Energy and carbon efficient VM placement and migration technique for green cloud datacenters

Abstract

One of the most popular emerging technologies in today's world is Cloud Computing and it is being used widely all over the world by many IT companies as it provides various benefits to the users like cost saving and ease of use. But with the growing demands of users for computing services, cloud providers are encouraged to deploy large data centers which consume very large amount of energy and contribute to high operational costs. Carbon dioxide emission rate is also increasing day by day due to huge amount of power consumption. Therefore, we require to develop techniques which will help to get more environment friendly computing i.e. Green Cloud Computing. Some of the techniques being used in cloud data centers for reducing the operational costs, power consumption and CO2 emission are resource allocation, virtualization and VM migrations. In this paper, we propose a new technique to reduce the carbon emission and energy consumption in the distributed cloud datacenters having different energy sources and carbon footprint rates. Our approach uses the carbon footprints of all the datacenters in distributed cloud architecture and the concept of virtual machine allocation and migration inside each datacenter for reducing the carbon emission and energy consumption in the federated cloud system.