Simulating High Availability Scenarios in Cloud Data Centers: A Closer Look

Mohamed Abu Sharkh, A. Shami, P. Ohlen, Abdelkader H. Ouda, A. Kanso
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引用次数: 6

Abstract

Migrating to the cloud is becoming a necessity for the majority of businesses. Cloud tenants require certain levels of performance in aspects like high availability and service rate and deployment options. On the other hand, Cloud providers are in constant pursuit of a system that satisfies client demands for resources, maximizes availability, minimizes power consumption and, in turn, minimizes the cloud providers' cost. A main challenge cloud providers face here is ensuring high availability (HA). High availability includes the combined reliability of components of all categories including network, computational, hardware and software components of all layers. In this work, we first address the need for a cloud simulator that enables HA algorithm testing in cloud environments and observe its impact on energy efficiency. We introduce a framework to amend cloud simulators with critical HA features. We take GreenCloud, a major simulator with a direct focus on green computing, and implement these features as an additional measurement layer. We demonstrate these added features by simulating their impact on a phased communication application (PCA).
模拟云数据中心中的高可用性场景:深入研究
迁移到云正在成为大多数企业的必需品。云租户在高可用性、服务率和部署选项等方面需要一定级别的性能。另一方面,云提供商不断追求满足客户对资源需求的系统,最大化可用性,最小化功耗,从而最小化云提供商的成本。云提供商在这里面临的一个主要挑战是确保高可用性(HA)。高可用性包括所有类别组件的综合可靠性,包括所有层的网络、计算、硬件和软件组件。在这项工作中,我们首先解决了对云模拟器的需求,该云模拟器支持在云环境中进行HA算法测试,并观察其对能源效率的影响。我们引入了一个框架来修改具有关键HA特性的云模拟器。我们采用GreenCloud,一个直接关注绿色计算的主要模拟器,并将这些功能实现为额外的测量层。我们通过模拟它们对相位通信应用程序(PCA)的影响来演示这些添加的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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