• DocumentCode
    2432480
  • Title

    An efficient grid resource discovery mechanism based on tree structure

  • Author

    Khanli, Leyli Mohammad ; Niari, Ali Kazemi ; Kargar, Saeed

  • Author_Institution
    CS Dept., Univ. of Tabriz, Tabriz, Iran
  • fYear
    2011
  • fDate
    15-16 June 2011
  • Firstpage
    48
  • Lastpage
    53
  • Abstract
    The computational systems of the grid make a way in which different heterogeneous resources distributed geographically are connected in a virtual processing environment. The resource discovery is so critical in such environments. In recent years, authors have proposed different methods in the resource discovery in the grid. Recent methods have tried to decrease the discovery and update costs. Some were successful in lowering the discovery cost and some the updating cost. In this paper, any nodes of the grid take a format as a catalogue. In this form to any attribute of the resource allocated a unique code. These codes are transferred among nodes for the updating and discovery that have low volumes. Contrary to the previous methods, here is presented a method which is of low-cost in terms of both the discovery and the updating. The results show that the traffic and number of visited nodes in our resource discovery algorithm is less than other algorithms.
  • Keywords
    grid computing; resource allocation; trees (mathematics); grid resource discovery mechanism; resource allocation; tree structure; virtual processing environment; Computers; Indexes; Organizations; Peer to peer computing; Semantics; Servers; Vegetation; Grid; Resource discovery; Tree structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering (CSSE), 2011 CSI International Symposium on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-61284-206-6
  • Type

    conf

  • DOI
    10.1109/CSICSSE.2011.5963981
  • Filename
    5963981