{"title":"对云服务提供商之间的交互进行建模","authors":"D. Kyriazis","doi":"10.1109/CCIS.2012.6664246","DOIUrl":null,"url":null,"abstract":"Cloud computing is becoming a widely adopted underlying technology for the provision of different types of services. As a paradigm building on a set of combined technologies, it enables service provision through the commoditization of IT assets and on-demand usage patterns. Within the application domain, services move away from the monolithic approach into an Internet-scale composite one by exploiting data, atomic services and infrastructures. In this paper an approach is presented for identifying and modeling the interactions between service providers. The presented approach can be exploited during the selection process for composite services based on various metrics that define the corresponding end-to-end Quality of Service (QoS).","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modeling the interactions between cloud service providers\",\"authors\":\"D. Kyriazis\",\"doi\":\"10.1109/CCIS.2012.6664246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud computing is becoming a widely adopted underlying technology for the provision of different types of services. As a paradigm building on a set of combined technologies, it enables service provision through the commoditization of IT assets and on-demand usage patterns. Within the application domain, services move away from the monolithic approach into an Internet-scale composite one by exploiting data, atomic services and infrastructures. In this paper an approach is presented for identifying and modeling the interactions between service providers. The presented approach can be exploited during the selection process for composite services based on various metrics that define the corresponding end-to-end Quality of Service (QoS).\",\"PeriodicalId\":392558,\"journal\":{\"name\":\"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCIS.2012.6664246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIS.2012.6664246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling the interactions between cloud service providers
Cloud computing is becoming a widely adopted underlying technology for the provision of different types of services. As a paradigm building on a set of combined technologies, it enables service provision through the commoditization of IT assets and on-demand usage patterns. Within the application domain, services move away from the monolithic approach into an Internet-scale composite one by exploiting data, atomic services and infrastructures. In this paper an approach is presented for identifying and modeling the interactions between service providers. The presented approach can be exploited during the selection process for composite services based on various metrics that define the corresponding end-to-end Quality of Service (QoS).