IVaM: Implicit Variant Modeling and Management for Automotive Embedded Systems

Conference contribution


Publication Details

Author(s): Graf S, Glaß M, Wintermann D, Teich J, Lauer C
Title edited volumes: 2013 International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2013
Publisher: IEEE Press
Publishing place: New York, NY, USA
Publication year: 2013
Conference Proceedings Title: Proc. International Conference on Hardware/Software Codesign and System Synthesis
Pages range: 10


Abstract


In this paper, we propose a graph-based approach for the modeling and efficient analysis of functional variants of a car's electric and electronic (E/E) architecture functionality by combining local technical expert knowledge with global business knowledge. Starting with a variants system specification including a set of task graphs, linear constraints on binary variables are specified for their alternative selection as well as the selection of groups of alternatives called application groups. These constraints may stem from a certain domain knowledge, e. g., entertainment or power train domain, or global constraints. The typically vast space of resulting possible combinations of different selections of alternative behaviors will be termed variant space and those satisfying the set of formulated constraints valid variants. An important result of this paper is that the set of variants, and especially the set of valid variants, do not need to be modeled or stored explicitly but rather implicitly. Nevertheless do we show that using state-of-the-art PB solver techniques, we may determine the set of valid variants very efficiently. Each of these valid variants may subsequently be used as a candidate for design space exploration (DSE) in order to optimize also the mapping of the corresponding task graph functionalities to a final optimized E/E architecture. A real-world case study is provided to demonstrate the capabilities and efficiency of the presented approach on implicit variant modeling and analysis. © 2013 IEEE.



FAU Authors / FAU Editors

Glaß, Michael Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Graf, Sebastian
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Teich, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


External institutions with authors

Audi AG


How to cite

APA:
Graf, S., Glaß, M., Wintermann, D., Teich, J., & Lauer, C. (2013). IVaM: Implicit Variant Modeling and Management for Automotive Embedded Systems. In Proc. International Conference on Hardware/Software Codesign and System Synthesis (pp. 10). Montreal, QC, CA: New York, NY, USA: IEEE Press.

MLA:
Graf, Sebastian, et al. "IVaM: Implicit Variant Modeling and Management for Automotive Embedded Systems." Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Montreal, QC New York, NY, USA: IEEE Press, 2013. 10.

BibTeX: 

Last updated on 2018-01-09 at 07:10