Improving Energy Efficiency through Load Optimization in Cloud Computing

Abstract

Cloud computing offers utility-oriented IT services to users worldwide based on a pay-as-you-go model. It also enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centers hosting Cloud applications consume huge amounts of electrical energy, contributing to high operational costs and carbon footprints to the environment. Therefore, we need Green Cloud computing solutions that can not only minimize operational costs but also reduce the environmental impact. A virtualization technology is a promising approach to consolidating multiple Virtual machines (VM) onto a minimum number of servers to improve energy efficiency of server. Dynamic VM provisioning, VM consolidation, and switching servers on and off as required, through all these techniques data centers can sustain the required Quality-of-Service (QoS) while accomplishing higher server utilization and energy efficiency. In this paper I conducted a survey of research in energy-efficient computing and proposed an algorithm that will play vital role in improving energy efficiency of the data center.