• DocumentCode
    2260079
  • Title

    Statistical methodology for Web-based simulation

  • Author

    Biles, William E. ; Kleijnen, Jack P C

  • Author_Institution
    Dept. of Ind. Eng., Louisville Univ., KY, USA
  • fYear
    2003
  • fDate
    23-25 Oct. 2003
  • Firstpage
    147
  • Lastpage
    149
  • Abstract
    This paper describes a procedure for assigning simulation trials to a set of parallel processors for the purpose of conducting a simulation study involving a complex simulation model in near real time. Unlike distributed simulation, where a complex simulation model is decomposed and its parts run in a parallel environment, the parallel replications approach discussed here involves running simulation replications to completion for the entire model. The unique element here is that the workload involved in running the simulation study is too time consuming to execute on a single workstation, so that the simulation analyst must utilize computer resources available through the Web. New statistical methodology is needed for running a complex simulation study in a Web-based, parallel replications environment.
  • Keywords
    Internet; digital simulation; parallel processing; statistical analysis; Web-based simulation; World Wide Web; near real-time systems; parallel processors; parallel replications; simulation management; statistical methods; Analytical models; Computational modeling; Computer simulation; Industrial engineering; Information systems; Lifting equipment; Predictive models; Real time systems; Statistical analysis; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Simulation and Real-Time Applications, 2003. Proceedings. Seventh IEEE International Symposium on
  • ISSN
    1530-1990
  • Print_ISBN
    0-7695-2036-7
  • Type

    conf

  • DOI
    10.1109/DISRTA.2003.1243008
  • Filename
    1243008