Abstract
The rising complexity of upcoming embedded computing systems cannot be managed by traditional methodologies. Hence, with Autonomic Computing and Organic Computing new paradigms of self-organizing systems have been introduced. The automotive sector as an application domain of embedded systems also has to face the challenge of growing complexity. Thus, in this paper we show a potential evolution of automotive electronic systems to (partly) self-organizing systems and identify the nowadays missing capabilities. We chose the infotainment domain for exemplarily demonstrating this evolution by introducing new enhancements for self-organization. These extensions are evaluated in a case study of a typical vehicle infotainment system based on the MOST (Media Oriented Systems Transport) technology. The implementation and evaluation show that the newly introduced techniques work well in a realistic scenario. Thereby, we validate that an evolution of present statically designed automotive electronic systems to self-organized systems is feasible.
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Weiss, G., Zeller, M., Eilers, D., Knorr, R. (2009). Towards Self-organization in Automotive Embedded Systems. In: González Nieto, J., Reif, W., Wang, G., Indulska, J. (eds) Autonomic and Trusted Computing. ATC 2009. Lecture Notes in Computer Science, vol 5586. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02704-8_4
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DOI: https://doi.org/10.1007/978-3-642-02704-8_4
Publisher Name: Springer, Berlin, Heidelberg
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