Data Centre Efficiency Enhancement by Metrics Oriented Approach to Revamp Green Cloud Computing Concept
Saumitra Vatsal1, Satya Bhushan Verma2
1Saumitra Vatsal, Department of Computer Science and Engineering, Shri Ramswaroop Memorial University, India.
2Dr. Satya Bhushan Verma, Department of Computer Science and Engineering, Shri Ramswaroop Memorial University, India.
Manuscript received on 15 April 2023 | Revised Manuscript received on 17 June 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 1-14 | Volume-12 Issue-8, July 2023 | Retrieval Number: 100.1/ijitee.F95320512623 | DOI: 10.35940/ijitee.F9532.0712823
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing inherits the sharing of data from a pool of resources existing in data centres whenever demanded. The imminent requirement for this purpose is the data centre’s ability to fulfil this coveted objective. A simultaneous increase in energy consumption poses a challenge to achieving energy-efficient peak performance. Energy-efficient metrics play a crucial role in achieving the desired purpose of safeguarding the environment. These metrics aim to enhance the system’s proficiency. An increase in energy efficiency results in reduced consumption of energy resources, as these resources are mostly non-renewable and are the primary source of carbon and heat emissions from operational data centres. No single metric is capable of achieving enhanced energy-efficient performance in a data centre. Therefore, a collective utilisation of selected metrics about power, performance, and network traffic can improve the energy-efficient capability of data centre communication systems. The testing platform for such metrics is based on specific architectures, including D-Cell, B-Cube, Hyper-Cube, and Fat-Tree three-tier architectures.
Keywords: Cloud Computing, Green Cloud Computing, Energy-Efficiency, Metrics.
Scope of the Article: Cloud Computing