• DocumentCode
    2424565
  • Title

    Weighted fuzzy clustering for capability-driven service aggregation

  • Author

    Dorn, Christoph ; Dustdar, Schahram

  • Author_Institution
    Distrib. Syst. Group, Vienna Univ. of Technol., Vienna, Austria
  • fYear
    2010
  • fDate
    13-15 Dec. 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Workflow design, mashup configuration, and composite service formation are examples where the capabilities of multiple simple services combined achieve a complex functionality. In this paper we address the problem of limiting the number of required services that fulfill the required capabilities while exploiting the functional specialization of individual services. Our approach strikes a balance between finding one service that matches all required capabilities and having one service for each required capability. Specifically, we introduce a weighted fuzzy clustering algorithm that detects implicit service capability groups. The clustering algorithm considers capability importance and service fitness to support those capabilities. Evaluation based on a real world dataset successfully demonstrates the effectiveness and applicability for service aggregation.
  • Keywords
    Web services; fuzzy set theory; pattern clustering; service-oriented architecture; statistical analysis; capability-driven service aggregation; composite service formation; individual services; mashup configuration; service fitness; weighted fuzzy clustering; workflow design; Clustering algorithms; Color; Entropy; Focusing; Mashups; Measurement; Quality of service; fuzzy clustering; service aggregation; service capabilities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service-Oriented Computing and Applications (SOCA), 2010 IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    978-1-4244-9802-4
  • Type

    conf

  • DOI
    10.1109/SOCA.2010.5707163
  • Filename
    5707163