A probabilistic protection guarantee enables a cloud provider to improve the availability of their cloud computing system in a cost-efficient manner. A backup resource allocation strategy based on the probabilistic protection guarantee reduces the total amount of required backup computation resources by allowing multiple virtual machines to share the same backup computation resources of a physical machine. There have been no experimental studies that investigate the impact of applying the probabilistic protection guarantee to a cloud computing framework in real use. This paper presents an experiment of failure recovery on the cloud computing system in which the backup computation resources are shared by multiple virtual machines. We implement a prototype cloud system by using the OpenStack framework to demonstrate the failure recovery scenario according to the backup resource allocation strategy. We develop an availability analytical model for the backup resource allocation strategy. Based on the analytical model, we present case studies which derive the availability of cloud system by using the measurement results of the experiment.

中文翻译：

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基于备份资源共享和概率保护保证的云计算系统实验与可用性分析模型

概率保护保证使云提供商能够以经济高效的方式提高其云计算系统的可用性。基于概率保护保证的备份资源分配策略通过允许多个虚拟机共享物理机的相同备份计算资源来减少所需的备份计算资源总量。没有实验研究调查将概率保护保证应用于实际使用的云计算框架的影响。本文提出了在云计算系统上进行故障恢复的实验，其中备份计算资源由多个虚拟机共享。我们通过使用OpenStack框架来实现原型云系统，以根据备份资源分配策略来演示故障恢复方案。我们为备份资源分配策略开发了一个可用性分析模型。在分析模型的基础上，我们提供了案例研究，该案例研究使用实验的测量结果得出了云系统的可用性。