# QoS-Aware Multi-Armed Bandits

## TL;DR

This paper introduces a QoS-aware variant of Thompson sampling for multi-armed bandits, focusing on ensuring QoS satisfaction with high confidence rather than solely minimizing regret, suitable for self-adaptive systems.

## Contribution

It proposes a novel QoS-aware Thompson sampling method tailored for systems requiring high-confidence QoS guarantees, advancing decision-making in self-adaptive environments.

## Key findings

- Preliminary experiments show promising results.
- The method effectively ensures QoS satisfaction.
- Encourages further research in QoS-aware decision making.

## 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.