{"title":"Adaptive and Dynamic Quality-Aware Service Selection","authors":"D. Cavalcanti, F. N. Souza, N. Rosa","doi":"10.1109/PDP.2013.60","DOIUrl":null,"url":null,"abstract":"The need for replacing services belonging to a composition is motivated by several reasons, such as changes in the application's requirements, bug fixing, existence of a fresh service and so on. Due to the large number of services having similar (or even identical) functionalities, it has been widely accepted that the selection process for a new service should also take into account non-functional requirements (QoS attributes), such as performance, availability, security and so on. Existing approaches for service selection are usually static and do not consider quality attributes, i.e., they adopt a strategy (ranking algorithm) to rank the candidate services that is usually based on functional aspects and is never altered. In this context, this paper proposes a solution that allows to change the ranking strategy at runtime based on historical data of quality attributes.","PeriodicalId":202977,"journal":{"name":"2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDP.2013.60","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The need for replacing services belonging to a composition is motivated by several reasons, such as changes in the application's requirements, bug fixing, existence of a fresh service and so on. Due to the large number of services having similar (or even identical) functionalities, it has been widely accepted that the selection process for a new service should also take into account non-functional requirements (QoS attributes), such as performance, availability, security and so on. Existing approaches for service selection are usually static and do not consider quality attributes, i.e., they adopt a strategy (ranking algorithm) to rank the candidate services that is usually based on functional aspects and is never altered. In this context, this paper proposes a solution that allows to change the ranking strategy at runtime based on historical data of quality attributes.