A Research Paper on Green Computing Using Energy Efficient Task Allocation Strategy in Cloud Environment

Green Cloud Computing" gives the benefits to the environment. Cloud computing delivered as a service payper use basis. In traditional approach in the business organization, the investment for the requirement of this type of Service and moving up for up-gradation without any hassle is achievable and affordable. The data repository is the main part for one of their service from the data centers. This data centers are incorporated as a component of Cloud services in and are referred to as "Big Data". In this paper we have proposed a new power saving algorithm for reducing the heat dissipated by the datacenters in the IT industry. The proposed algorithm will be able to reduce the Carbon footprints and will provide the maximum savings to the client and the provider. The main goal is to reduce the power consumption by datacenters. Energy efficient scheduling of workloads help to reduce the consumption of energy in data centers thus help in better usage of resource. A toolkit known as cloudsim for modeling and simulation of cloud computing environment has been used to implement and demonstrate the results. The results aimed at analyzing the different parameters involved in cloud like total power consumption, total processing time, and total waiting time. Keywords— Carbon footprints, cloud computing, virtual machine, cloudlets, DVFS, host, broker.