Quantitative Robustness – A Generalised Approach to Compare the Impact of Disturbances in Self-organising Systems

Jan Kantert, Sven Tomforde, Christian Müller-Schloer, Sarah Edenhofer, Bernard Sick

2017

Abstract

Organic Computing (OC) and Autonomic Computing (AC) systems are distinct from conventional systems through their ability to self-adapt and to self-organise. However, these properties are just means and not the end. What really makes OC and AC systems useful is their ability to survive in a real world, i.e. to recover from disturbances and attacks from the outside world. This property is called robustness. In this paper, we propose a metric to gauge robustness in order to be able to quantitatively compare the effectiveness of different self-organising and self-adaptive system designs with each other. In the following, we apply this metric to three experimental application scenarios and discuss their usefulness.

Paper Citation

in Harvard Style

Kantert J., Tomforde S., Müller-Schloer C., Edenhofer S. and Sick B. (2017). Quantitative Robustness – A Generalised Approach to Compare the Impact of Disturbances in Self-organising Systems . In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-219-6, pages 39-50. DOI: 10.5220/0006137300390050

in Bibtex Style

@conference{icaart17,
author={Jan Kantert and Sven Tomforde and Christian Müller-Schloer and Sarah Edenhofer and Bernard Sick},
title={Quantitative Robustness – A Generalised Approach to Compare the Impact of Disturbances in Self-organising Systems},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2017},
pages={39-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006137300390050},
isbn={978-989-758-219-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Quantitative Robustness – A Generalised Approach to Compare the Impact of Disturbances in Self-organising Systems
SN - 978-989-758-219-6
AU - Kantert J.
AU - Tomforde S.
AU - Müller-Schloer C.
AU - Edenhofer S.
AU - Sick B.
PY - 2017
SP - 39
EP - 50
DO - 10.5220/0006137300390050