Modeling Concurrency Control as a Learnable Function
Summary: NeurCC learns concurrency-control decisions as a state-to-action function, encoded in an efficient in-database lookup table. Bayesian optimization plus graph-reduction search enables rapid adaptation to workload drift and consistently higher throughput than five state-of-the-art CC schemes. (summarized by gpt-5.6-luna on Jul 26 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hexiang Pan (National University of Singapore)
- 2. Shaofeng Cai (National University of Singapore)
- 3. Tien Tuan Anh Dinh (Deakin University)
- 4. Yuncheng Wu (Renmin University of China)
- 5. Yeow Meng Chee (Singapore Institute of Technology)
- 6. Gang Chen (Zhejiang University)
- 7. Beng Chin Ooi (Zhejiang University)
BibTeX Citation
@inproceedings{pan_sigmod26,
title = {{Modeling Concurrency Control as a Learnable Function}},
author = {Pan, Hexiang and Cai, Shaofeng and Dinh, Tien Tuan Anh and Wu, Yuncheng and Chee, Yeow Meng and Chen, Gang and Ooi, Beng Chin},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802088},
url = {https://dl.acm.org/doi/10.1145/3802088},
year = {2026}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,272 | NeurBench: A Benchmark Suite for Learned Database Components with Drift Modeling: [Experiments & Analysis] | 2026 | SIGMOD | 5.093636e-05 |
| 10,348 | Brook-2PL: Tolerating High Contention Workloads with A Deadlock-Free Two-Phase Locking Protocol | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 31 of 31 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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