• DocumentCode
    3267215
  • Title

    A Strategy for Resource Allocation and Pricing in Grid Environment Based on Economic Model

  • Author

    Lu, Bin ; Ma, Jian-Jing

  • Author_Institution
    Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding, China
  • Volume
    1
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    221
  • Lastpage
    224
  • Abstract
    The market mechanism based on price is imported into the traditional grid architecture based on hierarchical model, and a grid architecture based on economic model is constructed. Besides the time and cost, grid users also concern about the use value of Grid resources. Accordingly, not only a utility function of grid resource but also a utility function of grid user having the Cobb-Douglas form is constructed. And the latter can express different preferences and targets of grid users. The Lagrange method is utilized to solve the optimization problem of utility function. In addition, a strategy for resource allocation and pricing based on utility function optimization is proposed. Finally, performance and efficiency of grid tasks and resources mapping algorithm proposed in this paper is analyzed through the simulation experiment.
  • Keywords
    grid computing; optimisation; pricing; resource allocation; Cobb-Douglas form; Lagrange method; economic model; grid architecture; grid user; pricing; resource allocation; resources mapping algorithm; utility function optimization; Algorithm design and analysis; Computer architecture; Computer science; Electronic mail; Environmental economics; Grid computing; Power generation economics; Power systems; Pricing; Resource management; Grid computing; dynamic price adjustment; economic model; resource allocation; utility function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.135
  • Filename
    5231157