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pith:LOM3BUMD

pith:2026:LOM3BUMDNAHI3Z2WDAB2FIOZEG
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DataCenterGym: A Physics-Grounded Simulator for Multi-Objective Data Center Scheduling

Nilavra Pathak, Nirmalya Roy, Samadrita Biswas

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

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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

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[1] Data centers carbon emissions at crossroads: An empirical study 2025
[2] Data centre energy use: Critical review of models and results 2025
[3] Mak- ing scheduling “cool 2005
[4] Large-scale cluster management at google with borg 2015
[5] Mesos: A platform for{Fine- Grained}resource sharing in the data center 2011
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

arxiv: 2604.15594 · arxiv_version: 2604.15594v1 · doi: 10.48550/arxiv.2604.15594 · pith_short_12: LOM3BUMDNAHI · pith_short_16: LOM3BUMDNAHI3Z2W · pith_short_8: LOM3BUMD
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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",
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