AI RESEARCH
DataCenterGym: A Physics-Grounded Simulator for Multi-Objective Data Center Scheduling
arXiv CS.AI
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ArXi:2604.15594v1 Announce Type: cross Modern datacenters schedule heterogeneous workloads across geo-distributed sites with diverse compute capacities, electricity prices, and thermal conditions. Compute utilization, heat generation, cooling demand, and energy consumption are tightly coupled, yet most existing schedulers abstract these effects and treat them independently. We present \textit{DataCenterGym}, a physics-grounded simulation environment for job scheduling in geo-distributed data centers, designed as a reusable testbed for future research.