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Web服务及SOA技术的出现为Web应用架构提供了一个新的范式.未来会有大量功能相同或相近的Web服务,如何从中优选出符合用户需要的Web服务已成为一个正在研究的问题.在研究了现有的Web服务组中Web服务优选方法基础上,针对其仅局限于功能优选的不足,提出了一种面向QoS的Web服务组中Web服务优选方法.在定义Web服务QoS向量特征分量、QoS向量、最大相似度、QoS测试预言、QoS向量特征分量测试预言等参数基础上,基于层次聚类思想实现QoS向量聚类,依据最大相似度控制聚类层次,之后利用QoS测试预言、QoS向量特征分量测试预言及决策树实现优选.实验结果表明该方法是有效的,克服了以前的方法仅限于功能优选的局限性.
The emergence of Web services and SOA technology provides a new paradigm for Web application architecture.Whether there will be a large number of Web services with the same or similar functions in the future, how to choose a Web service that meets the needs of users has become an issue under study.In the research Based on the existing methods of Web service optimization in Web service group, a Web service optimization method in Web service group oriented to QoS is proposed in view of its limitation of function optimization.After defining the QoS vector components of Web service, QoS vector, maximum similarity, QoS test prediction and QoS vector feature component prediction. Based on the hierarchical clustering idea, QoS vector clustering is implemented and the clustering level is controlled according to the maximum similarity. After that, QoS test predictions and QoS vectors The test of feature components and the realization of the decision tree.Experimental results show that this method is effective and overcome the limitations of the previous method.