• DocumentCode
    2820968
  • Title

    Exploiting model independence for parallel PCS network simulation

  • Author

    Boukerche, Azzedine ; Das, Sajal K. ; Fabbri, Alessandro ; Yildiz, Oktay

  • Author_Institution
    Dept. of Comput. Sci., North Texas Univ., Denton, TX, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    166
  • Lastpage
    173
  • Abstract
    We present a parallel simulator (SWiMNet) for PCS networks using a combination of optimistic and conservative paradigms. The proposed methodology exploits event precomputation permitted by model independence within the PCS components. The low percentage of blocked calls is exploited in the channel allocation simulation of precomputed events by means of an optimistic approach. Experiments were conducted with various call arrival rates and mobile host densities on a cluster of Pentium workstations. Performance results indicate that the SWiMNet achieves a speedup of 6 employing 8 workstations, and a speedup of 12 with 16 workstations
  • Keywords
    channel allocation; digital simulation; parallel processing; personal communication networks; software performance evaluation; telecommunication computing; workstation clusters; Pentium workstation cluster; SWiMNet; blocked calls; call arrival rates; channel allocation simulation; conservative simulation; event precomputation; experiments; mobile host densities; model independence; optimistic simulation; parallel PCS network simulation; parallel simulator; personal communication services; Computational modeling; Computer networks; Computer simulation; Concurrent computing; Discrete event simulation; Frequency conversion; Object oriented modeling; Personal communication networks; Wireless networks; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Simulation, 1999. Proceedings. Thirteenth Workshop on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-7695-0155-9
  • Type

    conf

  • DOI
    10.1109/PADS.1999.766173
  • Filename
    766173