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Trust‐oriented QoS‐aware composite service selection based on genetic algorithms
Author(s) -
Gao Hao,
Yan Jun,
Mu Yi
Publication year - 2014
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3015
Subject(s) - quality of service , computer science , service (business) , mobile qos , selection (genetic algorithm) , genetic algorithm , differentiated service , service oriented architecture , service design , composition (language) , distributed computing , web service , computer network , service delivery framework , artificial intelligence , world wide web , machine learning , business , marketing , linguistics , philosophy
SUMMARY 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.