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arXiv · 2501.17944

WaterWise: Co-optimizing Carbon- and Water-Footprint Toward Environmentally Sustainable Cloud Computing

Yankai Jiang·Rohan Basu Roy·Raghavendra Kanakagiri·Devesh Tiwari
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Abstract

The carbon and water footprint of large-scale computing systems poses serious environmental sustainability risks. In this study, we discover that, unfortunately, carbon and water sustainability are at odds with each other - and, optimizing one alone hurts the other. Toward that goal, we introduce, WaterWise, a novel job scheduler for parallel workloads that intelligently co-optimizes carbon and water footprint to improve the sustainability of geographically distributed data centers.

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Yankai Jiang, Rohan Basu Roy, Raghavendra Kanakagiri, Devesh Tiwari. 2025-01-29. WaterWise: Co-optimizing Carbon- and Water-Footprint Toward Environmentally Sustainable Cloud Computing. https://arxiv.org/abs/2501.17944

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