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Quantitative robustness – a generalised approach to compare the impact of disturbances in self-organising systems

  • 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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Metadaten
Author:Jan Kantert, Sven TomfordeGND, Christian Müller-Schloer, Sarah Edenhofer, Bernard Sick
URN:urn:nbn:de:bvb:384-opus4-1200432
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/120043
ISBN:978-989-758-219-6OPAC
Parent Title (English):Proceedings of the 9th International Conference on Agents and Artificial Intelligence (ICAART 2017), February 24-26, 2017, Porto, Portugal, volume 2
Publisher:SciTePress
Place of publication:Setúbal
Editor:Jaap van den Herik, Ana Paula Rocha, Joaquim Filipe
Type:Conference Proceeding
Language:English
Year of first Publication:2017
Publishing Institution:Universität Augsburg
Release Date:2025/03/12
First Page:39
Last Page:50
DOI:https://doi.org/10.5220/0006137300390050
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Organic Computing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):License LogoCC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)