Computer Engineering and Applications ›› 2019, Vol. 55 ›› Issue (21): 74-78.DOI: 10.3778/j.issn.1002-8331.1807-0275

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Multi-Parameter Web Services Selection Method

JIA Zhichun, LU Yuan, LI Xiang, XING Xing   

  1. 1.College of Information Science and Technology, Bohai University, Jinzhou, Liaoning 121013, China
    2.Institute of Automation, Bohai University, Jinzhou, Liaoning 121013, China
  • Online:2019-11-01 Published:2019-10-30



  1. 1.渤海大学 信息科学与技术学院,辽宁 锦州 121013
    2.渤海大学 自动化研究院,辽宁 锦州 121013

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 Model(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.

Key words: second-order hidden Markov model, Quality of Service (QoS), Web service selection

摘要: 随着服务计算的快速发展,如何快速而准确地找到最优的Web服务组合是众多挑战中最重要的一项。提出了一种基于二阶隐马尔可夫模型(HMM)的服务选择方法。该方法使用服务质量(QoS)参数去区分具有相同功能的Web服务,并且选择一组最优的Web服务来执行用户请求。通过考虑两个QoS参数-吞吐量和响应时间,该方法能够解决根据设定的阈值来衡量Web服务质量的问题。通过构建的模型和算法,方法能够选择出最优的Web服务以满足用户的需求。仿真实验验证了所提出的方法是有效的。

关键词: 二阶隐马尔可夫模型, 服务质量(QoS), Web服务选择