Towards a General Framework for ML-based Self-tuning Databases

Thomas Schmied, Diego Didona, Andreas Döring +2

Machine learning (ML) methods have recently emerged as an effective way to perform automated parameter tuning of databases. State-of-the-art approaches include Bayesian optimizatio…