Implementing a Resilient Application Architecture for State Management on a PaaS Cloud

V. Sharma, Aravindan Santharam
{"title":"Implementing a Resilient Application Architecture for State Management on a PaaS Cloud","authors":"V. Sharma, Aravindan Santharam","doi":"10.1109/CloudCom.2013.26","DOIUrl":null,"url":null,"abstract":"Platform as a Service Clouds typically lack direct support for application state management, and traditional state management techniques like clustering are not applicable as PaaS platforms offer little support for changing the underlying platform configuration. In this paper we build upon our earlier work where we proposed a session-state management architecture for Cloud called ReLoC, that uses loosely-coupled services and platform agnostic scalable messaging technology to propagate and save session states. Here, we present an actual implementation of the ReLoC onto a PaaS platform and an empirical evaluation of the original hypotheses of scalability and resilience of the proposed application architecture. We also present the challenges faced in implementing ReLoC on Heroku. The results indicate that ReLoC indeed allows applications to scale well and mitigates failures in individual application instances while maintaining state and hiding such failures from the users. The results also indicate that the performance degradation due to use of ReLoC is minimal and it is thus a promising approach for resilient user state management on PaaS Clouds.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CloudCom.2013.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Platform as a Service Clouds typically lack direct support for application state management, and traditional state management techniques like clustering are not applicable as PaaS platforms offer little support for changing the underlying platform configuration. In this paper we build upon our earlier work where we proposed a session-state management architecture for Cloud called ReLoC, that uses loosely-coupled services and platform agnostic scalable messaging technology to propagate and save session states. Here, we present an actual implementation of the ReLoC onto a PaaS platform and an empirical evaluation of the original hypotheses of scalability and resilience of the proposed application architecture. We also present the challenges faced in implementing ReLoC on Heroku. The results indicate that ReLoC indeed allows applications to scale well and mitigates failures in individual application instances while maintaining state and hiding such failures from the users. The results also indicate that the performance degradation due to use of ReLoC is minimal and it is thus a promising approach for resilient user state management on PaaS Clouds.
在PaaS云上实现状态管理的弹性应用程序架构
平台即服务云通常缺乏对应用程序状态管理的直接支持,而像集群这样的传统状态管理技术并不适用,因为PaaS平台几乎不支持更改底层平台配置。在本文中,我们在之前的工作基础上提出了一个名为ReLoC的云会话状态管理架构,该架构使用松耦合服务和平台无关的可扩展消息传递技术来传播和保存会话状态。在这里,我们给出了一个在PaaS平台上的ReLoC的实际实现,并对所提议的应用程序架构的可伸缩性和弹性的原始假设进行了实证评估。我们还介绍了在Heroku上实施ReLoC所面临的挑战。结果表明,ReLoC确实可以很好地扩展应用程序,减轻单个应用程序实例中的故障,同时保持状态并对用户隐藏此类故障。结果还表明,由于使用ReLoC而导致的性能下降是最小的,因此它是一种在PaaS云上进行弹性用户状态管理的有前途的方法。
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