Artificial Intelligence and Communication Technologies
Energy Optimization In Data Centers For Cloud Computing
Authors: Anjali R Bobra and Bhavesh Patel
Publishing Date: 06-08-2022
ISBN: 978-81-955020-5-9
Abstract
Cloud is rising as an integrative research area due to its systematized handling over the varied computing resources as a service to the end users all over the web. It has emerged with adding into large scale Data centers which contain thousand number of heterogeneous servers across the globe. These Data centers require lot of energy for its functioning. Looking into the increased requirement of computing, the size of Data Centers is increasing day by day and in turn resulting in increased consumption of energy. This poses a real challenge in front of the industry to make the data Centers green and energy efficient to reduce both the cost of running and carbon foot print which is not environment sustainable. Several energy optimization approaches are suggested by various re-searcher in this area. Regarding this end, we identified distinct techniques which are capable of minimizing the energy intake of data centers like consolidation, cooling techniques, routing algorithms, virtualization, scheduling, load balancing and migration etc. We have also reviewed various simulation tools used by researchers for testing their energy efficient approaches. Lastly a research direction has been identified for play down the consumption of energy.
Keywords
Cloud Computing, Energy Efficiency, Data Centers, Virtual Machine Placement.
Cite as
Anjali R Bobra and Bhavesh Patel, "Energy Optimization In Data Centers For Cloud Computing", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2022, pp. 127-136. https://doi.org/10.52458/978-81-955020-5-9-12