T-Part: Partitioning of Transactions for Forward-Pushing in Deterministic Database Systems
Summary: T-Part partitions transactions in deterministic DBs to handle unpredictable workloads. It models dependencies as a T-graph and forward-pushes writes to later transactions on other machines after commit, reducing remote-data stalls; prototype and experiments show gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shan-Hung Wu (National Tsing Hua University)
- 2. Tsai-Yu Feng (Appier)
- 3. Meng-Kai Liao (National Tsing Hua University)
- 4. Shao-Kan Pi (National Tsing Hua University)
- 5. Yu-Shan Lin (National Tsing Hua University)
BibTeX Citation
@inproceedings{wu_sigmod16,
title = {{T-Part: Partitioning of Transactions for Forward-Pushing in Deterministic Database Systems}},
author = {Wu, Shan-Hung and Feng, Tsai-Yu and Liao, Meng-Kai and Pi, Shao-Kan and Lin, Yu-Shan},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2915227},
url = {https://dl.acm.org/doi/10.1145/2882903.2915227},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,775 | SLOG: Serializable, Low-latency, Geo-replicated Transactions | 2019 | VLDB | 9.7870611e-05 |
| 6,476 | When Private Blockchain Meets Deterministic Database | 2023 | SIGMOD | 5.8686486e-05 |
| 7,049 | MgCrab: Transaction Crabbing for Live Migration in Deterministic Database Systems | 2019 | VLDB | 5.7177768e-05 |
| 7,683 | Don’t Look Back, Look into the Future: Prescient Data Partitioning and Migration for Deterministic Database Systems | 2021 | SIGMOD | 5.5681274e-05 |
| 10,798 | Wait and See: A Delayed Transactions Partitioning Approach in Deterministic Database Systems for Better Performance | 2025 | SIGMOD | 5.093636e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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