QoS-Aware Multi-Armed Bandits
Machine Learning
2017-04-03 v1 Software Engineering
Abstract
Motivated by runtime verification of QoS requirements in self-adaptive and self-organizing systems that are able to reconfigure their structure and behavior in response to runtime data, we propose a QoS-aware variant of Thompson sampling for multi-armed bandits. It is applicable in settings where QoS satisfaction of an arm has to be ensured with high confidence efficiently, rather than finding the optimal arm while minimizing regret. Preliminary experimental results encourage further research in the field of QoS-aware decision making.
Keywords
Cite
@article{arxiv.1703.10669,
title = {QoS-Aware Multi-Armed Bandits},
author = {Lenz Belzner and Thomas Gabor},
journal= {arXiv preprint arXiv:1703.10669},
year = {2017}
}
Comments
Accepted at IEEE Workshop on Quality Assurance for Self-adaptive Self-organising Systems, FAS* 2016