云计算可移植性与风险评估

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}
引用次数: 6

摘要

本研究的目的是确定与工作从私有云迁移到公共云相关的风险。在私有环境中满足特定任务的资源需求只会将核心应用程序最小程度地暴露给公共云。因此,可以将私有数据和应用程序的潜在风险问题降至最低。但是,当核心应用程序迁移到公共云时,风险要高得多。由此可见,准确识别工作迁移中的风险因素极为重要。该报告建议确定内部和外部环境产生的风险类别。这将需要使用缓解策略来消除与作业迁移阶段相关的风险因素。这种迁移是通过考虑专用用户的角色和一组公共约束来实现的。本研究结果表明,安全的工作迁移可以通过有效的风险管理和缓解技术来实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud Computing Potability with Risk Assessment
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信