Abstract:
In AI-based theory of Web service automatic composition reasoning, with the service set increasing, the complexity of reasoning is increased exponentially, so that it is not easy to apply. This paper proposes a Web services set reduction algorithm based on Quality of Web Service(QWS) dataset namly RfWss-QWS. From the Web services assessment, call, monitoring and management of the starting, it selects the best efficiency, stability and prices services to reduct services set as more as possible, so that a streamlined and comprehensive set of services is gained to be applied in the reasoning of Web service automatic composition.
Key words:
Web service,
service automatic composition,
Web service set,
reduction algorithm,
Quality of Web Service(QWS) dataset
摘要： 在基于人工智能理论的Web服务自动组合推理中，推理的复杂度呈指数级增长，难以在实际中应用。针对上述问题，提出一种基于QWS数据集的Web服务集消减算法RfWss-QWS，从Web服务的评估、调用、监控和管理出发，选择效率、稳定性和价格等最优的服务，从而最大限度地消减服务集，得到一个精简且完备的服务集合用于服务的自动组合推理。
关键词:
Web服务,
服务自动组合,
Web服务集,
消减算法,
QWS数据集
CLC Number:
LIU Dong, JIAN Dun-Pan, GE Rong-Wan, GAO Rong-Liang. Web Service Set Reduction Algorithm Based on Quality of Web Service[J]. Computer Engineering, 2011, 37(9): 71-74.
刘冬, 钱俊彦, 介颂园, 高荣亮. 基于QWS的Web服务集消减算法[J]. 计算机工程, 2011, 37(9): 71-74.