An ever increasing number of configuration parameters are provided to system users. But
many users have used one configuration setting across different workloads, leaving …

To achieve high performance, recent research has shown that it is important to automatically
tune the configuration knobs present in database systems. However, as database systems …

Configurable software systems provide a multitude of configuration options to adjust and
optimize their functional and non-functional properties. For instance, to find the fastest …

This experimental study presents a number of issues that pose a challenge for practical
configuration tuning and its deployment in data analytics frameworks. These issues include …

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

Achieving cost and performance efficiency for cloud-hosted databases requires exploring a
large configuration space, including the parameters exposed by the database along with the …

Database management system (DBMS) configuration tuning is an essential aspect of any
data-intensive application effort. But this is historically a difficult task because DBMSs have …

Modern database management systems (DBMS) expose dozens of configurable knobs that
control their runtime behavior. Setting these knobs correctly for an application's workload …

High performance computing (HPC) applications, such as metagenomics and other big data
systems, need to store and analyze huge volumes of semi-structured data. Such …

Tuning configurations is essential for operating modern cloud systems, but the difficulty
arises from the cloud system's diverse workloads, large system scale, and vast parameter …