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Model-driven development of self-describing components for self-adaptive distributed embedded systems

 
: Weiß, Gereon; Becker, Klaus; Kamphausen, Benjamin; Radermacher, Ansgar; Gérard, Sébastian

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Postprint urn:nbn:de:0011-n-1859641 (377 KByte PDF)
MD5 Fingerprint: 1075c2d9b738ef835a06553e2e15b561
© 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: 1.12.2011


Biffl, S. ; Institute of Electrical and Electronics Engineers -IEEE-; European Organisation for Information Technology and Microelectronics -EUROMICRO-:
37th EUROMICRO Conference on Software Engineering and Advanced Applications, SEAA 2011. Proceedings : 30 August - 2 September 2011, Oulu, Finland
Los Alamitos, Calif.: IEEE Computer Society Press, 2011
ISBN: 978-1-4577-1027-8 (Print)
ISBN: 978-0-7695-4488-5
pp.477-484
Conference on Software Engineering and Advanced Applications (SEAA) <37, 2011, Oulu>
English
Conference Paper, Electronic Publication
Fraunhofer ESK ()
self-adaption; RT-describe; self-description; model-driven development; DynaSim

Abstract
Increasingly distributed embedded systems are deployed in complex scenarios and must be able to adapt to changing environments and internal system changes. Such self-adaptive embedded systems pose great advantages in terms of flexibility, resource utilization, energy efficiency and robustness. The realization of these systems require enhanced development methods to incorporate the adaption to the design. We introduce a novel concept for the model-driven development of self-adaptive embedded systems. The focus of our work is the definition and transfer of the information needed for the adaption runtime. This is preserved as so-called self-description of the components. We present our self-x profile, a modeling extension for describing the adaption, and the respective design flow with built-in transformations. Furthermore, we outline the applicability of our methodology in an automotive use case.

: http://publica.fraunhofer.de/documents/N-185964.html