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 …

Configuration knobs of database systems are essential to achieve high throughput and low
latency. Recently, automatic tuning systems using machine learning methods (ML) have …

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

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 …

Recently using machine learning (ML) based techniques to optimize the performance of
modern database management systems (DBMSs) has attracted intensive interest from both …

The microservice architecture is an architectural style for designing applications that
supports a collection of fine-grained and loosely-coupled services, called microservices …

Selecting the right resources for big data analytics jobs is hard because of the wide variety of
configuration options like machine type and cluster size. As poor choices can have a …

One of the key challenges for data analytics deployment is configuration tuning. The existing
approaches for configuration tuning are expensive and overlook the dynamic characteristics …