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Towards self-adaptation in real-time networked systems: Efficient solving of system constraints for automotive embedded systems

: Zeller, Marc; Prehofer, Christian; Weiss, Gereon; Eilers, Dirk; Knorr, Rudi

Postprint urn:nbn:de:0011-n-1831078 (442 KByte PDF)
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Created on: 18.10.2011

Institute of Electrical and Electronics Engineers -IEEE-:
SASO 2011, Fifth IEEE International Conference on Self-Adaptive and Self-Organizing Systems : Ann Arbor, Michigan, USA, October 3 - October 7, 2011
New York, NY: IEEE, 2011
ISBN: 978-0-7695-4542-4
ISBN: 978-1-4577-1614-0
ISBN: 1-4577-1614-3
International Conference on Self-Adaptive and Self Organizing Systems (SASO) <5, 2011, Ann Arbor/Mich.>
Conference Paper, Electronic Publication
Fraunhofer ESK ()
runtime adaptation; networked embedded system; automotive constraints; allocation

While there has been considerable work on self-adaptive systems, applying these techniques to networked, embedded systems poses several new problems due to the requirements of embedded real-time systems. Among others, we have to consider memory and hardware limitations, as well as task schedulability and timing dependencies. The goal of this paper is to find a correct placement of software components efficiently, even though most of these individual constraints are highly intractable (NP-complete). This is a prerequisite for runtime adaption in such domains and can be used for system optimization, extension or failure handling.