Preprint Open access
CATune: Structural Constraint-Aware Bayesian Optimization for DBMS Configuration Tuning
Modern DBMSs expose hundreds of configuration knobs, resulting in a high-dimensional and heterogeneous search space that makes automated tuning costly. Existing ML-based tuning systems typically treat the configuration domain as box-constrained and rely on workload feedback to implicitly capture inter-knob relationship …