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Cloud Computing: Survey on Energy Efficiency

Published:19 December 2014Publication History
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Abstract

Cloud computing is today’s most emphasized Information and Communications Technology (ICT) paradigm that is directly or indirectly used by almost every online user. However, such great significance comes with the support of a great infrastructure that includes large data centers comprising thousands of server units and other supporting equipment. Their share in power consumption generates between 1.1% and 1.5% of the total electricity use worldwide and is projected to rise even more. Such alarming numbers demand rethinking the energy efficiency of such infrastructures. However, before making any changes to infrastructure, an analysis of the current status is required. In this article, we perform a comprehensive analysis of an infrastructure supporting the cloud computing paradigm with regards to energy efficiency. First, we define a systematic approach for analyzing the energy efficiency of most important data center domains, including server and network equipment, as well as cloud management systems and appliances consisting of a software utilized by end users. Second, we utilize this approach for analyzing available scientific and industrial literature on state-of-the-art practices in data centers and their equipment. Finally, we extract existing challenges and highlight future research directions.

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                                      cover image ACM Computing Surveys
                                      ACM Computing Surveys  Volume 47, Issue 2
                                      January 2015
                                      827 pages
                                      ISSN:0360-0300
                                      EISSN:1557-7341
                                      DOI:10.1145/2658850
                                      • Editor:
                                      • Sartaj Sahni
                                      Issue’s Table of Contents

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                                      Publication History

                                      • Published: 19 December 2014
                                      • Accepted: 1 August 2014
                                      • Revised: 1 June 2014
                                      • Received: 1 March 2014
                                      Published in csur Volume 47, Issue 2

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