• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (9): 83-88.

• 论文 • 上一篇    下一篇

Web服务QoS与用户位置的相关性实证研究

林祥云1,2,刘小青3,唐明董1,2,曹步清1,2,刘建勋1,2   

  1. (1.湖南科技大学知识处理与网络化制造湖南省普通高校重点实验室,湖南 湘潭 411201;
    2.湖南科技大学计算机科学与工程学院,湖南 湘潭 411201;
    3.密苏里科技大学计算机科学系,美国 罗拉 65401)
  • 收稿日期:2013-03-31 修回日期:2013-07-29 出版日期:2013-09-25 发布日期:2013-09-25
  • 基金资助:

    国家自然科学基金资助项目(61100054,61272063);湖南省自然科学基金资助项目(12JJ6064)

An empirical study of correlation between
Web service QoS and user location         

LIN Xiangyun1,2,LIU Xiaoqing3,TANG Mingdong1,2,CAO Buqing1,2,LIU Jianxun1,2   

  1. (1.Key Laboratory of Knowledge Processing & Networked Manufacturing,
    Hunan University of Science & Technology,Xiangtan 411201;
    2.School of Computer Science & Engineering,Hunan University of Science & Technology,Xiangtan 411201,China;
    3.Computer Science Department,Missouri University of Science & Technology,Rolla 65401,USA)
  • Received:2013-03-31 Revised:2013-07-29 Online:2013-09-25 Published:2013-09-25

摘要:

如何为用户准确预测Web服务的QoS是最近的一个热点研究问题。考虑到Web服务的QoS可能受用户具体位置的影响,一些工作提出了位置感知的Web服务QoS预测方法。然而,很少有工作在实践中针对Web服务QoS与用户位置的相关性进行具体验证。提出了一套对Web服务QoS与用户位置的关系进行验证的方法,并使用真实的Web服务QoS数据集进行了实验。实验与分析发现:用户位置越邻近,他们在相同Web服务上观察到的QoS越相似;反过来也是如此。这些结果表明Web服务QoS与用户位置之间具有较强的相关性,可以为位置感知的Web服务QoS预测方法提供很好的依据。

关键词: Web服务, QoS, 位置, 相关性, 预测

Abstract:

How to accurately predict Web service QoS (Quality of Service) has recently become a hot research topic. Considering the influence of user locations on Web service QoS, some studies have proposed a couple of locationaware Web service QoS prediction methods. However, the relationship between Web service QoS and user locations is rarely empirically investigated. Therefore, an empirical study for evaluating the relationship between them is carried out, and a set of experiments on a real dataset of Web service QoS is constructed. Experimental results show that two users that are close in location are likely to observe similar QoS values on the same set of Web services, and vice versa. These findings confirm the strong correlation between Web service QoS and user locations, which can provide important evidences for the effectiveness of locationaware Web service QoS prediction.

Key words: Web services;QoS;location;correlation;prediction