WaterWise: Co-optimizing Carbon- and Water-Footprint Toward Environmentally Sustainable Cloud Computing
Yankai Jiang, Rohan Basu Roy, Raghavendra Kanakagiri, Devesh Tiwari
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.
Topics & Concepts
Carbon footprintCloud computingFootprintComputer scienceEnvironmental scienceCarbon fibersEnvironmental economicsGreenhouse gasOperating systemGeologyComposite numberOceanographyAlgorithmPaleontologyEconomicsWater-Energy-Food Nexus StudiesCloud Computing and Resource ManagementWater Quality Monitoring Technologies