A. Chopra, P. Prasad, A. Alsadoon, S. Ali, A. Elchouemi
{"title":"云计算可移植性与风险评估","authors":"A. Chopra, P. Prasad, A. Alsadoon, S. Ali, A. Elchouemi","doi":"10.1109/MobileCloud.2016.20","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to identify the risks associated with job migration from private to public cloud. Meeting the resource requirements of a particular task in the private environment causes only minimal exposure of the core applications to public cloud. The potential risk issues to the private data and applications can thus be minimized. However, risks are significantly higher when core applications are migrated to public cloud. This places high importance on accurate identification of risk factor in job migration is extremely important. This report proposes to identify categories of risk arising from internal and external environment. This will require use of mitigating strategies to eliminate risk factors associated with the phases of a job migration. Such migration is achieved by taking in to account the roles of the dedicated users and set of common constraints. The findings from this research results indicate that safe job migration can be achieved with effective risk management and mitigation techniques.","PeriodicalId":176270,"journal":{"name":"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Cloud Computing Potability with Risk Assessment\",\"authors\":\"A. Chopra, P. Prasad, A. Alsadoon, S. Ali, A. Elchouemi\",\"doi\":\"10.1109/MobileCloud.2016.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study is to identify the risks associated with job migration from private to public cloud. Meeting the resource requirements of a particular task in the private environment causes only minimal exposure of the core applications to public cloud. The potential risk issues to the private data and applications can thus be minimized. However, risks are significantly higher when core applications are migrated to public cloud. This places high importance on accurate identification of risk factor in job migration is extremely important. This report proposes to identify categories of risk arising from internal and external environment. This will require use of mitigating strategies to eliminate risk factors associated with the phases of a job migration. Such migration is achieved by taking in to account the roles of the dedicated users and set of common constraints. The findings from this research results indicate that safe job migration can be achieved with effective risk management and mitigation techniques.\",\"PeriodicalId\":176270,\"journal\":{\"name\":\"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MobileCloud.2016.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MobileCloud.2016.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The purpose of this study is to identify the risks associated with job migration from private to public cloud. Meeting the resource requirements of a particular task in the private environment causes only minimal exposure of the core applications to public cloud. The potential risk issues to the private data and applications can thus be minimized. However, risks are significantly higher when core applications are migrated to public cloud. This places high importance on accurate identification of risk factor in job migration is extremely important. This report proposes to identify categories of risk arising from internal and external environment. This will require use of mitigating strategies to eliminate risk factors associated with the phases of a job migration. Such migration is achieved by taking in to account the roles of the dedicated users and set of common constraints. The findings from this research results indicate that safe job migration can be achieved with effective risk management and mitigation techniques.