• DocumentCode
    2742482
  • Title

    A New Grid Computation-Based Min-Min Algorithm

  • Author

    Yu, Xiaogao ; Yu, Xiaopeng

  • Author_Institution
    Sch. of Inf. Manage., HuBei Univ. of Econ., Wuhan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    43
  • Lastpage
    45
  • Abstract
    The traditional min-min algorithm is analyzed carefully based on the research of the existing mission scheduling algorithms of grid computation, and it is pointed out that the flaw of load unbalance exists in the min-min algorithm. An improved segmental method-based algorithm is introduced on the ground of min-min algorithm, on the contrary, whose flaw is solved efficiently by the improved algorithm inversely. The SF-min algorithm is introduced at the same time. At last, the introduced algorithm is simulated using Mathlab toolbox. The result proves the reasonableness of the improved algorithm and the algorithm is more efficacious and precise than current algorithms.
  • Keywords
    grid computing; minimisation; scheduling; Mathlab toolbox; SF-min algorithm; grid computation; min-min algorithm; mission scheduling algorithms; segmental method-based algorithm; Algorithm design and analysis; Computational modeling; Distributed computing; Environmental economics; Fuzzy systems; Grid computing; Information analysis; Information management; Processor scheduling; Scheduling algorithm; Min-Min algorithm; grid computation; segmental Method; task;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.81
  • Filename
    5358675