Abstract
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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Görlich-Bucher, M., Heider, M., Ciemala, T., Hähner, J. (2023). A Decision-Theoretic Approach for Prioritizing Maintenance Activities in Organic Computing Systems. In: Goumas, G., Tomforde, S., Brehm, J., Wildermann, S., Pionteck, T. (eds) Architecture of Computing Systems. ARCS 2023. Lecture Notes in Computer Science, vol 13949. Springer, Cham. https://doi.org/10.1007/978-3-031-42785-5_3
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