• DocumentCode
    3263682
  • Title

    Independent Global Constraints Web Service Composition Optimization Based on Color Petri Net

  • Author

    Xiangwei, Liu ; Zhicai, Xu

  • Author_Institution
    Econ. & Manage. Dept., Anhui Univ. of Sci. & Technol., Huainan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    217
  • Lastpage
    220
  • Abstract
    Under the service-oriented circumstances, developers can rapidly create applications through Web service composition, but the wholly intellectualized automatic composition is a very complicated process. So, many applications and research about composite services emphasize on semi-automatic mode. This paper presents independent global constrains-aware Web service composition method based on color Petri net (CPN) and genetic algorithm (GA). Firstly, a CPN modeling methods which can describe multi-attribute multi-constraint relations and associate relation between component services is proposed. Secondly, combining with the properties of CPN, GA is used to search a legal firing sequence in the CPN model, and the composite service corresponding to the legal firing sequence. Using legal firing sequences of the Petri net makes the service composition locating space based on GA shrink greatly. Theoretical analysis and experimental results indicate that this method owns both lower computation cost and higher success ratio of service composition.
  • Keywords
    Petri nets; Web services; genetic algorithms; graph colouring; CPN; color Petri net; component service; genetic algorithm; independent global constraints Web service composition; legal firing sequence search; multiattribute multiconstraint relation; optimization method; semiautomatic mode; service-oriented circumstance; Color; Computational intelligence; Conference management; Constraint optimization; Genetic algorithms; Greedy algorithms; Law; Legal factors; Technology management; Web services; Colored Petri net; Composition; Genetic algorithm; Web Service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.73
  • Filename
    5230984