BASE: Benchmark analysis software for energy-efficient solutions in large-scale storage systems

The concept of green storage in cluster computing has generated a great deal of interest among researchers in recent years. As a result, several energy-efficient solutions, such as multi-speed disks and disk spin down methods, have been proposed to conserve power in storage systems and improve disk access. Some researchers evaluate their solutions via simulations, while others utilize real-world experiments. Both methods have advantages and disadvantages. To address the problem, we propose an efficient simulation tool called BASE, which can accurately estimate the power consumption of disks in large-scale storage systems. We evaluate the performance of BASE on real-world traces from Academia Sinica (Taiwan) and Florida International University. BASE incorporates an analytical method for evaluating the reliability of energy-efficient solutions. Our analysis results show that the measurement error of BASE is 2.5% lower than that achieved in real-world experiments on energy estimation. Moreover, the results of simulations performed to evaluate a solution's reliability are the same as those derived by real-world experiments.