A Hierarchical Semi-Markov Load Model for AI Data Centers Coupling Job Scheduling with Bulk-Synchronous-Parallel Power Dynamics

arXiv:2607.12222 · eess.SY, cs.SY · Submitted 2026-07-13 · Read on arXiv

eess.SY, cs.SY

Submitted: 2026-07-13

Updated: 2026-09-25

Terminology

• Trace — 7× in this paper · explained in 2 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Wasserstein Distance — 3× in this paper · explained in 4 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Spatial Load Correlation — 2× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Department of Energy — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes

Sources

• Power Stabilization for AI Training Datacenters
• Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning

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