Performance is arguably the most crucial attribute that reflects the quality of a configurable
software system. However, given the increasing scale and complexity of modern software …

The conference papers and full proceedings are available to registered attendees now and
will be available to everyone beginning Wednesday, July 14, 2021. Paper abstracts and …

As parallel applications become more complex, auto-tuning becomes more desirable,
challenging, and time-consuming. We propose, Bliss, a novel solution for auto-tuning …

Advanced video analytic systems, including scene classification and object detection, have
seen widespread success in various domains such as smart cities and autonomous …

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 …

The centralized architecture of Software-Defined Networking (SDN) reduces networking
complexity and improves network manageability by omitting the need for box-by-box …

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 …

Log-Structure Merge-tree (LSM) based Key-Value (KV) systems are widely deployed. A
widely acknowledged problem with LSM-KVs is write stalls, which refers to sudden …

Finding good cloud configurations for deploying a single distributed system is already a
challenging task, and it becomes substantially harder when a data analytics cluster is …

In a permissioned blockchain, performance dictates its development, which is substantially
influenced by its parameters. However, research on auto-tuning for better performance has …