Performability analysis of storage systems in practice: methodology and tools

  • Authors:
  • Hairong Sun;Tina Tyan;Steven Johnson;Richard Elling;Nisha Talagala;Robert B. Wood

  • Affiliations:
  • Storage Group, Sun Microsystems;Storage Group, Sun Microsystems;Storage Group, Sun Microsystems;Storage Group, Sun Microsystems;Storage Group, Sun Microsystems;Storage Group, Sun Microsystems

  • Venue:
  • ISAS'06 Proceedings of the Third international conference on Service Availability
  • Year:
  • 2006

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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.