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 sharing of data from pool of resources existing in data centres when ever demanded. The imminent requirement for this purpose is proficiency of the data centre for fulfilment of this coveted objective. The pursuit of energy-efficient peak performance level is challenged by a simultaneous hike of energy consumption. The energy-efficient metrics contribute a major role for attainment of desired objective of safeguarding the environment. These metrics address the enhancement of the system’s proficiency. An increased energy-efficiency results into reduced consumption of energy resources since these energy resources are mostly non-renewable in nature and are the main source of carbon and heat emissions from operational data centres. As a matter of fact, any individual metric is not capable of achieving enhanced energy-efficient performance in a data centre. Therefore a collective utilization of selected metrics pertaining to 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 certain architectures which include 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