Limiting global warming by improving data-centre software
Authors:
- Damián Fernández-Cerero,
- Alejandro Fernández-Montes,
- Agnieszka Jakóbik
Abstract
Carbon emissions, greenhouse gases and pollution in general are usually related to traditionalfactories, so the most modern computingfactorieshave gone unnoticed for the general-public opinion.We empirically show through extensive and realistic simulation that: 1) energy consumption, and conse-quently CO2emissions, could be reduced from∼15% to∼60% if the correct energy-efficiency policies areapplied; and 2) such energy-consumption reduction can be achieved without negatively impacting the correctoperation of these infrastructures. To this end, this work is focused on the proposal and analysis of a set ofenergy-efficiency policies which are applied to traditional and hyper-scale data centres, as well as numerousoperation environments, including: 1) the top resource managers used in industry; 2) eight energy-efficiencypolicies, including aggressive, fine-tuned and adaptive models; and 3) three types of workload-arrivalpatterns. Finally, we present a realistic analysis of the environmental impact of the application of suchenergy-efficiency policies on USA data centres. The presented results estimate that 11.5 million of tons ofCO2could be saved, which is equivalent to the removal of 4.79 million of combustion cars, that is, the totalcar fleet of countries such as Portugal, Austria and Sweden.
- Record ID
- CUT8f38a9a7b6d946ac814ee97850c18542
- Publication categories
- ;
- Author
- Journal series
- IEEE Access, ISSN 2169-3536
- Issue year
- 2020
- Vol
- 8
- Pages
- 44048-44062
- Article number
- 19442638
- Other elements of collation
- schem.; tab.; wykr.; Bibliografia (na s.) - 44061-44062; Bibliografia (liczba pozycji) - 51; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 8
- Keywords in English
- green cloud computing, balancing energy in processing, storage and transport
- DOI
- DOI:10.1109/ACCESS.2020.2978306 Opening in a new tab
- URL
- https://ieeexplore.ieee.org/abstract/document/9024058 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 100
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT8f38a9a7b6d946ac814ee97850c18542/
- URN
urn:pkr-prod:CUT8f38a9a7b6d946ac814ee97850c18542
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.