LATuner: An LLM-Enhanced Database Tuning System Based on Adaptive Surrogate Model

Author:

Fan Chongjiong,Pan Zhicheng,Sun Wenwen,Yang Chengcheng,Chen Wei-Neng

Publisher

Springer Nature Switzerland

Reference33 articles.

1. Cai, B., et al.: HUNTER: an online cloud database hybrid tuning system for personalized requirements. In: SIGMOD, pp. 646–659 (2022)

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3. Storm, A.J., Garcia-Arellano, C., Lightstone, S.S., Diao, Y., Surendra, M.: Adaptive self-tuning memory in DB2. In: PVLDB, pp. 1081–1092 (2006)

4. Zhu, Y., et al.: BestConfig: tapping the performance potential of systems via automatic configuration tuning. In: SoCC, pp. 338–350 (2017)

5. Duan, S., Thummala, V., Babu, S.: Tuning database configuration parameters with iTuned. PLVDB 2, 1246–1257 (2009)

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