• DocumentCode
    3431919
  • Title

    Performance evaluation of a clustered adaptive-risk approach for parallel simulation

  • Author

    Soliman, Hussam M. ; Elmaghraby, Adel S. ; Alfantookh, Abdulkader

  • Author_Institution
    Coll. of Comput. & Inf. Sci., King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    1997
  • fDate
    1-3 Jul 1997
  • Firstpage
    614
  • Lastpage
    618
  • Abstract
    The aggressive adaptive-risk (AAR) approach is an efficient clustered and adaptive approach for parallel simulation which provides optimistic logical processes the ability to adjust their degree of risk at run time, based on observed behavior. The AAR approach is implemented on a network of workstations. Performance results using large synthetic loads are reported and compared to those obtained for the time warp optimistic technique
  • Keywords
    digital simulation; local area networks; parallel processing; software performance evaluation; workstations; clustered adaptive-risk approach; large synthetic loads; observed behavior; optimistic logical processes; parallel simulation; performance evaluation; run time risk adjustment; time warp optimistic technique; workstation network; Atherosclerosis; Clocks; Clustering algorithms; Computational modeling; Computer simulation; Concurrent computing; Discrete event simulation; Educational institutions; Petroleum; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications, 1997. Proceedings., Second IEEE Symposium on
  • Conference_Location
    Alexandria
  • Print_ISBN
    0-8186-7852-6
  • Type

    conf

  • DOI
    10.1109/ISCC.1997.616074
  • Filename
    616074
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3431919