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Genetic Algorithm Utilized in Cost-Reduction Driven Web Service Selection

机译:成本减少驱动Web服务选择中使用的遗传算法

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A single web service is most likely inadequate to serve the customers' business needs; it takes a selection of various web services composed together to form a business process. The cost is the primary concern of many business processes. In this paper, we propose a new solution using Genetic Algorithm (GA) in cost-reduction driven web service selection. GA is utilized to optimize business process composed of many service agents (SAg), each of which corresponds to a collection of available web services provided by multiple service providers to perform a specific function. Service selection is an optimization process with taking into account the relationships among the services. Better performance has been gotten using GA in the paper than using local service selection strategy.
机译:单一的Web服务很可能不足以满足客户的业务需求;它需要一系列组合组成的Web服务来形成业务流程。成本是许多业务流程的主要关注点。在本文中,我们使用遗传算法(GA)在成本减少驱动的Web服务选择中提出了一种新的解决方案。 GA用于优化由许多服务代理(SAG)组成的业务流程,每个业务流程对应于多个服务提供商提供的可用Web服务的集合来执行特定功能。服务选择是一种优化过程,同时考虑了服务之间的关系。本文中的GA比使用本地服务选择策略更好的性能。

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