[1]海燕,王志坚,刘志中,等.一种支持Web服务QoS动态预测的方法[J].南京理工大学学报(自然科学版),2013,37(01):52.
 Hai Yan,Wang Zhijian,Liu Zhizhong,et al.Approach for web service QoS dynamic prediction[J].Journal of Nanjing University of Science and Technology,2013,37(01):52.
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一种支持Web服务QoS动态预测的方法
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
37卷
期数:
2013年01期
页码:
52
栏目:
出版日期:
2013-02-28

文章信息/Info

Title:
Approach for web service QoS dynamic prediction
作者:
海燕12王志坚1刘志中3周晓峰1尚领2
1.河海大学 计算机与信息学院,江苏 南京 210098;2.华北水利水电学院 信息工程学院,河南 郑州 410011; 3.河南理工大学 计算机科学与技术学院,河南 焦作 454000
Author(s):
Hai Yan12Wang Zhijian1Liu Zhizhong3Zhou Xiaofeng1Shang Ling2
1.College of Computer and Information Engineering,Hohai University,Nanjing 210098,China; 2.College of Information Engineering,North China University of Water Resources and Electric Power,Zhengzhou 450011,China; 3.College of Computer Sciences and Technolog
关键词:
Web服务服务质量动态预测半马尔可夫过程事例推理
Keywords:
web servicequality of servicedynamic predictionsemiMarkov processescasebased reasoning
分类号:
TP393
摘要:
为了在高度动态环境下准确地预测Web服务的服务质量(Quality of service,QoS),该文提出了一种基于半马尔可夫过程(SemiMarkov processes,SMP)和事例推理(Casebased reasoning,CBR)的QoS动态预测方法。该方法首先使用SMP预测Web服务在未来被调用时刻的忙闲状态,在此基础上,利用CBR技术预测Web服务处理具体任务时的QoS。实验结果表明:该预测方法能够大幅度提高Web服务QoS的准确度。研究结果为客观评价和成功选择Web服务提供了可靠的依据。
Abstract:
In order to accurately predict the web service Quality of Service(QoS)in a highly dynamic environment,this paper proposes a Qos dynamic prediction method based on semiMarkov processes(SMP)and casebased reasoning(CBR).This method firstly uses SMP to predict business state of web service in the future,and applies the technology of CBR to predict web service QoS such as a specific task.Experimental results show that this prediction method can improve the accuracy of web service QoS greatly.The results provide a reliable basis for the objective evaluation and successful web service composition.

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备注/Memo

备注/Memo:
基金项目:国家自然科学基金(60805022);国家“863”计划资助项目(2007AA01Z178)
作者简介:海燕(1970-),女,博士生,教授,主要研究方向:Web服务组合,进化算法,Email:haiyan@ncwu.edu.cn。
更新日期/Last Update: 2013-02-15