• DocumentCode
    2176607
  • Title

    A QoS-Optimal Automatic Service Composition Method Based on Backtracting Theory

  • Author

    Lin, Wenmin ; Yang, Rutao ; Si, Xiaojie ; Qi, Lianyong ; Dou, Wanchun

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Nanjing Univ., Nanjing, China
  • fYear
    2010
  • fDate
    11-13 Dec. 2010
  • Firstpage
    369
  • Lastpage
    374
  • Abstract
    Generally, it is often a challenging issue to develop a QoS-optimal service composition schema from vast amount of services. In view of this challenge, an automatic service composition method is proposed, in this paper, to deal with the situation that the input functional properties and the output functional properties are specified in advance. More specifically, upon a vast amount of services, two filter algorithms are respectively imposed on the input functional properties and the output functional properties for achieving a small set of services that will be engaged in later service composition schema. Then a searching algorithm is imposed on this group of services, taking advantage of backtracking theory to develop a QoS-optimal service composition schema. At last, an integrated platform is investigated for promoting the application of the QoS-optimal service composition method.
  • Keywords
    Web services; ontologies (artificial intelligence); quality of service; Web service; backtracting theory; filter algorithm; input functional property; ontology; optimal automatic service composition method; output functional property; quality of service; searching algorithm; service composition schema; Filtering; Filtering algorithms; OWL; Ontologies; Quality of service; Semantics; Web services; QoS; ontological semantics; service composition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2010 IEEE 13th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-9591-7
  • Electronic_ISBN
    978-0-7695-4323-9
  • Type

    conf

  • DOI
    10.1109/CSE.2010.71
  • Filename
    5692502