Pith Number

pith:TT72GQPI

pith:2026:TT72GQPIIVHFIUWM4GEP52XOSK

not attested not anchored not stored refs resolved

Sustainable Graph Analytics Workload Scheduling with Evolutionary Reinforcement Learning in Edge-Cloud Systems

A. Islam, C. Bash, D. Milojicic, H. Moore, M. Ghose, P. Ramicetty, S. Pasricha, S. Qi

A hybrid evolutionary reinforcement learning scheduler reduces SLA violations by up to 45 percent and carbon emissions by up to 12 percent for graph analytics in edge-cloud systems.

arxiv:2605.13489 v1 · 2026-05-13 · cs.DC

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\pithnumber{TT72GQPIIVHFIUWM4GEP52XOSK}

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Experimental results demonstrate that MERSEM outperforms the state-of-the-art with up to 45% SLA violation reductions and up to 12% carbon emission reductions.

C2weakest assumption

The simulation environment used for experiments accurately captures real-world dynamics of carbon intensity, resource heterogeneity, and workload arrival patterns in edge-cloud systems.

C3one line summary

MERSEM uses evolutionary reinforcement learning to allocate graph workloads in edge-cloud systems, reducing SLA violations by up to 45% and carbon emissions by up to 12% versus prior methods.

References

18 extracted · 18 resolved · 0 Pith anchors

[1] Alsharif et al 2025 · doi:10.1016/j.egyr

[2] In: Proceedings of the 18th IEEE/ACM International Conference on Utility and Cloud Com- puting 2026 · doi:10.1145/3773274.3774279

[3] A fast and elitist multiobjective genetic algorithm: NSGA-II 2002

[4] Montes de Oca, Thomas Stützle, and Marco Dorigo 2014 · doi:10.1109/tevc.2013.2281535

[5] Etemadi et al 2021 · doi:10.1007/s10586-021-03307-2

Receipt and verification

First computed	2026-05-18T02:44:41.207198Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9cffa341e8454e5452cce188feeaee92b0a2985fad7c1c88dcc651aef9964b67

Aliases

arxiv: 2605.13489 · arxiv_version: 2605.13489v1 · doi: 10.48550/arxiv.2605.13489 · pith_short_12: TT72GQPIIVHF · pith_short_16: TT72GQPIIVHFIUWM · pith_short_8: TT72GQPI

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/TT72GQPIIVHFIUWM4GEP52XOSK \
  | 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: 9cffa341e8454e5452cce188feeaee92b0a2985fad7c1c88dcc651aef9964b67

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ea5abf1ffee3fc368ca8841092d57cef39553cf19dcce8e28f2c14e87c4b8d87",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.DC",
    "submitted_at": "2026-05-13T13:15:11Z",
    "title_canon_sha256": "30f622741d6357566b86831cf5b647726649d5495a5b206e5df2494a201e9c83"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13489",
    "kind": "arxiv",
    "version": 1
  }
}