{"title":"QoS-aware Composite Service Selection in Grids","authors":"Yang Qu, Chuang Lin, Yuanzhuo Wang, Zhiguang Shan","doi":"10.1109/GCC.2006.77","DOIUrl":null,"url":null,"abstract":"Grid computing powered by Web service technology is creating abundant service-oriented applications which are promoting the sharing and collaboration of global resources. Complex tasks can be fulfilled quickly and efficiently by combining (physically distributed) individual services into a competent composite service. Since a lot of available individual services have the same functional properties while different non-functional properties (e.g. quality of service), decisions have to be made to select superior individual services from candidates for service composition. In this paper, the authors present a quality of service (QoS) model of service composition, as well as a composite service selection approach which can optimally choose the competent services, in the sense of satisfying users QoS requirement, for the demanded composite services with specified composite structures","PeriodicalId":280249,"journal":{"name":"2006 Fifth International Conference on Grid and Cooperative Computing (GCC'06)","volume":"221 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 Fifth International Conference on Grid and Cooperative Computing (GCC'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCC.2006.77","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
Grid computing powered by Web service technology is creating abundant service-oriented applications which are promoting the sharing and collaboration of global resources. Complex tasks can be fulfilled quickly and efficiently by combining (physically distributed) individual services into a competent composite service. Since a lot of available individual services have the same functional properties while different non-functional properties (e.g. quality of service), decisions have to be made to select superior individual services from candidates for service composition. In this paper, the authors present a quality of service (QoS) model of service composition, as well as a composite service selection approach which can optimally choose the competent services, in the sense of satisfying users QoS requirement, for the demanded composite services with specified composite structures