IEEE

Scalable Machine Learning Feedback System for Adaptive Database Index Tuning Using Random Forest and Multi-Layer Perceptron Models

Abstract: The increasing volumes of data used in contemporary applications have highlighted the necessity of database management systems (DBMS) that are effective in supporting high volumes of ...
Microsoft

Evaluating the Practical Effectiveness of LLM-Driven Index Tuning with Microsoft Database Tuning Advisor

Index tuning is critical for the performance of modern database systems. Industrial index tuners, such as the Database Tuning Advisor (DTA) developed for Microsoft SQL Server, rely on the”what-if”API ...
IEEE

The Lightweight Optimization Techniques for Knobs Tuning of Database System Using Evolution Strategy

Abstract: Tuning the knobs of database system is a critical technique for enhancing database performance. Traditional tuning methods heavily rely on the manual works of database administrators (DBAs), ...