DataCenterGym: A Physics-Grounded Simulator for Multi-Objective Data Center Scheduling
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. The simulator integrates compute queueing, building thermal dynamics, localized HVAC behavior, and temperature-dependent service degradation within a Gymnasium-compatible interfa...
| Authors | Nilavra Pathak, Samadrita Biswas, Nirmalya Roy |
|---|---|
| Primary category | cs.DC |
| Published | 17 April 2026 |
| Last updated at source | 17 April 2026 |
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