• DocumentCode
    3254665
  • Title

    Knowledge-based distributed simulation generator

  • Author

    Wong, Yung-Chang ; Hwang, Shu-Yuen

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    1992
  • fDate
    6-9 Apr 1992
  • Firstpage
    156
  • Lastpage
    161
  • Abstract
    The way to speed up the entire process of simulation can be considered from two points of view: the machine side and the human side. The former refers to the use of efficient programming techniques to speed up the simulation program. Specifically, parallel or distributed simulation is the trend, due to the advance of computer hardware technology. The latter refers to the use of intelligent method to automate the whole process of simulation model construction. This paper presents the STNMG system, which is a knowledge-based automatic simulation model generator for public switched telephone networks. Through dialog with its user, STNMG can acquire the necessary information about the simulated system and save it as an internal specification. A time warp optimistic simulator for the simulated system specified by user is then constructed based on this internal specification. The prototype of STNMG is proposed
  • Keywords
    application generators; digital simulation; distributed processing; knowledge based systems; switched networks; telecommunications computing; telephone networks; STNMG system; distributed simulation generator; internal specification; knowledge-based automatic simulation model generator; programming techniques; public switched telephone networks; speedup; time warp optimistic simulator; user dialogue; Computational modeling; Computer simulation; Concurrent computing; Distributed computing; Hardware; Humans; Machine intelligence; Prototypes; Telephony; Time warp simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Symposium, 1992. Proceedings., 25th Annual
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-8186-2765-4
  • Type

    conf

  • DOI
    10.1109/SIMSYM.1992.227566
  • Filename
    227566