• DocumentCode
    3238479
  • Title

    RW-OGS: An optimized randomwalk protocol for resource discovery in large scale dynamic Grids

  • Author

    Jeanvoine, Emmanuel ; Morin, Christine

  • Author_Institution
    INRIA Saclay, Gif-sur-Yvette
  • fYear
    2008
  • fDate
    Sept. 29 2008-Oct. 1 2008
  • Firstpage
    168
  • Lastpage
    175
  • Abstract
    The information service is an important component of any Grid middleware as it helps users to find resources suitable for the execution of their applications. Traditional approaches based on data bases that have been designed for Grids of moderate size do not fit the requirements of wide-area large scale Grids composed of dozens of thousands highly dynamic nodes. In this paper, we propose a fully distributed information service relying on an unstructured overlay network. The core of this information service is the RW-OGS cached-based optimized random walk protocol. We describe experimental results showing that RW-OGS outperforms state of the art protocols in terms of bandwidth consumption and resource discovery latency. Moreover, RW-OGS is optimized to increase the probability to discover nodes with free resources and to enable fast discovery of rare resources. The RW-OGS protocol has been implemented as part of the Vigne middleware aiming at easing the use of large scale desktop Grids for executing a wide range of distributed applications.
  • Keywords
    grid computing; middleware; protocols; random processes; Grid middleware; RW-OGS; Vigne middleware; large scale dynamic grids; optimized random walk protocol; resource discovery; Bandwidth; Databases; Delay; Grid computing; Kernel; Large-scale systems; Linux; Middleware; Operating systems; Protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grid Computing, 2008 9th IEEE/ACM International Conference on
  • Conference_Location
    Tsukuba
  • Print_ISBN
    978-1-4244-2578-5
  • Electronic_ISBN
    978-1-4244-2579-2
  • Type

    conf

  • DOI
    10.1109/GRID.2008.4662796
  • Filename
    4662796