Exploration of application migration to cloud environment

Ahmed Kandil, H. El-Deeb
{"title":"Exploration of application migration to cloud environment","authors":"Ahmed Kandil, H. El-Deeb","doi":"10.1109/CONFLUENCE.2016.7508097","DOIUrl":null,"url":null,"abstract":"Cloud computing has strongly imposed itself on the area of research for both industry and academics requirements. Cloud providers are moving or planning to move their applications to the cloud environment attaining infrastructures and different cloud service organizations. This task includes a lot of details to be academic selected to tackle such a task raising up a lot of questions which needs to be addressed in a scientific and practical approach. Most researches concerning this issue stressing on the challenges of the migration process to the cloud. But few studies stresses on the life running of practical applications in the cloud environment monitoring some selected performance measures to be compared before and after migration .The objective of this process could assist in taking a critical decision regarding either to keep or modify the practical migrated application. The Objective of this research is to evaluate the performance measures of a real running transaction processing system (TPS) as a selected case study before and after migration to the cloud environment. Plotting and analysis of the conducted results over the Amazon EC2 cloud environment as public cloud and a selected specific private cloud indicates 52% compared to the performance measures before migration which strongly support the usage of cloud computing approach for practical case studies without concerning about any performance degradation. The lower overhead cost for migration to public cloud environments proves the robustness of the proposed approach for this research.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONFLUENCE.2016.7508097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Cloud computing has strongly imposed itself on the area of research for both industry and academics requirements. Cloud providers are moving or planning to move their applications to the cloud environment attaining infrastructures and different cloud service organizations. This task includes a lot of details to be academic selected to tackle such a task raising up a lot of questions which needs to be addressed in a scientific and practical approach. Most researches concerning this issue stressing on the challenges of the migration process to the cloud. But few studies stresses on the life running of practical applications in the cloud environment monitoring some selected performance measures to be compared before and after migration .The objective of this process could assist in taking a critical decision regarding either to keep or modify the practical migrated application. The Objective of this research is to evaluate the performance measures of a real running transaction processing system (TPS) as a selected case study before and after migration to the cloud environment. Plotting and analysis of the conducted results over the Amazon EC2 cloud environment as public cloud and a selected specific private cloud indicates 52% compared to the performance measures before migration which strongly support the usage of cloud computing approach for practical case studies without concerning about any performance degradation. The lower overhead cost for migration to public cloud environments proves the robustness of the proposed approach for this research.
探索应用程序迁移到云环境
云计算在工业界和学术界的研究领域都有很强的影响力。云提供商正在或计划将其应用程序迁移到云环境中,以实现基础设施和不同的云服务组织。这项任务包括许多细节,学术选择来解决这样一个任务提出了很多问题,需要以科学和实际的方法来解决。大多数关于这一问题的研究都强调了向云迁移过程中的挑战。但是很少有研究强调实际应用程序在云环境中的生命周期运行,监控迁移前后比较的一些选定的性能指标。这个过程的目标可以帮助做出关于保留或修改实际迁移的应用程序的关键决策。本研究的目的是评估实际运行的事务处理系统(TPS)在迁移到云环境之前和之后的性能指标,作为一个选定的案例研究。对Amazon EC2云环境作为公共云和选定的特定私有云的运行结果进行绘图和分析表明,与迁移前的性能指标相比,性能指标提高了52%,这有力地支持将云计算方法用于实际案例研究,而不用担心任何性能下降。迁移到公共云环境的较低开销成本证明了本研究提出的方法的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:481959085
Book学术官方微信