• DocumentCode
    2374103
  • Title

    An approach to agent-coalition-based Automatic Web Service Composition

  • Author

    Zhong, Ye ; Li, Wenfeng ; Wang, Xun ; Fan, Jia

  • Author_Institution
    Coll. of Logistics Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    37
  • Lastpage
    42
  • Abstract
    The existing methods of Web Service Composition (WSC) seldom consider the initiative and dynamic adaptability of Web Service (WS), which cannot make WS perceive the change of users´ requirements in the changeable network environment. The result leads to the failure of Automatic Web Service Composition (AWSC). Meanwhile, the quantity of WS is so large in the existing network environment that the result of the AWSC does not meet users´ requirements. Therefore, to improve the success rate of AWSC and solve the optimization of WS, on the basis of establishing the model of AWSC guided by the users´ demand, this paper puts forward an optimal model of WSC based on particle swarm optimization (PSO) algorithm with Quality of Service (QoS) constraints, then illustrates the feasibility of the model by simulation results.
  • Keywords
    Web services; multi-agent systems; particle swarm optimisation; quality of service; service-oriented architecture; PSO algorithm; QoS constraints; WS optimization; WSC; WSC seldom; agent-coalition-based automatic Web service composition; automatic Web service composition; changeable network environment; network environment; particle swarm optimization algorithm; quality of service constraints; user requirements; users demand; Reliability; Wireless sensor networks; Agent Coalition; Automatic Web Service Composition; Particle Swarm Optimization Algorithm; Quality of Service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4673-1211-0
  • Type

    conf

  • DOI
    10.1109/CSCWD.2012.6221794
  • Filename
    6221794