Performability Analysis of Storage Systems in Practice: Methodology and Tools

  • Hairong Sun
  • Tina Tyan
  • Steven Johnson
  • Richard Elling
  • Nisha Talagala
  • Robert B. Wood
Conference paper

DOI: 10.1007/11955498_5

Volume 4328 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Sun H., Tyan T., Johnson S., Elling R., Talagala N., Wood R.B. (2006) Performability Analysis of Storage Systems in Practice: Methodology and Tools. In: Penkler D., Reitenspiess M., Tam F. (eds) Service Availability. ISAS 2006. Lecture Notes in Computer Science, vol 4328. Springer, Berlin, Heidelberg

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 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hairong Sun
    • 1
  • Tina Tyan
    • 1
  • Steven Johnson
    • 1
  • Richard Elling
    • 1
  • Nisha Talagala
    • 1
  • Robert B. Wood
    • 1
  1. 1.Storage GroupSun MicrosystemsUSA