计算机工程与应用2019，Vol.55Issue(21)：73-77,5.DOI:10.3778/j.issn.1002-8331.1807-0275
一种多参数的Web服务选择方法
Multi-Parameter Web Services Selection Method
摘要
Abstract
With the rapid development of service computing, how to quickly and accurately find the best optimal Web service composition is the most important one of many challenges. This paper presents a second-order Hidden Markov Mode(l HMM)-based Web service selection method. This method uses Quality of Service(QoS)parameters to distinguish the Web services with the same functionality, and selects a group of the optimal Web services to perform user requests. By considering the two QoS parameters-throughput and response time, the method can solve the problem of measuring the quality of Web services based on thresholds set. A set of optimal services are selected to meet the needs of users by this model and algorithm. The simulation experiments validates this method is effective.关键词
二阶隐马尔可夫模型/服务质量(QoS)/Web服务选择Key words
second-order hidden Markov model/Quality of Service(QoS)/Web service selection分类
信息技术与安全科学引用本文复制引用
贾志淳,卢元,李想,邢星..一种多参数的Web服务选择方法[J].计算机工程与应用,2019,55(21):73-77,5.基金项目
国家自然科学基金(No.61603054,No.61503036) （No.61603054,No.61503036）
辽宁省自然科学基金(No.20170540016). （No.20170540016）
