A wide spectrum of design and decision problems, including parameter tuning, A/B testing
and drug design, intrinsically are instances of black-box optimization. Bayesian optimization …

The performance optimization of database systems has been widely studied for years. From
the perspective of the operation and maintenance personnel, it mainly includes three topics …

Modern database management systems (DBMS) expose hundreds of configurable knobs to
control system behaviours. Determining the appropriate values for these knobs to improve …

Knob tuning plays an important role in database optimization, which tunes knob settings to
optimize the database performance or improve resource utilization. However, there are …

Recently, using automatic configuration tuning to improve the performance of modern
database management systems (DBMSs) has attracted increasing interest from the …

Machine/deep learning models have been widely adopted to predict the configuration
performance of software systems. However, a crucial yet unaddressed challenge is how to …

In the wake of rapid advancements in artificial intelligence (AI), we stand on the brink of a
transformative leap in data systems. The imminent fusion of AI and DB (AI× DB) promises a …

To ease the expensive measurements during configuration tuning, it is natural to build a
surrogate model as the replacement of the system, and thereby the configuration …

The distributed data analytic system--Spark is a common choice for processing massive
volumes of heterogeneous data, while it is challenging to tune its parameters to achieve …

In recent years, a wide spectrum of database tuning systems have emerged to automatically
optimize database performance. However, these systems require a significant number of …