Chapter

Service Availability

Volume 4328 of the series Lecture Notes in Computer Science pp 62-75

Performability Analysis of Storage Systems in Practice: Methodology and Tools

  • Hairong SunAffiliated withStorage Group, Sun Microsystems
  • , Tina TyanAffiliated withStorage Group, Sun Microsystems
  • , Steven JohnsonAffiliated withStorage Group, Sun Microsystems
  • , Richard EllingAffiliated withStorage Group, Sun Microsystems
  • , Nisha TalagalaAffiliated withStorage Group, Sun Microsystems
  • , Robert B. WoodAffiliated withStorage Group, Sun Microsystems

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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.

Keywords

Performability storage Markov model