Prediction Based Energy Efficient Virtual Machine Consolidation in Cloud Computing

Abstract

Cloud computing enables the web hosting of computing resources, applications to be available for consumers on a pay-per-use basis. This has made cloud computing quite popular and the need of today's world. With this, the demand for computational power has increased and this has led to the creation of large-scale cloud data centres. These data centresresult in large electrical power consumption and thus the cost of operation and maintenance, which has become a major issue in the cloud. Therefore we need to find out solutions to minimize this power consumption and thus operating cost. In this paper, a prediction based faster energy efficient virtual machine (VM) consolidation scheme is proposed which results in faster VM consolidation to improve Quality of Service (QoS) and performance while reducing energy consumption.