• DocumentCode
    2305948
  • Title

    Bayesian network-based exception handling for web service composition

  • Author

    Yao Chen ; Shi Ying ; Xiangyang Jia

  • Author_Institution
    State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
  • fYear
    2012
  • fDate
    29-31 Dec. 2012
  • Firstpage
    2197
  • Lastpage
    2200
  • Abstract
    Nowadays, there are more and more web services published on the internet and the new application systems can be constructed by the composition of such web services. It´s a trend and novel way for enterprises to build dynamic needs in modern markets, which has won a lot of increasing attentions in all fields. However, the application system composed by web services is easy to cause various failures due to the uncontrollable web services and the network instability. In order to guarantee the quality of the web service composition, this paper presents a method of exception handling based on the improved Bayesian network. The relationships between web services and Bayesian network is constructed as the topological structure during the process of web services composition. For getting better performance, the traditional Bayesian network algorithm is improved by modifying parameter setting for determining the prior probability of service nodes and the conditional probability of service output node. The detail of Bayesian Network-based exception handling for web service composition is given and analyzed. An experiment is also performed and the results show the proposed method is feasible and effective.
  • Keywords
    Web services; belief networks; exception handling; probability; Bayesian network; Internet; Web services composition quality; conditional probability; exception handling; service nodes; service output node; topological structure; Bayesian network; Exception Handling; Web Service Compositio; Web Services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4673-2963-7
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2012.6526354
  • Filename
    6526354