A Demonstration of the OtterTune Automatic Database Management System Tuning Service
Summary: Demonstrates OtterTune, an automatic DBMS knob-tuning service that transfers knowledge from prior tuning jobs via machine-learning models. It iteratively recommends configurations, matching or surpassing human and existing-tool performance. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bohan Zhang (Carnegie Mellon University)
- 2. Dana Van Aken (Carnegie Mellon University)
- 3. Justin Wang (Carnegie Mellon University)
- 4. Tao Dai (Carnegie Mellon University)
- 5. Shuli Jiang (Carnegie Mellon University)
- 6. Jacky Lao (Carnegie Mellon University)
- 7. Siyuan Sheng (Carnegie Mellon University)
- 8. Andrew Pavlo (Carnegie Mellon University)
- 9. Geoffrey J. Gordon (Carnegie Mellon University)
BibTeX Citation
@article{zhang_vldb18,
title = {{A Demonstration of the OtterTune Automatic Database Management System Tuning Service}},
author = {Zhang, Bohan and Van Aken, Dana and Wang, Justin and Dai, Tao and Jiang, Shuli and Lao, Jacky and Sheng, Siyuan and Pavlo, Andrew and Gordon, Geoffrey J.},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {1910--1913},
doi = {10.14778/3229863.3236222},
url = {https://doi.org/10.14778/3229863.3236222},
year = {2018}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 86 | Automatic Database Management System Tuning Through Large-scale Machine Learning | 2017 | SIGMOD | 0.00035316107 |
| 226 | OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases | 2014 | VLDB | 0.00024027277 |
| 347 | Tuning Database Configuration Parameters with iTuned | 2009 | VLDB | 0.00020651582 |
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