{"title":"Multi-objective Decision Support for Brokering of Cloud SLA","authors":"Alba Amato, S. Venticinque","doi":"10.1109/WAINA.2013.149","DOIUrl":null,"url":null,"abstract":"The selection of Cloud providers, whose offers best fit the requirements of a particular application, is a complex issue due to the heterogeneity of the Cloud services, resources, technology and service levels offered by the several providers. In this paper, we illustrate a model for the resolution of a problem of choice between alternatives, when numerous and often contradictory points of view must be taken simultaneously in consideration. We describe its implementation inside Cloud Agency to broker the proposals that best fit user's needs.","PeriodicalId":359251,"journal":{"name":"2013 27th International Conference on Advanced Information Networking and Applications Workshops","volume":"200 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 27th International Conference on Advanced Information Networking and Applications Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WAINA.2013.149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 38
Abstract
The selection of Cloud providers, whose offers best fit the requirements of a particular application, is a complex issue due to the heterogeneity of the Cloud services, resources, technology and service levels offered by the several providers. In this paper, we illustrate a model for the resolution of a problem of choice between alternatives, when numerous and often contradictory points of view must be taken simultaneously in consideration. We describe its implementation inside Cloud Agency to broker the proposals that best fit user's needs.