Maintaining trustworthiness of service compositions

  • Authors:
  • Zaki Malik;Brahim Medjahed

  • Affiliations:
  • Wayne State University, Detroit, MI;University of Michigan, Dearborn, MI

  • Venue:
  • Proceedings of the 8th International Conference on Frontiers of Information Technology
  • Year:
  • 2010

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Abstract

We present a model for managing the trustworthiness of Web services involved in service compositions. We introduce the propagation of reputation information throughout the composition to aid all the services involved, in making informed decisions regarding the selection of their respective component services. In decreasing/increasing service reputations, our aim is to ensure that no service is wrongfully blamed. Our model is based on the "statistical cloud model" defined for uncertain situations. The model can uniformly describe the concepts of randomness, fuzziness, and their relationship in quantitative terms. Experiment results show the applicability of the proposed model in selecting and maintaining an optimal composition of services.