{"title":"QoS-Based Web Services Selection","authors":"Hongbing Wang, Ping Tong, Phil Thompson","doi":"10.1109/ICEBE.2007.109","DOIUrl":null,"url":null,"abstract":"Nowadays, composing previous available Web services into incremental Web services with more powerful functions has become a new hotspot. To select Web services during the process of composing them is a chief task, so it becomes crucial to select services providing the same or similar functionality by their non-functional attributes namely Quality of Service (QoS). In order to solve this problem, this paper proposes to combine the same or similar functional services into classes of service. It designs the QoS- globally optimal model, which is respectively solved by using \"simulated annealing\" and \"genetic \" algorithms, the two algorithms , compared by experiment.","PeriodicalId":184487,"journal":{"name":"IEEE International Conference on e-Business Engineering (ICEBE'07)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on e-Business Engineering (ICEBE'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEBE.2007.109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
Nowadays, composing previous available Web services into incremental Web services with more powerful functions has become a new hotspot. To select Web services during the process of composing them is a chief task, so it becomes crucial to select services providing the same or similar functionality by their non-functional attributes namely Quality of Service (QoS). In order to solve this problem, this paper proposes to combine the same or similar functional services into classes of service. It designs the QoS- globally optimal model, which is respectively solved by using "simulated annealing" and "genetic " algorithms, the two algorithms , compared by experiment.