• DocumentCode
    2374026
  • Title

    The Design of an Intelligent Accountability Architecture

  • Author

    Lin, Kwei-Jay ; Panahi, Mark ; Zhang, Yue

  • Author_Institution
    Univ. of California, Irvine
  • fYear
    2007
  • fDate
    24-26 Oct. 2007
  • Firstpage
    157
  • Lastpage
    164
  • Abstract
    As more enterprises turn to SOA for the flexible deployment of business processes, adaptable and highly configurable infrastructures can be used to ensure that end-to-end quality of service requirements are met via automatic and dynamic process monitoring, diagnosis, and routing. We present the intelligent accountability middleware architecture (LLAMA) to support extensible SOA-based service process composition, run-time management, and configuration. It includes the infrastructure to continuously monitor services within an active service workflow, and dynamically adapt by performing run-time process reconfigurations. An open source enterprise service bus (ESB) project, Mule, has been adopted to incorporate its routing and interception mechanisms to create the LLAMA ESB to achieve dynamic configurability and dynamic routing that can be controlled and adjusted at run-time through agents and other LLAMA components and brokers. We measure the performance of the LLAMA ESB, specifically, the overhead of interceptors, and the profiling and dynamic routing infrastructure. We find that there is no significant overhead imposed by the LLAMA ESB.
  • Keywords
    business data processing; middleware; software architecture; active service workflow; business processes; end-to-end quality of service requirements; enterprise service bus; intelligent accountability middleware architecture; process diagnosis; process monitoring; process routing; run-time management; Computer architecture; Computer science; Design engineering; Middleware; Monitoring; Quality of service; Routing; Runtime; Service oriented architecture; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Business Engineering, 2007. ICEBE 2007. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-0-7695-3003-1
  • Type

    conf

  • DOI
    10.1109/ICEBE.2007.101
  • Filename
    4402087