• DocumentCode
    477807
  • Title

    Grid Resource Organization and Discovery Based on Hyper Topology Space

  • Author

    Lu, Bin ; Chen, Juan

  • Author_Institution
    Dept. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding
  • Volume
    2
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    462
  • Lastpage
    466
  • Abstract
    Resource management is one of the basic and key aspects in grid computing, especially in resource organization and discovery, which are very important for good sharing and using of Grid resources. This paper reviews the mechanism and architecture of Grid resource management model from hyper topology space, and researches how to describe resources, abstract resources, provide unified system images and discovering resources. And then a formal model of Grid resources with three layers, primitive resource layer, aggregating resource layer and service resource layer, is presented. Each layer has different forms and topology structures. Upper layer can be formed from lower one by the proposed method of aggregating class reactions. Over the organization of the model, the scheme of resource discovery is also described. Analyses show that this approach could enhance the usability, modularity, transparency and automation of Grid resource management system.
  • Keywords
    grid computing; reviews; topology; aggregating resource layer; grid computing; grid resource organization; hyper topology space; primitive resource layer; resource discovery; resource management; reviews; service resource layer; Computer architecture; Computer science; Fuzzy systems; Grid computing; Power system modeling; Power systems; Resource management; Space technology; Topology; Usability; Grid Computing; hyper topology space; resource discovery; resource organization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.330
  • Filename
    4666160