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About this paper
Giulio Attenni, Novella Bartolini
The authors propose an orchestrator that places cloud jobs using data-center profiles for carbon, water, land use, and e-waste, combined with users’ priorities. It respects capacity limits and can consider migration when a specified improvement threshold is met. In 72-hour simulations with synthetic requests, preference-based scheduling avoids single-factor extremes, but e-waste was excluded and real-world performance remains unestablished.
Summary by alphaXiv.
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