• DocumentCode
    1564213
  • Title

    A C/S and P2P hybrid resource discovery framework in grid environments

  • Author

    Gong, Yili ; Li, Wei ; Sun, Yuzhong ; Xu, Zhiwei

  • Author_Institution
    Chinese Acad. of Sci., Beijing, China
  • fYear
    2005
  • Firstpage
    261
  • Lastpage
    268
  • Abstract
    Resource discovery is crucial to efficient deployment of a grid system whose dynamic, heterogeneous characteristics make it difficult. In this paper, Vega Infrastructure for Resource Discovery (VIRD) is developed, then augmented with new features (i.e., some new algorithms) to build a C/S (client/server) and P2P (peer-to-peer) hybrid resource discovery framework. The three layered architecture of the VIRD is developed to make advantage of the physical and logical topologies of the Internet to facilitate resource discovery. With our simulations and theoretical analysis, it is proved that VIRD is of good scalability with respect to the sizes of the underlying backbone. Even when the resource density is low and the max TTL (time-to-live) is small, VIRD still achieves high search success rates in a small amount of hops. Compared with flooding and random walk algorithms via the same search success rates, VIRD outperforms them in both network traffic and response time.
  • Keywords
    Internet; client-server systems; grid computing; peer-to-peer computing; resource allocation; Internet; P2P; TTL; VIRD; Vega infrastructure; client-server resource discovery; flooding algorithm; grid environment; peer-to-peer hybrid resource discovery framework; random walk algorithm; simulation; three layered architecture; time-to-live; Analytical models; Computers; Delay; Internet; Peer to peer computing; Routing; Scalability; Spine; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 2005. ICPP 2005. International Conference on
  • ISSN
    0190-3918
  • Print_ISBN
    0-7695-2380-3
  • Type

    conf

  • DOI
    10.1109/ICPP.2005.5
  • Filename
    1488622