pith:LOM3BUMD
DataCenterGym: A Physics-Grounded Simulator for Multi-Objective Data Center Scheduling
DataCenterGym is a Gymnasium-compatible simulator integrating compute queueing, building thermal dynamics, localized HVAC, and temperature-dependent degradation for multi-objective geo-distributed data center scheduling, demonstrated with an H-MPC algorithm that outperforms baselines.
arxiv:2604.15594 v1 · 2026-04-17 · cs.DC · cs.AI
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\pithnumber{LOM3BUMDNAHI3Z2WDAB2FIOZEG}
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Claims
We present DataCenterGym, a physics-grounded simulation environment for job scheduling in geo-distributed data centers... We also develop a Hierarchical Model Predictive Control (H-MPC) scheduling algorithm that performs distributed job placement while explicitly accounting for thermal and power dynamics. Through experiments on nominal operation and workload sensitivity, we demonstrate how H-MPC improves scheduling performance relative to baseline schedulers.
The integrated models of compute queueing, building thermal dynamics, localized HVAC behavior, and temperature-dependent service degradation are sufficiently accurate representations of real geo-distributed data center physics to make simulation results transferable to practice.
DataCenterGym is a Gymnasium-compatible simulator integrating compute queueing, building thermal dynamics, localized HVAC, and temperature-dependent degradation for multi-objective geo-distributed data center scheduling, demonstrated with an H-MPC algorithm that outperforms baselines.
References
Receipt and verification
| First computed | 2026-08-06T01:20:06.242344Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5b99b0d183680e8de7561803a2a1d921af42b129f9ed61feee27f5a9b3be8232
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LOM3BUMDNAHI3Z2WDAB2FIOZEG \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 5b99b0d183680e8de7561803a2a1d921af42b129f9ed61feee27f5a9b3be8232
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.DC",
"submitted_at": "2026-04-17T00:28:25Z",
"title_canon_sha256": "a900a7592ba5ae37b5317cf362be9163c9243ddc694bc80385d5e2fc927dde8d"
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