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Assessing anthropogenic heat flux of public cloud data centers: current and future trends

Global average temperature had been significantly increasing during the past century, mainly due to the growing rates of greenhouse gas (GHG) emissions, leading to a global warming problem. Many research works indicated other causes of this problem, such as the anthropogenic heat flux (AHF). Cloud c...

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Autores principales: Baniata, Hamza, Mahmood, Sami, Kertesz, Attila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114818/
https://www.ncbi.nlm.nih.gov/pubmed/34013027
http://dx.doi.org/10.7717/peerj-cs.478
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author Baniata, Hamza
Mahmood, Sami
Kertesz, Attila
author_facet Baniata, Hamza
Mahmood, Sami
Kertesz, Attila
author_sort Baniata, Hamza
collection PubMed
description Global average temperature had been significantly increasing during the past century, mainly due to the growing rates of greenhouse gas (GHG) emissions, leading to a global warming problem. Many research works indicated other causes of this problem, such as the anthropogenic heat flux (AHF). Cloud computing (CC) data centers (DCs), for example, perform massive computational tasks for end users, leading to emit huge amounts of waste heat towards the surrounding (local) atmosphere in the form of AHF. Out of the total power consumption of a public cloud DC, nearly 10% is wasted in the form of heat. In this paper, we quantitatively and qualitatively analyze the current state of AHF emissions of the top three cloud service providers (i.e., Google, Azure and Amazon) according to their average energy consumption and the global distribution of their DCs. In this study, we found that Microsoft Azure DCs emit the highest amounts of AHF, followed by Amazon and Google, respectively. We also found that Europe is the most negatively affected by AHF of public DCs, due to its small area relative to other continents and the large number of cloud DCs within. Accordingly, we present mean estimations of continental AHF density per square meter. Following our results, we found that the top three clouds (with waste heat at a rate of 1,720.512 MW) contribute an average of more than 2.8% out of averaged continental AHF emissions. Using this percentage, we provide future trends estimations of AHF densities in the period [2020–2100]. In one of the presented scenarios, our estimations predict that by 2100, AHF of public clouds DCs will reach 0.01 Wm(−2).
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spelling pubmed-81148182021-05-18 Assessing anthropogenic heat flux of public cloud data centers: current and future trends Baniata, Hamza Mahmood, Sami Kertesz, Attila PeerJ Comput Sci Computer Networks and Communications Global average temperature had been significantly increasing during the past century, mainly due to the growing rates of greenhouse gas (GHG) emissions, leading to a global warming problem. Many research works indicated other causes of this problem, such as the anthropogenic heat flux (AHF). Cloud computing (CC) data centers (DCs), for example, perform massive computational tasks for end users, leading to emit huge amounts of waste heat towards the surrounding (local) atmosphere in the form of AHF. Out of the total power consumption of a public cloud DC, nearly 10% is wasted in the form of heat. In this paper, we quantitatively and qualitatively analyze the current state of AHF emissions of the top three cloud service providers (i.e., Google, Azure and Amazon) according to their average energy consumption and the global distribution of their DCs. In this study, we found that Microsoft Azure DCs emit the highest amounts of AHF, followed by Amazon and Google, respectively. We also found that Europe is the most negatively affected by AHF of public DCs, due to its small area relative to other continents and the large number of cloud DCs within. Accordingly, we present mean estimations of continental AHF density per square meter. Following our results, we found that the top three clouds (with waste heat at a rate of 1,720.512 MW) contribute an average of more than 2.8% out of averaged continental AHF emissions. Using this percentage, we provide future trends estimations of AHF densities in the period [2020–2100]. In one of the presented scenarios, our estimations predict that by 2100, AHF of public clouds DCs will reach 0.01 Wm(−2). PeerJ Inc. 2021-05-05 /pmc/articles/PMC8114818/ /pubmed/34013027 http://dx.doi.org/10.7717/peerj-cs.478 Text en ©2021 Baniata et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Computer Networks and Communications
Baniata, Hamza
Mahmood, Sami
Kertesz, Attila
Assessing anthropogenic heat flux of public cloud data centers: current and future trends
title Assessing anthropogenic heat flux of public cloud data centers: current and future trends
title_full Assessing anthropogenic heat flux of public cloud data centers: current and future trends
title_fullStr Assessing anthropogenic heat flux of public cloud data centers: current and future trends
title_full_unstemmed Assessing anthropogenic heat flux of public cloud data centers: current and future trends
title_short Assessing anthropogenic heat flux of public cloud data centers: current and future trends
title_sort assessing anthropogenic heat flux of public cloud data centers: current and future trends
topic Computer Networks and Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114818/
https://www.ncbi.nlm.nih.gov/pubmed/34013027
http://dx.doi.org/10.7717/peerj-cs.478
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