monior
    Idle VM test
    SPECweb2005 client
    MySQL, Sysbench
    dbbench based tbench_srv.exe
    BEA JRockit 5.0 JVM JDK
    VMmark Harness
    STAF framework and STAX execution engine.

Benchmark Description

VMmark is a benchmark developed, distributed and owned by VMware. The purpose of this benchmark is to measure performance and scalability of a pre-established mix of workloads (a Tile), which allows comparisons among similar platforms.

A Tile consists of 6 fixed workload applications, each running in its own Virtual Machine (VM) (6 VMs per Tile) such as Mail, Java, Web, Database and File Serving plus a standby server (spare Virtual Machine).

VMmark benchmark provides two key performance metrics:

  1. The Number of TILES supported by a system, which is an indication of how many systems/applications can be consolidated on one platform (the higher the number of tiles supported the higher the number of consolidated systems.

  2. The Score, which is an overall measure of the amount of work that is accomplished by all the Tiles in the system at a specified level of service of all the workloads during a benchmark run. The Score or Amount of Work is a composition of Actions/minute(Mail server), New Orders/minute(Java server), Access/minute(web server), Commits/minute(Database), MB/sec(file server).

Thus, among systems with the same number of tiles, the system with the higher score is the system that is capable of producing the greater amount of work. For detailed description of VMmark, tiles and score definition, please refer to http://www.vmware.com/products/vmmark/features.html.

See Also

Disclosure Statement

VMware(R) VMmark(tm) is a product of VMware, Inc. VMmark utilizes SPECjbb(r)2005 and SPECweb(r)2005, which are available from the Standard Performance Evaluation Corporation (SPEC). Results from http://www.vmware.com/products/vmmark/ as of September 29, 2009.
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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