Elasticity in Cloud Computing using Automatic Policy

Abstract

Cloud computing is among the most fast growing and symbolic contemporary technologies that has revolutionized modern ICT. To deal with growing demand, cloud needs to establish large data centers consisting of optimized computing machines. Elasticity is an asset of cloud computing which makes it better or may be best over the other conventional grid and cluster computing. Data centers in cloud whether private, public or hybrid use elastic nature of cloud to provision Virtual Machines (VMs) with remarkable flexibility. However, operating and maintaining those underlying physical resources incurs large amount of energy consumption causing significant cost to the provider and CO2 emission leading to environmental impact. Therefore, cloud providers must optimize the VM allocation to the physical resources, constantly balancing between the conflicting requirements on performance and operational costs. Consolidating VMs effectively on the physical machines utilizes the resources efficiently. Proper utilization of resources saves electrical energy, cost and reduces CO2 emission too. Virtualization and VM migration are core part of this optimization process. The goal is to reduce energy consumption by effectively utilizing