• DocumentCode
    2627324
  • Title

    Resource discovery using rough set in grid environment

  • Author

    Ataollahi, Iraj ; Analoui, Morteza

  • Author_Institution
    Comput. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2009
  • fDate
    20-21 Oct. 2009
  • Firstpage
    341
  • Lastpage
    348
  • Abstract
    Grid environment is being a service oriented infrastructure in which many heterogeneous resources participate for providing the high performance computation. On of bug issue in the grid environment is the vagueness and uncertainty between advertised resources and requested resources. In this work we propose a solution for the vagueness and uncertainty problems based on rough set theory. Here you can see how the rough set theory is developed to deal with the problem. We also report the result of the solution obtained from the simulation in Gridsim simulator. The comparison has been made between the proposed method and UDDI and OWL-S combined method. Rough set theory shows much better precision for the cases with vagueness and uncertainty.
  • Keywords
    grid computing; rough set theory; software architecture; Gridsim simulator; OWL-S combined method; UDDI; grid environment; resource discovery; rough set theory; service oriented infrastructure; uncertainty problems; Encoding; Grid computing; High performance computing; Microstrip; OWL; Ontologies; Set theory; Uncertainty; Web services; XML; OWL-S; Ontology; Resource Discovery; Rough Set; UDDI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Conference, 2009. CSICC 2009. 14th International CSI
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4244-4261-4
  • Electronic_ISBN
    978-1-4244-4262-1
  • Type

    conf

  • DOI
    10.1109/CSICC.2009.5349510
  • Filename
    5349510