A decision-theoretic approach for prioritizing maintenance activities in organic computing systems

  • Organic Computing systems intended to solve real-world problems are usually equipped with various kinds of sensors and actuators in order to be able to interact with their surrounding environment. As any kind of physical hardware component, such sensors and actuators will fail after a usually unknown amount of time. Besides the obvious task of identifying or predicting hardware failures, an Organic Computing system will furthermore be responsible to assess if it is still able to function after a component breaks, as well as to plan maintenance or repair actions, which will most likely involve human repair workers. Within this work, three different approaches on how to prioritize such maintenance actions within the scope of an Organic Computing system are presented and evaluated.

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Author:Markus Görlich-BucherORCiDGND, Michael HeiderORCiDGND, Tobias Ciemala, Jörg HähnerORCiDGND
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/110318
Parent Title (English):Lecture Notes in Computer Science
Place of publication:Cham
Year of first Publication:2023
Release Date:2023/12/20
First Page:37
Last Page:47
Architecture of Computing Systems: 36th International Conference, ARCS 2023, Athens, Greece, June 13–15, 2023, Proceedings. Edited by Georgios Goumas, Sven Tomforde, Jürgen Brehm, Stefan Wildermann, Thilo Pionteck.
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