Trust‐oriented QoS‐aware composite service selection based on genetic algorithms. (11th April 2013)

• Record Type: Journal Article
• Authors: Gao, Hao; Yan, Jun; Mu, Yi
• Is Part Of: Concurrency and computation. Volume 26:Number 2(2014:Feb.)
• Page Start: 500
• Page End: 515
• Publication Date: 2013-04-11
• Subjects: Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.3015
• Languages: English
• ISSNs: 1532-0626

Abstract

<abstract abstract-type="main" id="cpe3015-abs-0001"> <title>SUMMARY</title> <p id="cpe3015-para-0001">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 &amp; Sons, Ltd.</p> </abstract>