• DocumentCode
    2440850
  • Title

    Research of Grid Resource Discovery Method Based on Adjacency List and Ant Colony Algorithm

  • Author

    Zhu, Youchan ; Xu, Weiqiang ; Shen, Pengfei

  • Author_Institution
    Network Manage. Center, North China Electr. Power Univ., Baoding, China
  • Volume
    1
  • fYear
    2009
  • fDate
    26-27 Aug. 2009
  • Firstpage
    201
  • Lastpage
    205
  • Abstract
    Grid is commonly considered as next generation network. Resource discovery is the key requirements in large heterogeneous grid environments, and an effective and efficient resource discovery mechanism is crucial. Base on centering resource discovery and distributed resource discovery methods, a hierarchical resource discovery method is proposed. Agent technology is used in every layer. Resource adjacency list as a kind of centering resource discovery method is used in the supernode of every VO. But in the middle of the supernodes of P2P layer, we use ant colony algorithm as distributed resource discovery method.
  • Keywords
    distributed algorithms; grid computing; groupware; multi-agent systems; optimisation; peer-to-peer computing; resource allocation; P2P layer supernode; VO; agent technology; ant colony optimization algorithm; centering resource discovery method; distributed resource discovery mechanism; grid resource discovery method; hierarchical resource discovery method; large heterogeneous grid environment; next-generation network; resource adjacency list; virtual organization; Conference management; Energy management; Environmental management; Human resource management; Intelligent networks; Intelligent systems; Internet; Power system management; Power systems; Resource management; Adjacency Lis; Ant Colony Algrithm; grid; resource discovery; virtual organization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
  • Conference_Location
    Hangzhou, Zhejiang
  • Print_ISBN
    978-0-7695-3752-8
  • Type

    conf

  • DOI
    10.1109/IHMSC.2009.58
  • Filename
    5336088