• DocumentCode
    3592434
  • Title

    Uniform similarity measures in Grid resource discovery

  • Author

    Lu, Bin ; Chen, Juan

  • Author_Institution
    Dept. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding
  • Volume
    5
  • fYear
    2008
  • Firstpage
    2678
  • Lastpage
    2682
  • Abstract
    Resource discovery is one of the basic and key aspects in grid computing, which provides the suitable resources satisfying the requirement of userspsila applications. At first, this paper reviews some novel similarity measures and presents an uniform one to determine the similarity between two objects, especially two grid resources. The resource discovery of grid is just based on the proposed similarity measures. And then a formal model of grid resources with three layers is proposed for effectively and efficiently organizing and discovering all kinds of heterogeneous resources. This is helpful to reduce the cost of time and correspondence in discovering resources through describing resources, abstracting resources and providing unified system images. Thirdly, over the organization of resources, the scheme of resource discovery is also described. Finally, analyses show that this approach is more feasible than the pure distance-based ones.
  • Keywords
    grid computing; grid computing; grid resource discovery; heterogeneous resources; unified system images; uniform similarity measures; Costs; Extraterrestrial measurements; Grid computing; Information retrieval; Machine learning; Power measurement; Power systems; Taxonomy; Topology; Tree graphs; Grid computing; Hyper topology space; Resource discovery; Resource organization; Similarity measures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620861
  • Filename
    4620861