AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning
Summary: AgentTune: an agent-based LLM framework decomposing DB knob tuning into four specialized collaborating agents. Reconstructs valid knob ranges, prunes the search space and recommends safe configs to reduce replays and avoid invalid/crashing settings. (summarized by gpt-5-mini on Feb 11 2026)
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Authors
- 1. Yiyan Li (Renmin University of China)
- 2. Haoyang Li (Renmin University of China)
- 3. Jing Zhang (Renmin University of China)
- 4. Renata Borovica-Gajic (University of Melbourne)
- 5. Shuai Wang (ByteDance)
- 6. Tieying Zhang (ByteDance)
- 7. Jianjun Chen (ByteDance)
- 8. Rui Shi (ByteDance)
- 9. Cuiping Li (Renmin University of China)
- 10. Hong Chen (Renmin University of China)
BibTeX Citation
@inproceedings{li_sigmod26,
title = {{AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning}},
author = {Li, Yiyan and Li, Haoyang and Zhang, Jing and Borovica-Gajic, Renata and Wang, Shuai and Zhang, Tieying and Chen, Jianjun and Shi, Rui and Li, Cuiping and Chen, Hong},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3769758},
url = {https://dl.acm.org/doi/10.1145/3769758},
year = {2026}
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