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Energy efficiency in cloud computing data centers: a survey on software technologies

Cloud computing is a commercial and economic paradigm that has gained traction since 2006 and is presently the most significant technology in IT sector. From the notion of cloud computing to its energy efficiency, cloud has been the subject of much discussion. The energy consumption of data centres...

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Autores principales: Katal, Avita, Dahiya, Susheela, Choudhury, Tanupriya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424070/
https://www.ncbi.nlm.nih.gov/pubmed/36060618
http://dx.doi.org/10.1007/s10586-022-03713-0
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author Katal, Avita
Dahiya, Susheela
Choudhury, Tanupriya
author_facet Katal, Avita
Dahiya, Susheela
Choudhury, Tanupriya
author_sort Katal, Avita
collection PubMed
description Cloud computing is a commercial and economic paradigm that has gained traction since 2006 and is presently the most significant technology in IT sector. From the notion of cloud computing to its energy efficiency, cloud has been the subject of much discussion. The energy consumption of data centres alone will rise from 200 TWh in 2016 to 2967 TWh in 2030. The data centres require a lot of power to provide services, which increases CO2 emissions. In this survey paper, software-based technologies that can be used for building green data centers and include power management at individual software level has been discussed. The paper discusses the energy efficiency in containers and problem-solving approaches used for reducing power consumption in data centers. Further, the paper also gives details about the impact of data centers on environment that includes the e-waste and the various standards opted by different countries for giving rating to the data centers. This article goes beyond just demonstrating new green cloud computing possibilities. Instead, it focuses the attention and resources of academia and society on a critical issue: long-term technological advancement. The article covers the new technologies that can be applied at the individual software level that includes techniques applied at virtualization level, operating system level and application level. It clearly defines different measures at each level to reduce the energy consumption that clearly adds value to the current environmental problem of pollution reduction. This article also addresses the difficulties, concerns, and needs that cloud data centres and cloud organisations must grasp, as well as some of the factors and case studies that influence green cloud usage.
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spelling pubmed-94240702022-08-30 Energy efficiency in cloud computing data centers: a survey on software technologies Katal, Avita Dahiya, Susheela Choudhury, Tanupriya Cluster Comput Article Cloud computing is a commercial and economic paradigm that has gained traction since 2006 and is presently the most significant technology in IT sector. From the notion of cloud computing to its energy efficiency, cloud has been the subject of much discussion. The energy consumption of data centres alone will rise from 200 TWh in 2016 to 2967 TWh in 2030. The data centres require a lot of power to provide services, which increases CO2 emissions. In this survey paper, software-based technologies that can be used for building green data centers and include power management at individual software level has been discussed. The paper discusses the energy efficiency in containers and problem-solving approaches used for reducing power consumption in data centers. Further, the paper also gives details about the impact of data centers on environment that includes the e-waste and the various standards opted by different countries for giving rating to the data centers. This article goes beyond just demonstrating new green cloud computing possibilities. Instead, it focuses the attention and resources of academia and society on a critical issue: long-term technological advancement. The article covers the new technologies that can be applied at the individual software level that includes techniques applied at virtualization level, operating system level and application level. It clearly defines different measures at each level to reduce the energy consumption that clearly adds value to the current environmental problem of pollution reduction. This article also addresses the difficulties, concerns, and needs that cloud data centres and cloud organisations must grasp, as well as some of the factors and case studies that influence green cloud usage. Springer US 2022-08-30 2023 /pmc/articles/PMC9424070/ /pubmed/36060618 http://dx.doi.org/10.1007/s10586-022-03713-0 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Katal, Avita
Dahiya, Susheela
Choudhury, Tanupriya
Energy efficiency in cloud computing data centers: a survey on software technologies
title Energy efficiency in cloud computing data centers: a survey on software technologies
title_full Energy efficiency in cloud computing data centers: a survey on software technologies
title_fullStr Energy efficiency in cloud computing data centers: a survey on software technologies
title_full_unstemmed Energy efficiency in cloud computing data centers: a survey on software technologies
title_short Energy efficiency in cloud computing data centers: a survey on software technologies
title_sort energy efficiency in cloud computing data centers: a survey on software technologies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424070/
https://www.ncbi.nlm.nih.gov/pubmed/36060618
http://dx.doi.org/10.1007/s10586-022-03713-0
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