DBPA: A Benchmark for Transactional Database Performance Anomalies
Summary: DBPA: OLTP transactional anomaly benchmark enabling reproducible generation and ML-ready data. Nine root causes with reproducible procedures; compound anomalies via a generative method; large normal/anomalous monitoring data for ML diagnosis. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shiyue Huang (Peking University)
- 2. Ziwei Wang (Peking University)
- 3. Xinyi Zhang (Peking University)
- 4. Yaofeng Tu (ZTE Corporation)
- 5. Zhongliang Li (ZTE Corporation)
- 6. Bin Cui (Peking University)
BibTeX Citation
@inproceedings{huang_sigmod23,
title = {{DBPA: A Benchmark for Transactional Database Performance Anomalies}},
author = {Huang, Shiyue and Wang, Ziwei and Zhang, Xinyi and Tu, Yaofeng and Li, Zhongliang and Cui, Bin},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588926},
url = {https://dl.acm.org/doi/10.1145/3588926},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,920 | D-Bot: Database Diagnosis System using Large Language Models | 2024 | VLDB | 9.4846185e-05 |
| 5,171 | An Efficient Transfer Learning Based Configuration Adviser for Database Tuning | 2024 | VLDB | 6.3347618e-05 |
| 11,049 | DBPecker: A Graph-Based Compound Anomaly Diagnosis System for Distributed RDBMSs | 2025 | VLDB | 5.093636e-05 |
| 11,331 | DB-MAGS: Multi-Anomaly Data Generation System for Transactional Databases | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 28 of 28 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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