• DocumentCode
    1962837
  • Title

    An adaptive dynamic load balancing for large scale distributed and virtual simulations

  • Author

    Boukerche, Azzedine ; Zhang, Ming ; Xie, Hengheng

  • Author_Institution
    Paradise Res. Lab., Univ. of Ottawa, Ottawa, ON
  • fYear
    2009
  • fDate
    11-13 May 2009
  • Firstpage
    96
  • Lastpage
    100
  • Abstract
    Load balancing techniques have been widely used in many existing distributed system and simulation frameworks. With the rapid development of virtual simulation technologies, many researchers have been investigating on how to apply virtual simulations to the distributed environment, especially when the virtual simulations need to be expanded to large-scale. In this paper, we propose an adaptive load-balancing algorithm in a P2P based distributed virtual simulation environment. Our algorithm focuses on an efficient run-time load-balancing to adapt to the variation of users requests in the system. Compared to traditional load-balancing algorithms in virtual simulation, our approach takes a full consideration of heterogeneity of a large-scale service oriented distributed system.
  • Keywords
    digital simulation; peer-to-peer computing; resource allocation; P2P environment; adaptive dynamic load balancing; large scale distributed system; virtual simulation; Bandwidth; Computational modeling; Distributed computing; Heuristic algorithms; Large-scale systems; Load management; Peer to peer computing; Runtime; Service oriented architecture; Virtual environment; adaptive; load balancing; virtual simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Environments, Human-Computer Interfaces and Measurements Systems, 2009. VECIMS '09. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1944-9410
  • Print_ISBN
    978-1-4244-3808-2
  • Electronic_ISBN
    1944-9410
  • Type

    conf

  • DOI
    10.1109/VECIMS.2009.5068873
  • Filename
    5068873