• DocumentCode
    2323406
  • Title

    Automated Web Service Composition System on Enterprise Service Bus

  • Author

    Tang, Xinhuai ; Sun, Sizhe ; Yuan, Xiaozhou ; Chen, Delai

  • Author_Institution
    Sch. of Software, Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2009
  • fDate
    8-10 July 2009
  • Firstpage
    9
  • Lastpage
    13
  • Abstract
    The fast and constant development of economic and computer network technology urges the building of enterprise integration platform, and quick delivery of new web services. These problems can be solved by applying technologies like Enterprise Service Bus (ESB) and automated web services composition. In this paper, we present an ESB based automated web service composition prototype. Our prototype D-Composer consists of two subsystems: AI planning subsystem and workflow binding subsystem. The former subsystem takes users´ requirement as input, uses an AI planning engine to construct an abstract workflow, and transforms it to the workflow binding subsystem through ESB. The latter one binds appropriate service instances to the abstract workflow via a matchmaking engine, then generates a BPEL workflow, and executes it.
  • Keywords
    Web services; planning (artificial intelligence); virtual enterprises; workflow management software; AI planning engine; BPEL workflow; D-composer prototype; abstract workflow construction; automated Web service composition system; computer network technology; enterprise integration platform; enterprise service bus; matchmaking engine; workflow binding subsystem; Application software; Artificial intelligence; Computer networks; Engines; Environmental economics; Prototypes; Service oriented architecture; Standards development; Sun; Web services; AI Planning; Enterprise Service Bus; Matchmaking; web service conposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Secure Software Integration and Reliability Improvement, 2009. SSIRI 2009. Third IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3758-0
  • Type

    conf

  • DOI
    10.1109/SSIRI.2009.24
  • Filename
    5325398