Experiment and Availability Analytical Model of Cloud Computing System Based on Backup Resource Sharing and Probabilistic Protection Guarantee

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.