• DocumentCode
    1147797
  • Title

    Ultrahigh Reliability Prediction for Fault-Tolerant Computer Systems

  • Author

    Geist, Robert M. ; Trivedi, Kishor S.

  • Author_Institution
    Department of Computer Science, Duke University
  • Issue
    12
  • fYear
    1983
  • Firstpage
    1118
  • Lastpage
    1127
  • Abstract
    A review and a critical evaluation of a representative class of state-of-the-art models for ultrahigh reliability prediction is presented. This evaluation naturally leads us to a new model for ultrahigh reliability prediction now under development. The new model combines the flexibility and accuracy of simulation with the speed of analytic models.
  • Keywords
    Analytic modeling; Markov process; fault coverage; fault-tolerant computers; hybrid models; reliability modeling; sensitivity analysis; simulation models; Analytical models; Computational modeling; Fault tolerance; Fault tolerant systems; Markov processes; Nuclear magnetic resonance; Predictive models; Random variables; Redundancy; Voting; Analytic modeling; Markov process; fault coverage; fault-tolerant computers; hybrid models; reliability modeling; sensitivity analysis; simulation models;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/TC.1983.1676172
  • Filename
    1676172