标题:A novel QoS predication approach based on regression algorithm
作者:Shi, Yuliang ;Zhang, Kun ;Liu, Bing ;Li, Qingzhong
通讯作者:Shi, Y
作者机构:[Shi, Yuliang ;Zhang, Kun ;Liu, Bing ;Li, Qingzhong ] School of Computer Science and Technology, Shandong University, Jinan, China
会议名称:7th Web Information Systems and Applications Conference, WISA 2010, 5th Workshop on Semantic Web and Ontology, SWON 2010, 4th Workshop on Electronic Government Technology and Application, EGTA 2010
会议日期:20 August 2010 through 22 August 2010
来源:Proc. - 7th Web Information Systems and Applications Conference, WISA 2010, Workshop on Semantic Web and Ontology, SWON 2010, Workshop on Electronic Government Technology and Application, EGTA 2010
出版年:2010
页码:208-211
DOI:10.1109/WISA.2010.50
关键词:QoS; QoS predication; Regression algorithm; Web service
摘要:Recently, as an important way of software applications, web services technology developed rapidly. As many web services provide the same functionality, quality of service (QoS) has become an important criterion for service selection. However, the QoS value provided by service provider is being tested in an ideal runtime, regardless of the effect of the actual load and different service time. This paper uses web service runtime period and service load as criteria, considers QoS historical data, and proposes a novel real-time QoS predication approach based on dualistic linear regression algorithm, which could be used to select the optimal web services. Experiments demonstrate the efficiency of the approach. © 2010 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049490358&doi=10.1109%2fWISA.2010.50&partnerID=40&md5=66baed86ad1d90ddf7091691c920875b
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