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A Geographical Region based Linear Representation to Minimize CO2 for Green Cloud Computing

Author : Manish Kumar Singh and Raghav Yadav

Pages : 2143-2148
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Cloud computing is a paradigm which offers a variety of new services. This service model involves cloud-based service providers providing a large pool of computational resources that comprise several data centers at different geographical locations. Recently, carbon emissions associated with powering data centers and linked networks have become an important issue. Here to reduce CO2 associated with a computational task in the cloud, a geographical partitions based decision policy has been proposed to compute on a greener data center. The proposed model accounts for CO2 at data centers as well as of networks in the processing of a particular task. Based on emitted CO2 level, the request should be routed to the data center where less carbon is produced for computation. Transport network and data center are taken into consideration to estimate carbon footprints. This paper contains matter which shows how a geographical partition based algorithm decides where to route computation request to make cloud computing greener

Keywords: Cloud computing, CO2 emission, Green cloud computing, Voronoi partitions

Article published in International Journal of Current Engineering and Technology, Vol.6, No.6 (Dec-2016)

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