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Multicriteria Evaluation-Based Framework for Composite Web Service Selection

In: Evaluation and Decision Models with Multiple Criteria

Author

Listed:
  • Salem Chakhar

    (University of Portsmouth)

  • Serge Haddad

    (École Normale Supérieure de Cachan)

  • Lynda Mokdad

    (Université Paris XII)

  • Vincent Mousseau

    (Ecole Centrale Paris)

  • Samir Youcef

    (Université Paris-Dauphine)

Abstract

The present paper seeks to propose a general framework to composite Web services selection. The proposed framework extends the conventional Web services architecture by adding a new component in the registry devoted to multicriteria classification of compositions into different ordered Quality of Service (QoS) classes. This additional component takes as input the specification of the desired service, a set of functional and non-functional evaluation criteria, a set of QoS-ordered classes, and a set of preference parameters, and generates as output a classification of composite Web services into different QoS-ordered classes. In addition to the description of the proposed framework, the paper proposes solutions to construct, evaluate and classify composite Web services. The paper also briefly presents the developed prototype and then illustrates and discusses some computational aspects of the proposed framework using numerical data.

Suggested Citation

  • Salem Chakhar & Serge Haddad & Lynda Mokdad & Vincent Mousseau & Samir Youcef, 2015. "Multicriteria Evaluation-Based Framework for Composite Web Service Selection," International Handbooks on Information Systems, in: Raymond Bisdorff & Luis C. Dias & Patrick Meyer & Vincent Mousseau & Marc Pirlot (ed.), Evaluation and Decision Models with Multiple Criteria, edition 127, chapter 0, pages 167-200, Springer.
    • Handle: RePEc:spr:ihichp:978-3-662-46816-6_6
    DOI: 10.1007/978-3-662-46816-6_6
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