• DocumentCode
    1000110
  • Title

    An approximation approach of the standard clock method for general discrete-event simulation

  • Author

    Chen, Chun-Hung ; Ho, Yu-chi

  • Author_Institution
    Dept. of Syst. Eng., Pennsylvania Univ., Philadelphia, PA, USA
  • Volume
    3
  • Issue
    3
  • fYear
    1995
  • fDate
    9/1/1995 12:00:00 AM
  • Firstpage
    309
  • Lastpage
    317
  • Abstract
    The standard clock (SC) method is an efficient approach for discrete-event simulation. Its basic ideas are quite different from traditional approaches. SC has neither an event list nor event lifetimes, its applicability is limited, however, to exponential distributions and a class of nonexponential distributions. In this paper we provide an efficient approach to general distributions. Shifted exponential and hyperexponential distributions are used as second-order approximations to simulation input distributions. Numerical testing demonstrates that they serve as good approximations and preserve the advantages of SC. In addition, an nth order method is presented that provides arbitrarily good approximations. The idea of event insertion extends SC use to further applications and improves simulation efficiency on SIMD machines
  • Keywords
    approximation theory; discrete event simulation; exponential distribution; parallel processing; SIMD machines; approximation; exponential distributions; general discrete-event simulation; hyperexponential distributions; nonexponential distributions; second-order approximations; shifted exponential distributions; simulation efficiency; standard clock method; Clocks; Communication networks; Communication standards; Discrete event simulation; Electronic switching systems; Exponential distribution; Modeling; Telecommunication traffic; Testing; Traffic control;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/87.406978
  • Filename
    406978