• DocumentCode
    2322410
  • Title

    Reliability Computing for Service Composition

  • Author

    Ding, Zuohua ; Jiang, Mingyue

  • Author_Institution
    Center of Math Comput. & Software Eng., Zhejiang Sci-Tech Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    8-10 July 2009
  • Firstpage
    449
  • Lastpage
    450
  • Abstract
    Web service composition is a distributed model to construct new Web service on top of existing primitive or other composite Web services. However, current service technologies, including proposed composition languages, do not address the reliability of Web service composition. Thus it is hard to predict the system reliability. In this paper, we propose a method to compute system reliability based on service component architecture(SCA). We first present a formal service component signature model with respect to the specification of the SCA assembly model, and then propose a language-independent dynamic behaviour model for specifying the interface behaviour of the service component by port activities. Then the failure behaviors of ports are defined through the enhanced non-homogeneous Poisson process (ENHPP). Based on the semantics of ports, several rules have been generated to compute reliabilities of port expressions, thus the overall system reliability can be automatically computed.
  • Keywords
    Web services; software reliability; stochastic processes; Web service composition; enhanced non-homogeneous Poisson process; formal service component signature model; language-independent dynamic behaviour model; port activities; reliability computing; service component architecture; system reliability; Assembly; Character generation; Component architectures; Distributed computing; Fault tolerance; Internet; Reliability; Simple object access protocol; Software engineering; Web services; Non-Homogeneous Poisson.; Reliability; Service component architecture; Service composition;
  • 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.2009.56
  • Filename
    5325333