Networked computing systems for bio-diversity and environmental preservation

Author:

Periola A. A.,Alonge A. A.,Ogudo K. A.

Abstract

AbstractComputing 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.

Funder

UJ-URC-FEBE

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference39 articles.

1. Mytton, D. Data centre water consumption. npj Clean Water 4, 11 (2021).

2. Kass, S. & Ravagni, A. Designing and Building the Next Generation of Sustainable Data Centers. Sustainable Development Goals 1–21 (2019)

3. Roach, J. Microsoft finds Underwater data centres are reliable, practical, and use Energy Sustainably, Sept 14, 2020. https://news.microsoft.com/innovation-stories-/project-natick-underwater-datacenter/. Accessed 15 Apr 2021.

4. Hume, D. Underwater Data Centers, Oct 24, 2017. https://theliquidgrid.com/2017/10/24/underwater-data-centers. Accessed 15 Apr 2021.

5. Brown, A. S. Heat Sink Sunk. In Mechanical Engineering 41–46 (2017).

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