• DocumentCode
    3110018
  • Title

    A QoS-Constrained Resource Allocation Game in Federated Cloud

  • Author

    Xin Xu ; Huiqun Yu ; Xinyu Cong

  • Author_Institution
    Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
  • fYear
    2013
  • fDate
    3-5 July 2013
  • Firstpage
    268
  • Lastpage
    275
  • Abstract
    Federated cloud emerges recently to overcome resource limitation of IaaS providers by federating different cloud resources which belong to separate organizations. The main objective of IaaS providers is to obtain maximal profits and guarantee QoS requirements of customers at the same time. In this paper, we propose a cooperative game algorithm that helps the resource allocation decision-making process with a flexible resource amount of the total federation. This algorithm also takes the QoS constraints into account and provides two different approaches for cost-sensitive or time-sensitive customers. Simulation results show that the proposed algorithm improves various QoS requirements and increases the satisfaction level of customer´s requests.
  • Keywords
    cloud computing; customer satisfaction; game theory; quality of service; resource allocation; IaaS providers; QoS requirement guarantee; QoS-constrained resource allocation game; cloud resource federation; cooperative game algorithm; cost-sensitive customers; customer request; customer satisfaction; federated cloud; resource allocation decision-making process; resource limitation; time-sensitive customers; Cloud computing; Games; Outsourcing; Quality of service; Registers; Resource management; Time factors; Cooperative Game; Federated Cloud; QoS; Resource Allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2013 Seventh International Conference on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/IMIS.2013.53
  • Filename
    6603684