• DocumentCode
    3053034
  • Title

    A Quantitative and Qualitative Approach for NFP-Aware Web Service Composition

  • Author

    Wang, Hongbing ; Ma, Peisheng ; Zhou, Xuan

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China
  • fYear
    2012
  • fDate
    24-29 June 2012
  • Firstpage
    202
  • Lastpage
    209
  • Abstract
    Web service composition is a standard approach to create value-added services from existing ones. As the Web services on the Internet grows, there are more and more services providing identical functionalities while differing in their non-functional properties (NFPs). However, most of the existing techniques for NFP-aware service composition consider either only quantitative NFPs or only qualitative NFPs. In this paper, we present a service composition model considering both quantitative and qualitative NFPs. We propose two algorithms for conducting service composition. One combines global optimization with local selection into one mechanism. The other is a genetic algorithm based solution. We have conducted extensive experiments to evaluate the effectiveness of our proposals.
  • Keywords
    Web services; genetic algorithms; Internet; genetic algorithm; global optimization; identical functionality; local selection; nonfunctional property-aware Web service composition; qualitative approach; quantitative approach; value-added service; Availability; Genetic algorithms; Testing; Time factors; USA Councils; Vectors; Web services; NFP-aware; NFPs; TCP-nets; qualtitative and qualitative; service composition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2012 IEEE Ninth International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    978-1-4673-3049-7
  • Type

    conf

  • DOI
    10.1109/SCC.2012.16
  • Filename
    6274145