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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)
MD5 Fingerprint: 1ea3a5e3732c47e2206b14e4f3cf8469
© 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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
pp.79-88
International Conference on Self-Adaptive and Self Organizing Systems (SASO) <5, 2011, Ann Arbor/Mich.>
English
Conference Paper, Electronic Publication
Fraunhofer ESK ()
runtime adaptation; networked embedded system; automotive constraints; allocation

Abstract
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.

: http://publica.fraunhofer.de/documents/N-183107.html