• DocumentCode
    2995484
  • Title

    A Resource Auction Based Allocation Mechanism in the Cloud Computing Environment

  • Author

    Wang, Xingwei ; Sun, Jiajia ; Huang, Min ; Wu, Chuan ; Wang, Xueyi

  • Author_Institution
    Coll. of Inf. Sci. & Technol, Northeastern Univ., Shenyang, China
  • fYear
    2012
  • fDate
    21-25 May 2012
  • Firstpage
    2111
  • Lastpage
    2115
  • Abstract
    In this paper, certain microeconomic methods are introduced to solve the problem of management and allocation of resources in the cloud environment. By adding the idea of batch matching into the reverse auction, a reverse batch matching auction mechanism is proposed. Based on the auction, the strategy of twice-punishment and the pursuit of service quality can effectively prevent the occurrence of trading fraud. Three evaluation criteria, including the market efficiency, user satisfaction and service quality, are used as the optimization objectives, and the immune evolutionary algorithm is applied to find the optimal resource allocation solution. The simulation results have shown that the proposed mechanism is both feasible and effective.
  • Keywords
    cloud computing; evolutionary computation; microeconomics; optimisation; resource allocation; cloud computing environment; cloud environment; evaluation criteria; immune evolutionary algorithm; market efficiency; microeconomic methods; optimal resource allocation solution; optimization objectives; resource auction based allocation mechanism; resource management; reverse auction; reverse batch matching auction mechanism; service quality; trading fraud; user satisfaction; Artificial intelligence; Cloud computing; Computational modeling; Educational institutions; Evolutionary computation; Optimization; Resource management; batch matching; cloud computing; immune evolutionary algorithm; reverse auction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0974-5
  • Type

    conf

  • DOI
    10.1109/IPDPSW.2012.260
  • Filename
    6270570