Assessment and simulation of system performance of a cloud-based data-protection system

Abstract

A method for assessing performance of a cloud-based remote data-protection system is proposed. This method makes it possible to determine whether the system performance achieves recovery point objective (RPO) or not. It is also necessary to resize the data-protection system for satisfying required performance with smaller expenses. Therefore, we established a formula for simulating system performance. Based on the results of the simulation, we show it is possible to determine an appropriate system size that achieves RPO as well as minimizes the amount of system resources. It is experimentally demonstrated that there are no gap between the experimentally measured and simulated recovery points at peak of system workload. So we concluded that the proposed simulation is accurate enough. Also, it is estimated that 89% of system resource expenses could be reduced in comparison to the situation in which data-protection system is designed to fit a peak workload.