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

2025/01/29 by Yankai Jiang, Rohan Basu Roy, Jiang, Yankai +5 · 6 citations
Environmental Science · Computer Science · #Water-Energy-Food Nexus Studies #Opportunistic and Delay-Tolerant Networks

paper · pdf · doi:10.48550/arxiv.2501.17944

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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• Spatio-Temporal Shifting to Reduce Carbon, Water, and Land-Use Footprints of Cloud Workloads
• Environmental Impact of CI/CD Pipelines
• ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems
• Environmentally-Conscious Cloud Orchestration Considering Geo-Distributed Data Centers
• Not All Water Consumption Is Equal: A Water Stress Weighted Metric for Sustainable Computing

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