• DocumentCode
    424272
  • Title

    A self-adaptive model based on multi-objective programming for grid resource management

  • Author

    Guo, Quan ; Wang, Xi-Cheng ; Li, Chun-Lian

  • Author_Institution
    Sch. of Electr. & Inf., Dalian Univ. of Technol., China
  • Volume
    2
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    773
  • Abstract
    In order to address complex resource management issues in grid environment, we provide a self-adaptive model, which is based on multi-objective programming. The model make use of virtues of market mechanism efficiently, meanwhile, the shortcomings of market mechanism, such as too frequent fluctuations of price, are avoided by means of the method of changing prices after trading. Through using atom allocation of resource group, the cooperating allocation is improved, and some problems, such as deadlock of resource and inefficiently occupying resource, are solved. More importantly, efficiently using various resources in grid system is guaranteed through importing multi-objective programming mechanism in our resource management solution. A frame of resource allocation is given at first, then, the mathematical model of the method is constructed. An algorithm is proposed to get the approximate solution in this paper.
  • Keywords
    grid computing; mathematical programming; resource allocation; self-adjusting systems; atom allocation; complex resource management issues; cooperating allocation; grid resource management; market mechanism; mathematical model; multiobjective programming; self-adaptive model; Concrete; Electrical equipment industry; Environmental economics; Environmental management; Fluctuations; Grid computing; Linux; Mathematical model; Resource management; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1382289
  • Filename
    1382289