By relling on Oct 04, 2007
I'll be blogging about performability analysis over the next few weeks. Last year Hairong Sun, Tina Tyan, Steven Johnson, Nisha Talagala, Bob Wood, and I published a paper on how we do performability analysis at Sun. It is titled Performability Analysis of Storage Systems in Practice: Methodology and Tools, and is available online at SpringerLink. Here is the abstract:
This paper presents a methodology and tools used for performability analysis of storage systems in Sun Microsystems. A Markov modeling tool is used to evaluate the probabilities of normal and fault states in the storage system, based on field reliability data collected from customer sites. Fault injection tests are conducted to measure the performance of the storage system in various degraded states with a performance benchmark developed within Sun Microsystems. A graphic metric is introduced for performability assessment and comparison. An example is used throughout the paper to illustrate the methodology and process.
I'm giving a presentation on performability at Sun's Customer Engineering Conference next week, so if you're attending stop by and visit.