Tuneful
Last updated on
Nov 28, 2020

Tuneful is an extension for Spark which optimizes workload configurations starting from a zero-knowledge setting. The more workloads a cluster executes, the better it becomes at executing them. In order to achieve this, we leverage Multi Task Gaussian Process, Similarity Analysis and Significance Analysis.

Thomas Pasquier
Assistant Professor
My research interests include provenance, operating systems, distributed systems and intrusion detection.
Publications
The execution of distributed data processing workloads (such as those running on top of Hadoop or Spark) in cloud environments presents a unique opportunity to explore multiple trade-offs between …
A Fekry,
L Carata,
T Pasquier,
Andrew Rice,
Andy Hopper