• DocumentCode
    3384990
  • Title

    Optimistic protocol analysis in a performance analyser and prediction tool

  • Author

    Teo, Peihan ; Turner, Stephen John ; Juhasz, Zoltan

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    2005
  • fDate
    1-3 June 2005
  • Firstpage
    49
  • Lastpage
    58
  • Abstract
    Parallelising sequential discrete event simulation programs is often a tedious process, with no guarantee for speedup. This paper describes a performance analyser tool developed to predict the execution performance of parallel discrete event simulation programs, using either optimistic or conservative protocols. The tool aims to provide the user with the flexibility of choosing the simulation protocol desired, and to make useful comparisons between the results obtained. The novel feature of the analyser is that it predicts the parallel execution performance based on a sequential simulation run, without the parallel implementation developed. This paper describes the structure and operation of the analyser program focusing on the analysis of the optimistic simulation protocol. As the prediction of the optimistic protocol is very different from the conservative one, its uniqueness is illustrated in this paper. The performance analyzer and prediction tool can be used to explore different protocols and parameters in order to provide faster decision making about the final implementation strategy.
  • Keywords
    decision making; discrete event simulation; parallel programming; performance evaluation; decision making; optimistic protocol; parallel discrete event simulation program; performance analyser tool; protocol analysis; Analytical models; Computational modeling; Concurrent computing; Decision making; Discrete event simulation; Information analysis; Information systems; Performance analysis; Predictive models; Protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Principles of Advanced and Distributed Simulation, 2005. PADS 2005. Workshop on
  • ISSN
    1087-4097
  • Print_ISBN
    0-7695-2383-8
  • Type

    conf

  • DOI
    10.1109/PADS.2005.17
  • Filename
    1443310