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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Preference-Aware QoS Evaluation for Cloud Web Service Composition Based on Artificial Neural Networks
verfasst von : Xuyun Zhang, Wanchun Dou
Erschienen in: Web Information Systems and Mining
Verlag: Springer Berlin Heidelberg
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Since QoS properties play an increasingly important role during the procedure of web service composition in Cloud environment, they have obtained great interests in both research community and IT domain. Yet evaluating the comprehensive QoS values of composite services in accord with the consumers’ preferences is still a significant but challenging problem due to the subjectivity of consumers. Since reflecting preference by the explicit weights assigned for each criterion is quite arduous, this paper proposes a global QoS-driven evaluation method based on artificial neural networks, aiming at facilitating the web service composition without preference weights. As well as this, a prototype composition system is developed to bolster the execution of proposed approach.