S. Baskaran, V. Shenbaga, D. Thenmozhi, S. Shanmugapriya
{"title":"协同云校园资源共享平台","authors":"S. Baskaran, V. Shenbaga, D. Thenmozhi, S. Shanmugapriya","doi":"10.1109/ICCPEIC.2014.6915410","DOIUrl":null,"url":null,"abstract":"Software as a Service (SaaS) is an important flavour of cloud computing to provide global Business solutions. Innovations in cloud computing are leading to a promising future for cloud collaboration, where worldwide scattered distributed cloud resources belonging to diverse organizations or individuals are collectively used in a compliant manner to provide services. We propose a novel idea to utilize SaaS in the academic sector as an application, cloud campus and also to incorporate collaborative cloud computing (CCC) platform in four tasks: User and Service identity management, overall QoS based resource selection, resource overload control, feedback system.","PeriodicalId":176197,"journal":{"name":"2014 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Resource sharing platform for collaborative cloud campus\",\"authors\":\"S. Baskaran, V. Shenbaga, D. Thenmozhi, S. Shanmugapriya\",\"doi\":\"10.1109/ICCPEIC.2014.6915410\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software as a Service (SaaS) is an important flavour of cloud computing to provide global Business solutions. Innovations in cloud computing are leading to a promising future for cloud collaboration, where worldwide scattered distributed cloud resources belonging to diverse organizations or individuals are collectively used in a compliant manner to provide services. We propose a novel idea to utilize SaaS in the academic sector as an application, cloud campus and also to incorporate collaborative cloud computing (CCC) platform in four tasks: User and Service identity management, overall QoS based resource selection, resource overload control, feedback system.\",\"PeriodicalId\":176197,\"journal\":{\"name\":\"2014 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCPEIC.2014.6915410\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPEIC.2014.6915410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Resource sharing platform for collaborative cloud campus
Software as a Service (SaaS) is an important flavour of cloud computing to provide global Business solutions. Innovations in cloud computing are leading to a promising future for cloud collaboration, where worldwide scattered distributed cloud resources belonging to diverse organizations or individuals are collectively used in a compliant manner to provide services. We propose a novel idea to utilize SaaS in the academic sector as an application, cloud campus and also to incorporate collaborative cloud computing (CCC) platform in four tasks: User and Service identity management, overall QoS based resource selection, resource overload control, feedback system.