QoS–Aware Web Service Composition using Weight Improved Particle Swarm Optimization

Laishram Jenny Chanu, Arnab Paul
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Abstract

Lots of Web Services are available which differ in their QoS values but can perform a similar task. Discovery mechanism selects the best Web Service according to their QoS values and functional attributes. Cases arise, where the discovery mechanism fails, as a user’s complex query cannot be satisfied by a single Web Service. This can be solved by Web Service composition where multiple Web Services are combined to give a composite Web Service which meet user’s complex query. Our work is mainly focused on composition of Web Services that efficiently meets the user’s query. Different algorithms have been discussed and used by different researchers in this field. One of the most blooming topics is the use of evolutionary algorithms in optimization problems. In our work, we have chosen Particle Swarm Optimization Algorithm approach to discover the best efficient composition. Then, Weight Improved Particle Swarm Optimization Algorithm is used to improve the results which were found to be quite satisfying and efficient.
基于权重改进粒子群优化的qos感知Web服务组合
有许多可用的Web服务,它们的QoS值不同,但可以执行类似的任务。发现机制根据Web服务的QoS值和功能属性选择最佳的Web服务。由于单个Web服务无法满足用户的复杂查询,因此会出现发现机制失败的情况。这可以通过Web服务组合来解决,其中将多个Web服务组合在一起以提供满足用户复杂查询的复合Web服务。我们的工作主要集中在有效地满足用户查询的Web服务组合上。不同的算法已经被不同的研究者讨论和使用。最热门的话题之一是在优化问题中使用进化算法。在我们的工作中,我们选择了粒子群优化算法来发现最有效的组合。然后,利用加权改进粒子群算法对算法进行改进,得到了较好的优化结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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