• DocumentCode
    2990569
  • Title

    A two-phase heuristic for the scheduling of independent tasks on computational grids

  • Author

    Pinel, Frederic ; Pecero, Johnatan ; Bouvry, Pascal ; Khan, Samee U.

  • Author_Institution
    Comput. Sci. & Commun., Univ. of Luxembourg, Luxembourg, Luxembourg
  • fYear
    2011
  • fDate
    4-8 July 2011
  • Firstpage
    471
  • Lastpage
    477
  • Abstract
    The sensitivity analysis of a cellular genetic algorithm with local search is used to design a new and simpler heuristic for the problem of scheduling independent tasks. The proposed heuristic improves the previously known Min-Min heuristic. Moreover, it provides schedules of similar quality to the reference cellular genetic algorithm in a significantly reduced runtime. This heuristic is evaluated across twelve different classes of scheduling instances.
  • Keywords
    genetic algorithms; grid computing; scheduling; search problems; sensitivity analysis; cellular genetic algorithm; computational grids; independent task scheduling; local search; sensitivity analysis; two-phase heuristic; Algorithm design and analysis; Genetic algorithms; Processor scheduling; Runtime; Schedules; Scheduling; Sensitivity analysis; Scheduling; energy-efficient; heuristic; makespan; sensitivity analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Simulation (HPCS), 2011 International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-61284-380-3
  • Type

    conf

  • DOI
    10.1109/HPCSim.2011.5999862
  • Filename
    5999862