Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs
Summary: Autonomous commit exploits NVMe SSD parallelism to achieve high throughput with low-latency durable commits. It uses small-batch log writes and parallel acknowledgment to cut logging I/O and avoid single-thread delays, enabling scalable durability. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Lam-Duy Nguyen (Technical University of Munich)
- 2. Adnan Alhomssi (Friedrich-Alexander University Erlangen-Nuremberg; RelationalAI)
- 3. Tobias Ziegler (Technical University of Munich)
- 4. Viktor Leis (Technical University of Munich)
BibTeX Citation
@inproceedings{nguyen_sigmod25,
title = {{Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs}},
author = {Nguyen, Lam-Duy and Alhomssi, Adnan and Ziegler, Tobias and Leis, Viktor},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725328},
url = {https://dl.acm.org/doi/10.1145/3725328},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,906 | High-Performance DBMSs with io_uring: When and How to Use It | 2026 | VLDB | 5.1103839e-05 |
| 10,669 | Predictive Translation: High-Performance Buffer Management Without the Trade-Offs | 2026 | SIGMOD | 4.9793485e-05 |
| 10,725 | How to Write to SSDs | 2026 | VLDB | 4.9793485e-05 |
| 10,833 | BtrLog: Low-Latency Logging for Cloud Database Systems | 2026 | VLDB | 4.9793485e-05 |
| 11,360 | SSD-iq: Uncovering the Hidden Side of SSD Performance | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 30 of 30 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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