• DocumentCode
    3038663
  • Title

    Hyper-heuristic Based Resource Scheduling in Grid Environment

  • Author

    Aron, Rajni ; Chana, Inderveer ; Abraham, Ajith

  • Author_Institution
    Comput. Sci. & Eng. Dept., Thapar Univ., Patial, India
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    1075
  • Lastpage
    1080
  • Abstract
    An efficient management of the resources in Grid computing crucially depends on the efficient mapping of the jobs to resources according to the user´s requirements. Grid resources scheduling has become a challenge in the computational Grid. The mapping of the jobs to appropriate resources for execution of the application in Grid computing is an NP-Complete problem. In this paper, hyper-heuristic based resource scheduling algorithm is designed to effectively schedule the jobs on available resources in a Grid environment. The performance of the proposed algorithm is evaluated using the GridSim toolkit. Empirical results illustrate that our algorithm outperformed the existing algorithm by minimizing cost and make span of user´s submitted applications.
  • Keywords
    computational complexity; cost reduction; grid computing; resource allocation; scheduling; GridSim toolkit; NP-complete problem; computational grid; cost minimization; grid computing; grid environment; grid resources scheduling; hyperheuristic based resource scheduling; job scheduling; make span minimization; resource management; Algorithm design and analysis; Computational modeling; Grid computing; Heuristic algorithms; Scheduling; Scheduling algorithms; Grid Computing; Heuristic Methods; Resource Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.187
  • Filename
    6721940