A Load And Energy Aware Virtual Machine Scheduling Approach For Data Centres

Abstract

A data centre frequently doubles as a cloud computing hub, offering services utilising its computing and storage resources. The host machines in data centres are typically virtualized, which introduces a tough research problem, namely, how to schedule the virtual machines (VM) on the hosts for energy efficiency. This enables on-demand resource provision with elasticity and high dependability. The purpose of this work is to improve data centres' energy efficiency through scheduling. The design and implementation of a novel VM scheduling method will be suggested to support this task. With the ultimate goal of lowering a data centre’s energy consumption, this technique handles both load-balancing and temperature awareness.