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Networked computing systems for bio-diversity and environmental preservation
Computing platforms have a high water footprint that poses threat to biodiversity preservation. The high water footprint reduces water availability for habitat preservation. Hence, approaches that reduce the water footprint are needful. The presented research proposes an approach that reduces the ne...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885831/ https://www.ncbi.nlm.nih.gov/pubmed/35228608 http://dx.doi.org/10.1038/s41598-022-07226-z |
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author | Periola, A. A. Alonge, A. A. Ogudo, K. A. |
author_facet | Periola, A. A. Alonge, A. A. Ogudo, K. A. |
author_sort | Periola, A. A. |
collection | PubMed |
description | Computing platforms have a high water footprint that poses threat to biodiversity preservation. The high water footprint reduces water availability for habitat preservation. Hence, approaches that reduce the water footprint are needful. The presented research proposes an approach that reduces the need for water in future computing platforms. It proposes a hybrid computing platform that comprises terrestrial and non-terrestrial computing platforms. The performance benefit of using hybrid computing platforms is evaluated using the novel water potential metric. The water potential (WP) quantifies the need for water (for cooling) by computing platforms. A low WP shows that computing platforms have reduced the need for water and indicates better performance than a high WP from the perspective of reducing water footprint. Evaluation is done via performance formulation and stochastic simulation of the WP metric. Analysis shows that using the hybrid computing platform instead of the existing approach that utilizes only water-cooled terrestrial data centres reduces the WP by (4.9–93) % on average. |
format | Online Article Text |
id | pubmed-8885831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88858312022-03-01 Networked computing systems for bio-diversity and environmental preservation Periola, A. A. Alonge, A. A. Ogudo, K. A. Sci Rep Article Computing platforms have a high water footprint that poses threat to biodiversity preservation. The high water footprint reduces water availability for habitat preservation. Hence, approaches that reduce the water footprint are needful. The presented research proposes an approach that reduces the need for water in future computing platforms. It proposes a hybrid computing platform that comprises terrestrial and non-terrestrial computing platforms. The performance benefit of using hybrid computing platforms is evaluated using the novel water potential metric. The water potential (WP) quantifies the need for water (for cooling) by computing platforms. A low WP shows that computing platforms have reduced the need for water and indicates better performance than a high WP from the perspective of reducing water footprint. Evaluation is done via performance formulation and stochastic simulation of the WP metric. Analysis shows that using the hybrid computing platform instead of the existing approach that utilizes only water-cooled terrestrial data centres reduces the WP by (4.9–93) % on average. Nature Publishing Group UK 2022-02-28 /pmc/articles/PMC8885831/ /pubmed/35228608 http://dx.doi.org/10.1038/s41598-022-07226-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Periola, A. A. Alonge, A. A. Ogudo, K. A. Networked computing systems for bio-diversity and environmental preservation |
title | Networked computing systems for bio-diversity and environmental preservation |
title_full | Networked computing systems for bio-diversity and environmental preservation |
title_fullStr | Networked computing systems for bio-diversity and environmental preservation |
title_full_unstemmed | Networked computing systems for bio-diversity and environmental preservation |
title_short | Networked computing systems for bio-diversity and environmental preservation |
title_sort | networked computing systems for bio-diversity and environmental preservation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885831/ https://www.ncbi.nlm.nih.gov/pubmed/35228608 http://dx.doi.org/10.1038/s41598-022-07226-z |
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