• DocumentCode
    1805318
  • Title

    Efficient Parallel Queuing System Simulation

  • Author

    Kiesling, Tobias ; Krieger, Thomas

  • Author_Institution
    Fakultat fur Informatik, Univ. der Bundeswehr Munchen, Neubiberg
  • fYear
    2006
  • fDate
    3-6 Dec. 2006
  • Firstpage
    1020
  • Lastpage
    1027
  • Abstract
    Queuing systems are an important building block for performance evaluation in various application areas, due to their powerful, yet simple nature. Although it is often possible to perform an analytical evaluation of a queuing model, simulation of queuing systems remains an important technique in the context of performance evaluation. In order to speed up queuing simulation executions, parallel and distributed simulation techniques have been devised. Unfortunately, existing methods are complex in nature, leading to increased development costs. Moreover, most of these approaches have been developed for tightly coupled parallel processing machines. Consequently, they are not suited for a distributed computing environment. This paper investigates an alternative approach based on the technique of time-parallel simulation with fix-up computations. The salient features of this novel approach are its simplicity and its suitability for execution in a distributed environment
  • Keywords
    digital simulation; parallel processing; performance evaluation; queueing theory; coupled parallel processing machines; parallel queuing system simulation; time-parallel simulation; Analytical models; Computational modeling; Context modeling; Costs; Distributed computing; Parallel processing; Performance analysis; Performance evaluation; Power system modeling; Queueing analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2006. WSC 06. Proceedings of the Winter
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    1-4244-0500-9
  • Electronic_ISBN
    1-4244-0501-7
  • Type

    conf

  • DOI
    10.1109/WSC.2006.323190
  • Filename
    4117714