• DocumentCode
    704149
  • Title

    Load Balance Strategies for DEVS Approximated Parallel and Distributed Discrete-Event Simulations

  • Author

    Inostrosa-Psijas, Alonso ; Gil-Costa, Veronica ; Solar, Roberto ; Marin, Mauricio

  • Author_Institution
    Univ. de Santiago, Santiago, Chile
  • fYear
    2015
  • fDate
    4-6 March 2015
  • Firstpage
    337
  • Lastpage
    340
  • Abstract
    DEVS is a formalism for modeling and analysis of discrete event systems. PDEVS is an extension of DEVS for supporting Parallel and Discrete Event Simulation (PDES). PCD++ is a simulation platform that supports parallel simulations of DEVS models, where the model component allocation in processors is not an automatic process. This can be a time consuming task requiring knowledge of communication patterns among model components. In this paper, we propose and evaluate different allocation strategies devised to improve load balance of parallel DEVS simulations. The experimentation is made on a Web search engine application whose workload is featured by dynamic and unpredictable user query bursts, and high message traffic among processors.
  • Keywords
    approximation theory; discrete event simulation; parallel processing; resource allocation; search engines; DEVS approximated distributed discrete event simulations; DEVS approximated parallel discrete event simulations; Web search engine application; automatic process; communication patterns; component allocation model; different allocation strategies; load balance; load balance strategies; message traffic; parallel DEVS simulations; parallel simulations; Clustering algorithms; Computational modeling; Discrete event simulation; Load modeling; Program processors; Protocols; Resource management; DEVS; PDES; Parallel Discrete Event Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on
  • Conference_Location
    Turku
  • ISSN
    1066-6192
  • Type

    conf

  • DOI
    10.1109/PDP.2015.13
  • Filename
    7092741