Abstract
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.
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Si, X., Zhang, X., Dou, W. (2010). A Novel Local Optimization Method for QoS-Aware Web Service Composition. In: Wang, F.L., Gong, Z., Luo, X., Lei, J. (eds) Web Information Systems and Mining. WISM 2010. Lecture Notes in Computer Science, vol 6318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16515-3_50
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DOI: https://doi.org/10.1007/978-3-642-16515-3_50
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