• DocumentCode
    1938087
  • Title

    An Adaptive Agent Coordination Framework for Web Services Composition

  • Author

    Sun, Zhi-Zhong ; Li, Bin ; Li, Liang

  • Author_Institution
    Yangzhou Univ., Yangzhou
  • Volume
    7
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    3870
  • Lastpage
    3875
  • Abstract
    Web service composition is an important technology for agile inter-enterprise application integration. Centric composition engines are widely adopted to enact composite services in many Web service composition research projects. Such a centralized architecture, however, results in problem of scalability, message exchange efficiency, autonomy and adaptation. To deal with the problems discussed above, an adaptive agent coordination framework for service composition is proposed in this paper. Firstly, an agent-based framework for Web services composition is presented. Next, agent model and agent conversation are proposed. Finally, an algorithm of process partition is introduced and the adaptation of service composition is discussed. Simulation results indicate that this framework can support highly concurrent requests and large volume of data more effectively than traditional architecture, so it is helpful to improve the scalability of composite services.
  • Keywords
    Web services; multi-agent systems; ubiquitous computing; Web service composition research projects; adaptive agent coordination; agent conversation; agile interenterprise application integration; message exchange efficiency; process partition; scalability; Application software; Computer architecture; Context awareness; Context-aware services; Cybernetics; Machine learning; Scalability; Software agents; Unified modeling language; Web services; Agent coordination; Context aware; Self-adaptation; Web service composition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370821
  • Filename
    4370821