2010 | OriginalPaper | Buchkapitel
A Novel Local Optimization Method for QoS-Aware Web Service Composition
verfasst von : Xiaojie Si, Xuyun Zhang, Wanchun Dou
Erschienen in: Web Information Systems and Mining
Verlag: Springer Berlin Heidelberg
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QoS-aware web service selection has become a hot-spot research topic in the domain of web service composition. In previous works, the multiple tasks recruited in a composite schema are usually considered of equal importance. However, it is unreasonable for each task to have the absolutely same weight in certain circumstances. Hence, it is a great challenge to mine the weights among different tasks to reflect customers’ partial preferences. In view of this challenge, a novel local optimization method is presented in this paper, which is based on a two-hierarchy weight, i.e., weight of task’s criteria and weight of tasks. Finally, a case study is demonstrated to validate the feasibility of our proposal.