• DocumentCode
    1816550
  • Title

    Measuring the Effectiveness of Self-Healing Autonomic Systems

  • Author

    Brown, Aaron B. ; Redlin, Charlie

  • Author_Institution
    IBM TJ. Watson Res. Center, Hawthorne, NY
  • fYear
    2005
  • fDate
    13-16 June 2005
  • Firstpage
    328
  • Lastpage
    329
  • Abstract
    Benchmarks are a central force in engineering progress, providing the objective ability to quantify improvement and justify design decisions. In previous work, we brought together the concepts of benchmarks and autonomic computing, describing a vision of benchmarks that quantitatively evaluate a computing system along the four core autonomic dimensions of self-healing, self-configuration, self-optimization, and self-protection. In this paper, we describe our experience with implementing a practical benchmark for the self-healing dimension of autonomic capability, which goes beyond simple measures of fault tolerance by including a measure of autonomic maturity. Our benchmark is capable of quantifying the autonomic self-healing capability of complex, production-scale enterprise solutions based on J2EE middleware (and indeed is currently being used for such purposes)
  • Keywords
    Java; benchmark testing; middleware; security of data; software fault tolerance; J2EE middleware; autonomic maturity; benchmarking; computing system; self-healing autonomic systems; system fault tolerance; system self-configuration; system self-healing; system self-optimization; system self-protection; Benchmark testing; Computer vision; Databases; Design engineering; Laboratories; Middleware; Space technology; Steady-state; System testing; Trademarks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomic Computing, 2005. ICAC 2005. Proceedings. Second International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7965-2276-9
  • Type

    conf

  • DOI
    10.1109/ICAC.2005.39
  • Filename
    1498082