• DocumentCode
    2338140
  • Title

    A cross-layer quality driven approach in Web service selection

  • Author

    Wu, Jin ; Sun, Zhili

  • Author_Institution
    Centre for Commun. Syst. Res., Univ. of Surrey, Guildford
  • fYear
    2008
  • fDate
    13-16 Nov. 2008
  • Firstpage
    656
  • Lastpage
    661
  • Abstract
    In order to make Web services operate in a performance optimal status, it is necessary to make an effective decision on selecting the most suitable service provider among a set Web services that provide identical functions. We argue that the network performance between the service container and service consumer can pose a significant influence to the performance of Web service that the consumer actually receive, while current researches have limited emphasis on this issue. In this paper, we propose a cross-layer approach for Web service selection which takes the network performance issue into consideration during the service selection process. A discrete representation of cross-layer performance correlation is proposed. Based on which, a qualitative reasoning method is introduced to predict the performance at the service user side. The integration of the quality driven Web service selection method to service oriented architecture is also considered. Simulation is designed and experiment results suggest that the new approach significantly improves the accuracy of Web service selection and delivers a performance elevation for Web services.
  • Keywords
    Web services; software architecture; Web service selection; cross-layer quality driven approach; network performance; qualitative reasoning method; service oriented architecture; Availability; Communication networks; Containers; Costs; Current measurement; Quality of service; Service oriented architecture; Sun; Telecommunication network reliability; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Information Management, 2008. ICDIM 2008. Third International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-2916-5
  • Electronic_ISBN
    978-1-4244-2917-2
  • Type

    conf

  • DOI
    10.1109/ICDIM.2008.4746795
  • Filename
    4746795