Audio-visual Cues for Cloud Service Monitoring

David Bermbach, Jacob Eberhardt

2017

Abstract

When monitoring their systems’ states, DevOps engineers and operations teams alike, today, have to choose whether they want to dedicate their full attention to a visual dashboard showing monitoring results or whether they want to rely on threshold- or algorithm-based alarms which always come with false positive and false negative signals. In this work, we propose an alternative approach which translates a stream of cloud monitoring data into a continuous, normalized stream of score changes. Based on the score level, we propose to gradually change environment factors, e.g., music output or ambient lighting. We do this with the goal of enabling developers to subconsciously become aware of changes in monitoring data while dedicating their full attention to their primary task. We evaluate this approach through our proof-of-concept implementation AudioCues, which gradually adds dissonances to music output, and an empirical study with said prototype.

Paper Citation

in Harvard Style

Bermbach D. and Eberhardt J. (2017). Audio-visual Cues for Cloud Service Monitoring . In Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-243-1, pages 467-474. DOI: 10.5220/0006301804670474

in Bibtex Style

@conference{closer17,
author={David Bermbach and Jacob Eberhardt},
title={Audio-visual Cues for Cloud Service Monitoring},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2017},
pages={467-474},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006301804670474},
isbn={978-989-758-243-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Audio-visual Cues for Cloud Service Monitoring
SN - 978-989-758-243-1
AU - Bermbach D.
AU - Eberhardt J.
PY - 2017
SP - 467
EP - 474
DO - 10.5220/0006301804670474