RushMon: Real-time Isolation Anomalies Monitoring
Summary: RushMon: first real-time isolation anomalies monitor for high-throughput, low-isolation systems. It detects anomalies by counting cycles in the dependency graph, delivering ~1000x faster reporting with <1% overhead and enabling on-the-fly mitigation of incorrect results. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zechao Shang (University of Chicago)
- 2. Jeffrey Xu Yu (Chinese University of Hong Kong)
- 3. Aaron J. Elmore (University of Chicago)
BibTeX Citation
@inproceedings{shang_sigmod18,
title = {{RushMon: Real-time Isolation Anomalies Monitoring}},
author = {Shang, Zechao and Yu, Jeffrey Xu and Elmore, Aaron J.},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3196932},
url = {https://dl.acm.org/doi/10.1145/3183713.3196932},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,869 | Epoch-based Commit and Replication in Distributed OLTP Databases | 2021 | VLDB | 6.4709867e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 19 | A Critique of ANSI SQL Isolation Levels | 1995 | SIGMOD | 0.00058720861 |
| 473 | Staring into the Abyss: An Evaluation of Concurrency Control with One Thousand Cores | 2015 | VLDB | 0.00017900942 |
| 3,789 | Husky: Towards a More Efficient and Expressive Distributed Computing Framework | 2016 | VLDB | 7.1240627e-05 |
| 3,940 | Quantifying Isolation Anomalies | 2009 | VLDB | 7.0080239e-05 |
| 4,297 | Graph Analytics Through Fine-Grained Parallelism | 2016 | SIGMOD | 6.7770261e-05 |
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