• DocumentCode
    2250498
  • Title

    Autonomous adaptive agents for market-based resource allocation of cloud computing

  • Author

    Chen, Yee-Ming ; Yeh, Hsin-mei

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Yuan Ze Univ., Chungli, Taiwan
  • Volume
    6
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    2760
  • Lastpage
    2764
  • Abstract
    The application of market mechanisms for the resource allocation of cloud computing services is a demanding task, which requires bridging economic and associated software agent technical challenges. Dynamic changes in the availability of resources over time makes the treatment more complicated. Here we employ an allocation mechanism and pricing mechanism as a market-based model to allocate resources in a cloud computing environment. Buyer and service provider agents determine their bid and ask prices using k-pricing which sets the transaction price individually for each matched buyer-service provider pair. These mechanisms are adaptively to meet the customers/ service providers requirement and constraints set by bundled services.
  • Keywords
    Web services; pricing; resource allocation; software agents; autonomous adaptive agent; cloud computing services; k-pricing; market mechanism; market-based model; market-based resource allocation; software agent technical challenges; Biological system modeling; Cloud computing; Computational modeling; Machine learning; Pricing; Quality of service; Resource management; Bundled service; Resource allocation; Software agent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580784
  • Filename
    5580784