Wait and See: A Delayed Transactions Partitioning Approach in Deterministic Database Systems for Better Performance
Summary: DelayPart's wait-and-see strategy for deterministic batch processing reduces cross-partition work by using transaction similarities. Partitioning as a k-cut with an LSH forest to approximate, delaying allocations for batch-level gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuan Sui (Northeastern University)
- 2. Xiaochun Yang (Northeastern University)
- 3. Bin Wang (Northeastern University)
- 4. Yujie Zhang (Northeastern University)
- 5. Baihua Zheng (Singapore Management University)
BibTeX Citation
@inproceedings{sui_sigmod25,
title = {{Wait and See: A Delayed Transactions Partitioning Approach in Deterministic Database Systems for Better Performance}},
author = {Sui, Yuan and Yang, Xiaochun and Wang, Bin and Zhang, Yujie and Zheng, Baihua},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725422},
url = {https://dl.acm.org/doi/10.1145/3725422},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,847 | Remora: Scale-out Deterministic Execution for Smart Contracts | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 27 of 27 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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