• DocumentCode
    2431206
  • Title

    Service-Correlation Aware Service Selection for Composite Service Based on the Improved Dijkstra Algorithm

  • Author

    Sen, Ma ; Wei, Chang ; Xiaoxian, Cui

  • Author_Institution
    Inf. Manage. Dept., Tianjin Univ. of Finance & Econ., Tianjin, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    2330
  • Lastpage
    2334
  • Abstract
    Web Services, as a way to implements SOA, are equipped with the characteristic of loose coupling. In service oriented application, more and more projects not only need to invoke a certain Web Service, but the composite application of Web Services which is selected from different physical locations. A combination of multiple-Web Services can be implemented by BPEL or the implementations of Web Services procedures can fit the Web Services together from different locations. However, as so far, it´s very difficult to assemble Web Services effectively and the QoS of different combinations are various. Further more, current service selection approaches often consider that a service is independent from other services and fail to establish the Service correlations. This paper proposes a dynamic weighted model of service-correlation aware with improved Dijkstra algorithm and self-adaptive algorithm to carry out a better combination of the candidate web services. A case study is conducted to demonstrate the advantage of the proposed approach in obtaining a better QoS.
  • Keywords
    Web services; combinatorial mathematics; mobile computing; quality of service; software architecture; BPEL; QoS; SOA; Web service; composite service; improved Dijkstra algorithm; self adaptive algorithm; service correlation awareness; Adaptation model; Algorithm design and analysis; Business; Heuristic algorithms; Quality of service; Service oriented architecture; SOA; service combination; service selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.589
  • Filename
    5592401