NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments

Summary: NeutronCloud aligns per-worker GNN workloads to fluctuating cloud resources by dynamically tuning a hybrid local-vs-remote dependency retrieval ratio. It uses dependency-aware partial-reduce to reuse historical embeddings and skip stragglers, achieving 1.8–4.4× speedups. (summarized by gpt-5-mini on Mar 13 2026)

Paper ID: 14541
Venue: VLDB
Year: 2026
Pagerank: 5.093636e-05
Overall Rank: 10,596 | 27.31%
DOI: 10.14778/3772181.3772186

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Authors

1. Mingyi Cao (Northeastern University)
2. Chunyu Cao (Northeastern University)
3. Yanfeng Zhang (Northeastern University)
4. Zhenbo Fu (Northeastern University)
5. Xin Ai (Northeastern University)
6. Qiange Wang (Northeastern University)
7. Yu Gu (Northeastern University)
8. Ge Yu (Northeastern University)

BibTeX Citation

@article{cao_vldb26,
        title = {{NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments}},
        author = {Cao, Mingyi and Cao, Chunyu and Zhang, Yanfeng and Fu, Zhenbo and Ai, Xin and Wang, Qiange and Gu, Yu and Yu, Ge},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {1},
        pages = {56--69},
        doi = {10.14778/3772181.3772186},
        url = {https://doi.org/10.14778/3772181.3772186},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
223	AliGraph: A Comprehensive Graph Neural Network Platform	2019	VLDB	0.00024182473
1,048	AGL: A Scalable System for Industrial-purpose Graph Machine Learning	2020	VLDB	0.00012433693
1,132	SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks	2022	VLDB	0.00012041292
1,863	ByteGNN: Efficient Graph Neural Network Training at Large Scale	2022	VLDB	9.5950349e-05
2,640	Scalable and Efficient Full-Graph GNN Training for Large Graphs	2023	SIGMOD	8.3074486e-05
2,695	NeutronStar: Distributed GNN Training with Hybrid Dependency Management	2022	SIGMOD	8.2468134e-05
4,956	Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce	2021	SIGMOD	6.4290135e-05
6,806	HongTu: Scalable Full-Graph GNN Training on Multiple GPUs	2023	SIGMOD	5.7673207e-05
8,101	SDP_PIPE: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training	2023	VLDB	5.4870581e-05
10,323	NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters	2026	SIGMOD	5.093636e-05

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