• DocumentCode
    1604487
  • Title

    HGRID: Fault Tolerant, Log2N Resource Management for Grids

  • Author

    Gallardo, Antonia ; Sanjeevan, Kana ; de Cerio, L.D.

  • Author_Institution
    Dept. d´´Arquitectura de Computadors, Univ. Politec. de Catalunya, Castelldefels
  • fYear
    2009
  • Firstpage
    511
  • Lastpage
    517
  • Abstract
    Grid resource discovery service is currently a very important focus of research. We propose a scheme that presents essential characteristics for efficient, self-configuring and fault-tolerant resource discovery and is able to handle dynamic attributes, such as memory capacity. Our approach consists of an overlay network with a hypercube topology connecting the grid nodes and a scalable, fault-tolerant, self-configuring search algorithm. By design, the algorithm improves the probability of reaching all working nodes in the system even in the presence of failures (inaccessible, crashed or heavy loaded nodes). We analyze the static resilience of the presented approach, that is to say, how well the algorithm is able to find resources without having to update the routing tables. The results show that the presented approach has a high static resilience.
  • Keywords
    fault tolerant computing; grid computing; hypercube networks; telecommunication network topology; HGRID; fault tolerant resource discovery; grid resource discovery; hypercube topology; log2N resource management; memory capacity; routing tables; self-configuring search algorithm; Computer networks; Fault tolerance; Geographic Information Systems; Grid computing; Hypercubes; Network topology; Peer to peer computing; Resilience; Resource management; Routing; fault-tolerant; grid resource discovery; hypercube overlay network; static resilience;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Services, 2009. ICNS '09. Fifth International Conference on
  • Conference_Location
    Valencia
  • Print_ISBN
    978-1-4244-3688-0
  • Electronic_ISBN
    978-0-7695-3586-9
  • Type

    conf

  • DOI
    10.1109/ICNS.2009.92
  • Filename
    4976811