A Study on Resource Scaling Scheme for Energy Efficiency in Cloud Datacenter

摘要

Cloud Data Center (CDC) is growing in popularity as academic and industry hot research spot. With the rapid growth of data centers, thousands of large data centers with lots of computing nodes are established. Accordingly, the energy consumption of the CDC is very high. Also, many of the current research studies have not considered server power state transition and its effect to performance and power consumption. In this paper, we build the resource scaling scheme for energy efficiency in CDCs with considered sleep-mode. And then from evaluation result, we proves that our proposed method is able to efficiently manage the resource and reduce energy consumption.