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

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.

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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