• DocumentCode
    2368388
  • Title

    Stochastic modeling of multiprocessor reliability

  • Author

    Papadopoulos, Constantinos V.

  • Author_Institution
    Dept. of Comput. Sci., Piraeus Univ., Greece
  • fYear
    1994
  • fDate
    2-6 May 1994
  • Firstpage
    620
  • Lastpage
    630
  • Abstract
    Colored Petri nets have been shown to create greatly simplified models that have many fewer places and transitions and can be applied to families of systems with minimal changes. The paper presents a modeling tool that uses a form of colored stochastic Petri nets to model the performance of fault tolerant multicomputers as resources fail. The model can be viewed as having tokens that collect to form compound tokens in a manner somewhat analogous to the formation of molecules from atoms. Therefore we call it the Polyvalent Stochastic Petri Net (PSPN) modeling system. Using this approach simple and relatively similar models can be used for systems of varying sizes and configuration. Complex actions such as backtracking and routing around failed links in a communications system can be expressed in the transitions. Failed parts are modeled by simply removing a resource token from a place
  • Keywords
    Petri nets; fault tolerant computing; graph colouring; parallel machines; reliability; stochastic processes; Polyvalent Stochastic Petri Net; backtracking; colored stochastic Petri nets; communications system; compound tokens; failed parts; fault tolerant multicomputers; modeling tool; multiprocessor reliability; routing around; stochastic modeling; Computer errors; Computer science; Degradation; Distributed computing; Educational institutions; Fault tolerant systems; Petri nets; Routing; Stochastic processes; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Massively Parallel Computing Systems, 1994., Proceedings of the First International Conference on
  • Conference_Location
    Ischia
  • Print_ISBN
    0-8186-6322-7
  • Type

    conf

  • DOI
    10.1109/MPCS.1994.367025
  • Filename
    367025