• DocumentCode
    2838935
  • Title

    An Approach of QoS-Guaranteed Web Service Composition Based on a Win-Win Strategy

  • Author

    Li, Ying-Qiu ; Wen, Tao

  • Author_Institution
    Software Center, Northeastern Univ., Shenyang, China
  • fYear
    2012
  • fDate
    24-29 June 2012
  • Firstpage
    628
  • Lastpage
    630
  • Abstract
    In Web service composition, the benefit conflicts between the user and the service provider ask the so-called both win to be supported. To address this concern, a novel QoS-guaranteed service composition approach based on a win-win strategy is proposed in this paper. First, a QoS model based on the probability interval is built to adapt to the dynamic nature of the Internet, and a corresponding user satisfaction evaluation method is designed. Next, a mathematical model of service composition based on game theory is proposed. Finally, a Genetic Algorithm (GA) is used to search an appropriate composite service with the Pareto optimum under the Nash equilibrium on both the user utility and the service provider utility achieved or approached. Simulation results have shown that the proposed approach is feasible and effective.
  • Keywords
    Pareto optimisation; Web services; game theory; genetic algorithms; probability; quality of service; search problems; Internet; Nash equilibrium; Pareto optimisation; QoS model; QoS-guaranteed Web service composition approach; composite service search; game theory; genetic algorithm; mathematical model; probability interval; service provider; service provider utility; user satisfaction evaluation method; user utility; win-win strategy; Abstracts; Availability; Mathematical model; Quality of service; Time factors; Web services; QoS; game theory; service composition; win-win strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services (ICWS), 2012 IEEE 19th International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    978-1-4673-2131-0
  • Type

    conf

  • DOI
    10.1109/ICWS.2012.28
  • Filename
    6257930