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English Information

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Authors
# Name
1 Lucas Massena(lucasfermas2701@gmail.com)
2 Ana Almeida(ana.almeida@ime.uerj.br)

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Reference
# Reference
1 Almeida, A. C., Campos, M. L. M., Baião, F., Lifschitz, S., de Oliveira, R. P., and Schwabe, D. (2019). An ontological perspective for database tuning heuristics. In International Conference on Conceptual Modeling, pages 240–254. Springer.
2 Almeida, A. C., Haeusler, E. H., Lifschitz, S., de Oliveira, R. P., and Schwabe, D. (2018). Outer-tuning: sintonia fina automática baseada em ontologia. In SBBD Companion, pages 29–34.
3 Almeida, A. C. B. d. (2013). Outer-Tuning: Framework para apoiar a sintonia fina de banco de dados. PhD thesis, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, Brasil. Orientador: Sergio Lifschitz.
4 Bruno, N. (2011). Automated physical database design and tuning. CRC Press.
5 Giannakouris, V. and Trummer, I. (2025). λ-tune: Harnessing large language models for automated database system tuning. Proceedings of the ACM on Management of Data, 3(1):1–26.
6 Guarino, N. (1998). Formal ontology in information systems: Proceedings of the first international conference (FOIS’98), June 6-8, Trento, Italy, volume 46. IOS press.
7 Lao, J., Wang, Y., Li, Y., Wang, J., Zhang, Y., Cheng, Z., Chen, W., Tang, M., and Wang, J. (2025). Gptuner: An llm-based database tuning system. ACM SIGMOD Record, 54(1):101–110.
8 Perciliano, L. d. S. S., dos Santos, V., Baiao, F., Haeusler, E. H., Lifschitz, S., and Almeida, A. C. (2021). Inferencing relational database tuning actions with onDBTuning ontology. In Simpósio Brasileiro de Banco de Dados (SBBD), pages 157–168. SBC.
9 Shanahan, M. (2024). Talking about large language models. Communications of the ACM, 67(2):68–79.
10 Shasha, D. and Bonnet, P. (2002). Database Tuning: Principles, Experiments and Troubleshooting Techniques, volume 33. Morgan Kaufmann, 1st edition.
11 Trummer, I. (2022). Db-bert: a database tuning tool that "reads the manual". In Proceedings of the 2022 international conference on management of data, pages 190–203.
12 Van Aken, D., Yang, D., Brillard, S., Fiorino, A., Zhang, B., Bilien, C., and Pavlo, A. (2021). An inquiry into machine learning-based automatic configuration tuning services on real-world database management systems. Proceedings of the VLDB Endowment, 14(7):1241–1253.
13 Zhang, B., Van Aken, D., Wang, J., Dai, T., Jiang, S., Lao, J., Sheng, S., Pavlo, A., and Gordon, G. J. (2018). A demonstration of the ottertune automatic database management system tuning service. Proceedings of the VLDB Endowment, 11(12):1910–1913.
14 Zhao, W. X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., Min, Y., Zhang, B., Zhang, J., Dong, Z., et al. (2023). A survey of large language models. arXiv preprint arXiv:2303.18223, 1(2):1–124.
15 Zhou, X., Li, G., Sun, Z., Liu, Z., Chen, W., Wu, J., Liu, J., Feng, R., and Zeng, G. (2024). D-bot: Database diagnosis system using large language models. Proc. VLDB Endow., 17(10):2514–2527.