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Hierarchical Modeling for Reliability and Performance Measures

  • Malathi Veeraraghavan
  • Kishor Trivedi

Abstract

In this paper we model three aspects of fault-tolerant multiprocessor systems and study their influence on both performance and reliability measures in a combined way. These include concurrency, contention and fault-tolerance. Hierarchical modeling allows complex systems to be analyzed easily by splitting the overall model into layers. SHARPE is a powerful tool which allows the use of eight different model types that can be hierarchically combined to obtain a solution for some measure of the whole system. SHARPE also allows general distributions and hence instead of assuming exponentially distributed random variables, we can model more realistic cases. Examples presented here are small for ease of explanation; however, larger problems have also been solved within this framework. This paper thus lays the ground work for modeling existing systems with real data using these techniques.

Keywords

Markov Model Completion Time Hierarchical Modeling Failure Probability Server Failure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Press, New York 1988

Authors and Affiliations

  • Malathi Veeraraghavan
    • 1
  • Kishor Trivedi
    • 1
  1. 1.Duke UniversityDurhamUSA

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