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Trust-oriented QoS-aware composite service selection based on genetic algorithms

Journal Article


Abstract


  • Service selection in service-oriented computing has emerged to be an increasingly important research area. From the client's point of view, in addition to the QoS of a service or a service composition, the trust level becomes an important part. As the complexity of invocation in service composition has been greatly increased, a comprehensive mechanism, which could evaluate both the subjective aspect as trust expression and the objective aspect as QoS, is needed. In this paper, we provide a formal service composition architecture for service selection. In addition, we propose a trust evaluation method for the service composition plan based on the subjective probability theory, based on them, our trust-oriented genetic algorithm (TOGA) is proposed to find a near-optimal service composition plan with QoS constraints. Experimental results have illustrated that our proposed approach can discover the near-optimal solution efficiently. Copyright © 2013 John Wiley & Sons, Ltd.

Authors


  •   Gao, Hao (external author)
  •   Yan, Jun
  •   Mu, Yi (external author)

Publication Date


  • 2014

Citation


  • Gao, H., Yan, J. & Mu, Y. (2014). Trust-oriented QoS-aware composite service selection based on genetic algorithms. Concurrency Computation Practice and Experience, 26 (2), 500-515.

Scopus Eid


  • 2-s2.0-84892512826

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3201

Number Of Pages


  • 15

Start Page


  • 500

End Page


  • 515

Volume


  • 26

Issue


  • 2

Abstract


  • Service selection in service-oriented computing has emerged to be an increasingly important research area. From the client's point of view, in addition to the QoS of a service or a service composition, the trust level becomes an important part. As the complexity of invocation in service composition has been greatly increased, a comprehensive mechanism, which could evaluate both the subjective aspect as trust expression and the objective aspect as QoS, is needed. In this paper, we provide a formal service composition architecture for service selection. In addition, we propose a trust evaluation method for the service composition plan based on the subjective probability theory, based on them, our trust-oriented genetic algorithm (TOGA) is proposed to find a near-optimal service composition plan with QoS constraints. Experimental results have illustrated that our proposed approach can discover the near-optimal solution efficiently. Copyright © 2013 John Wiley & Sons, Ltd.

Authors


  •   Gao, Hao (external author)
  •   Yan, Jun
  •   Mu, Yi (external author)

Publication Date


  • 2014

Citation


  • Gao, H., Yan, J. & Mu, Y. (2014). Trust-oriented QoS-aware composite service selection based on genetic algorithms. Concurrency Computation Practice and Experience, 26 (2), 500-515.

Scopus Eid


  • 2-s2.0-84892512826

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3201

Number Of Pages


  • 15

Start Page


  • 500

End Page


  • 515

Volume


  • 26

Issue


  • 2