• DocumentCode
    3064857
  • Title

    Integrating Genetic and Ant Algorithm into P2P Grid Resource Discovery

  • Author

    Xiong, Zenggang ; Yang, Yang ; Zhang, Xuemin ; Chen, Fu ; Liu, Li

  • Author_Institution
    Univ. of Sci. & Technol. Beijing, Beijing
  • Volume
    2
  • fYear
    2007
  • fDate
    26-28 Nov. 2007
  • Firstpage
    83
  • Lastpage
    86
  • Abstract
    Grid computing and peer-to-peer computing are both hot topics at present. The convergence of the two systems is increasingly visible, and OGSA provides a framework for integrating grid and peer to peer. However, grid resource discovery is a key issue for peer-to-peer grid. In contrast with the traditional grid resource discovery algorithm, genetic ant algorithm firstly uses genetic algorithm to find the coarsest GridPeer resources quickly, then to find accurate resources through the ant algorithm. Theoretical analysis and simulations prove that genetic ant algorithm in peer-to-peer grid can improve the performance of resource discovery.
  • Keywords
    genetic algorithms; grid computing; peer-to-peer computing; GridPeer resources; ant algorithm; genetic algorithm; grid computing; peer-to-peer computing; resource discovery; Algorithm design and analysis; Analytical models; Feedback; Genetic algorithms; Grid computing; Information analysis; Peer to peer computing; Performance analysis; Query processing; Standards organizations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-0-7695-2994-1
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2007.215
  • Filename
    4457659