• DocumentCode
    3025581
  • Title

    Optimized dynamic grid-based DDM protocol for large-scale distributed simulation systems

  • Author

    Boukerche, Azzedine ; Lu, Kaiyuan

  • Author_Institution
    PARADISE Res. Lab., Ottawa Univ., Ont., Canada
  • fYear
    2005
  • fDate
    4-8 April 2005
  • Abstract
    Data distribution management (DDM) is one of the six services provided by HLA/RTI as complementarities of declaration/interests management to provide a flexible and extensive mechanism for further throttling the data placed on the network and delivered to federates based on simulated entities´ interests of data. DDM is of essential importance especially for large scale distributed simulations. In the past a few years, two main types of DDM protocols have been developed, named region-based methods and grid-based methods. However, all of these techniques have their obvious drawbacks, which affect their deployment in most applications that require high performance and low overhead. In our previous work, we have proposed a dynamic grid-based DDM scheme that shows a great potential when compared to both region-based and grid-based approaches. In this paper, we wish to improve our previous scheme, which we refer to as optimized dynamic grid-based DDM, to further reduce irrelevant data that might be received by simulated entities.
  • Keywords
    digital simulation; distributed databases; grid computing; large-scale systems; optimisation; HLA; RTI; data distribution management; grid-based DDM protocol; interest management; large scale distributed simulations; region-based methods; Business; Computational modeling; Distributed decision making; Laboratories; Large-scale systems; Middleware; Project management; Protocols; Standards development; Technological innovation; DDM; Distributed Interactive Simulation; HLA; Interest Management; RTI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
  • Print_ISBN
    0-7695-2312-9
  • Type

    conf

  • DOI
    10.1109/IPDPS.2005.315
  • Filename
    1420222