A QoS-aware Service Selection Method for Configuring Web Service Composition

Kyoung-a Yoon, Yoonhee Kim
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Abstract

To fulfill the complex user requirement, composition web service comprised of existing services is considered from the efficient and reusable point of view instead of making entirely new web service. However, with the growing the number of web services which provide the same functionality but differ in quality value, the service composition becomes a decision problem on which component services should be selected such that end-to-end QoS constraints by the client and overall QoS of the composition service are satisfied. QoS of service aspects is a determinant factor for selecting the services, since the performance of the composed service is determined by the performance of the involved component web service. In this paper, hybrid genetic algorithm is presented to select component services to take part in the QoS-aware composition. The local search method is used to be combined with the genetic algorithm to improve the individuals (component service) in population as well as composed service. The paper also presents a set of experiments conducted to evaluate the efficiency of selection algorithm using the real web service data.
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配置Web服务组合的qos感知服务选择方法
为了满足复杂的用户需求,从高效和可重用的角度考虑由现有服务组成的组合web服务,而不是制作全新的web服务。然而,随着提供相同功能但质量值不同的web服务数量的增加,服务组合成为一个决策问题,应该选择哪些组件服务,以满足客户机的端到端QoS约束和组合服务的总体QoS。服务方面的QoS是选择服务的决定性因素,因为组合服务的性能由所涉及的组件web服务的性能决定。本文提出了一种混合遗传算法来选择组件服务参与qos感知组合。将局部搜索方法与遗传算法相结合,对群体中的个体(组件服务)和组合服务进行改进。本文还利用实际的web服务数据进行了一组实验,以评估选择算法的效率。
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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