• DocumentCode
    3496297
  • Title

    A new rough set based approach for optimized detection of available resources in Grid computing

  • Author

    Bouyer, Asgarali ; Noor, Muzzamil ; Abdullah, A.H.

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Syst., Univ. Technol. of Malaysia, Skudai, Malaysia
  • fYear
    2009
  • fDate
    15-16 Aug. 2009
  • Firstpage
    77
  • Lastpage
    82
  • Abstract
    Since the grid is a dynamic environment, the prediction and detection of available resources in near future is important for resource scheduling. Economic-based grid management has been viewed as a feasible approach to carry out fair, efficient and reliable scheduling. One key issue in economic-based grid strategy is to inform about available resources. In this paper, we present a novel predictable method to specify available resource in economic-based grid. This method use a rough set analysis by scheduler to divide resources in groups and then grant a priority to each group based on cost price and efficiency of nodes. The result show that our proposed method has an acceptable performance and it try to use cheaper and suitable resources for each job to decrease cost price of computation.
  • Keywords
    grid computing; optimisation; resource allocation; rough set theory; scheduling; economic-based grid management; grid computing; optimized detection; resource scheduling; rough set based approach; Availability; Computational efficiency; Costs; Dynamic scheduling; Economic forecasting; Environmental economics; Geographic Information Systems; Grid computing; Processor scheduling; Resource management; Rough set; availability; component; economic-base grid; resource scheduling; scheduler;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies, 2009. ICICT '09. International Conference on
  • Conference_Location
    Karachi
  • Print_ISBN
    978-1-4244-4608-7
  • Electronic_ISBN
    978-1-4244-4609-4
  • Type

    conf

  • DOI
    10.1109/ICICT.2009.5267209
  • Filename
    5267209