Ziermann T, Salcic Z, Teich J (2013)
Publication Type: Conference contribution
Publication year: 2013
Publisher: Springer-verlag
Edited Volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
City/Town: New York, NY, USA
Pages Range: 159-170
Conference Proceedings Title: Proc. 26th International Conference on Architecture of Computing Systems
ISBN: 978-3-642-36423-5
DOI: 10.1007/978-3-642-36424-2_14
Designers of distributed embedded control systems face many design challenges related to change of system configuration, functionality and number of participating computing nodes, which affect the usage of the communication bus. The concept of self-adaptivity of participating nodes plays an important role in reducing design effort while guaranteeing high system performance. The dynamic offset adaptation algorithm (DynOAA) for adaptive message scheduling reduces average message response times in CAN-based systems with high bus loads. This technique has in previous work proven its benefit in simulation. However, it is still necessary to test the algorithm in a real physical environment. In this paper, we use FPGAs with their capability of performing rapid system prototyping. Our design space exploration shows that both pure software and pure hardware implementations are possible. However, parts of the software implementation require a significant amount of computation. As a result a mixed HW/SW implementation is proposed. © 2013 Springer-Verlag.
APA:
Ziermann, T., Salcic, Z., & Teich, J. (2013). HW/SW Tradeoffs for Dynamic Message Scheduling in Controller Area Network (CAN). In Proc. 26th International Conference on Architecture of Computing Systems (pp. 159-170). Prague, CZ: New York, NY, USA: Springer-verlag.
MLA:
Ziermann, Tobias, Zoran Salcic, and Jürgen Teich. "HW/SW Tradeoffs for Dynamic Message Scheduling in Controller Area Network (CAN)." Proceedings of the 26th International Conference on Architecture of Computing Systems (ARCS), Prague New York, NY, USA: Springer-verlag, 2013. 159-170.
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