• DocumentCode
    408115
  • Title

    Hybrid messaging of adaptive workflow engine

  • Author

    WeiQi, Cao ; JuanZi, Li ; Kehong, Wang

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
  • Volume
    1
  • fYear
    2003
  • fDate
    8-13 Oct. 2003
  • Firstpage
    657
  • Abstract
    To realize the adaptive workflow engine, the messaging system is the backbone. Hybrid architectures were given to adapt different MOMs (message-oriented middleware) protocols. After exploring publish/subscribe and point-to-point messaging models, the server-side components modeling business processes are employed to leverage underlying middleware services, and hybrid ways to integrate JMS with EJB for the reliable and fault-tolerant platforms are fulfilled. Detailed analysis and design with the object model for the five synchronous/asynchronous communication scenarios is presented. The main modules and the deployment diagram are also given to guide future application, which has solved the adaptive problem of the workflow engine radically. It is easily implemented and extensively applied.
  • Keywords
    Java; corporate modelling; distributed object management; electronic messaging; middleware; software fault tolerance; workflow management software; adaptive workflow engine; asynchronous communication scenarios; business process modelling; fault-tolerant platforms; hybrid messaging; message-oriented middleware protocols; middleware services; point-to-point messaging models; publish/subscribe messaging model; server-side components; Computer architecture; Computer science; Engines; Fault tolerance; Knowledge engineering; Logic; Message-oriented middleware; Routing; Spine; Workflow management software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
  • Print_ISBN
    0-7803-7925-X
  • Type

    conf

  • DOI
    10.1109/RISSP.2003.1285652
  • Filename
    1285652