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Modeling AUTOSAR Implementations in Simulink

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Book cover Modelling Foundations and Applications (ECMFA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10890))

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Abstract

AUTOSAR (AUTomotive Open System ARchitecture) is an open industry standard for the automotive sector. It defines the automotive three-layered software architecture. One layer is application layer, where functional behaviours are encapsulated in Software Components (SW-Cs). Inside SW-Cs, a set of runnable entities represent the internal behaviours and are realized as a set of tasks.To address AUTOSAR’s lack of support for modelling behaviours of runnables, other modelling languages such as Simulink are employed. Simulink simulations assume tasks are completed in zero execution time, while real executions require a finite execution time. This time mismatch can result in failures of analyzing an unexpected runtime behaviour during the simulation phase. This paper extends the Simulink environment to accommodate the timing relations of tasks during simulation. We present a Simulink block that can schedule tasks with a non-zero simulation time. This enables more realistic analysis during the model development stage.

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Notes

  1. 1.

    http://spectrum.ieee.org/transportation/systems/this-car-runs-on-code.

  2. 2.

    https://www.mathworks.com/products/embedded-coder.html.

  3. 3.

    https://www.mathworks.com/products/simulink-coder.html.

References

  1. AUTOSAR: AUTOSAR development partnership (2018). http://www.autosar.org

  2. Cremona, F., Morelli, M., Di Natale, M.: TRES: a modular representation of schedulers, tasks, and messages to control simulations in simulink. In: Proceedings of the 30th Annual ACM Symposium on Applied Computing, pp. 1940–1947 (2015)

    Google Scholar 

  3. Derler, P., Naderlinger, A., Pree, W., Resmerita, S., Templ, J.: Simulation of LET models in simulink and ptolemy. In: Choppy, C., Sokolsky, O. (eds.) Monterey Workshop 2008. LNCS, vol. 6028, pp. 83–92. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-12566-9_5

    Chapter  Google Scholar 

  4. Ferrari, A., Di Natale, M., Gentile, G., Reggiani, G., Gai, P.: Time and memory tradeoffs in the implementation of AUTOSAR components. In: Proceedings of 2009 Design, Automation & Test in Europe Conference & Exhibition, pp. 864–869. IEEE, April 2009

    Google Scholar 

  5. Henriksson, D., Cervin, A., Årzén, K.E.: TrueTime: real-time control system simulation with MATLAB/Simulink. In: Proceedings of the Nordic MATLAB Conference (2003)

    Google Scholar 

  6. Henzinger, T.A., Horowitz, B., Kirsch, C.M.: Giotto: a time-triggered language for embedded programming. In: Henzinger, T.A., Kirsch, C.M. (eds.) EMSOFT 2001. LNCS, vol. 2211, pp. 166–184. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-45449-7_12

    Chapter  MATH  Google Scholar 

  7. Sha, L., Rajkumar, R., Lehoczky, J.P.: Priority inheritance protocols: an approach to real-time synchronization. IEEE Trans. Comput. 30(9), 1175–1185 (1990)

    Article  MathSciNet  Google Scholar 

  8. Lehoczky, J., Sha, L., Ding, Y.: The rate monotonic scheduling algorithm: exact characterization and average case behavior. In: Proceedings of Real-Time Systems Symposium, pp. 0–5 (1989)

    Google Scholar 

  9. Liu, C.L., Layland, J.W.: Scheduling algorithms for multiprogramming in a hard- real-time environment scheduling algorithms for multiprogramming. J. Assoc. Comput. Mach. 20(1), 46–61 (1973)

    Article  MathSciNet  Google Scholar 

  10. MathWorks: Developing S-Functions, R2017b (2017). http://www.mathworks.com

  11. MathWorks: Simulink User’s Guide, R2017b (2017). http://www.mathworks.com

  12. MathWorks: Stateflow User’s Guide, R2017b (2017). http://www.mathworks.com

  13. Naderlinger, A.: Simulating preemptive scheduling with timing-aware blocks in Simulink. In: Proceedings of Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 758–763. IEEE, March 2017

    Google Scholar 

  14. Naderlinger, A., Templ, J., Pree, W.: Simulating real-time software components based on logical execution time. In: Proceedings of the 2009 Summer Computer Simulation Conference, SCSC 2009, Vista, CA, Society for Modeling & Simulation International, pp. 148–155 (2009)

    Google Scholar 

  15. The AUTOSAR Consortium: Applying Simulink to AUTOSAR, R3.1 (2006)

    Google Scholar 

  16. The AUTOSAR Consortium: AUTOSAR Methodology, R4.3 (2018)

    Google Scholar 

  17. The AUTOSAR Consortium: The AUTOSAR Standard, R4.3 (2018)

    Google Scholar 

  18. Zeng, H., Di Natale, M.: Mechanisms for guaranteeing data consistency and flow preservation in AUTOSAR software on multi-core platforms. In: SIES 2011–6th IEEE International Symposium on Industrial Embedded Systems, Conference Proceedings, pp. 140–149. IEEE, June 2011

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Queen’s University, Kingston, Canada

    Jian Chen & Thomas R. Dean

  2. Department of Computer Science, Ryerson University, Toronto, Canada

    Manar H. Alalfi

  3. General Motors R&D, Warren, MI, USA

    S. Ramesh

Authors
  1. Jian Chen
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  2. Manar H. Alalfi
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  3. Thomas R. Dean
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  4. S. Ramesh
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Corresponding author

Correspondence to Jian Chen .

Editor information

Editors and Affiliations

  1. University of L'Aquila, L'Aquila, Italy

    Alfonso Pierantonio

  2. Ikerlan, Arrasate-Mondragón, Spain

    Salvador Trujillo

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Chen, J., Alalfi, M.H., Dean, T.R., Ramesh, S. (2018). Modeling AUTOSAR Implementations in Simulink. In: Pierantonio, A., Trujillo, S. (eds) Modelling Foundations and Applications. ECMFA 2018. Lecture Notes in Computer Science(), vol 10890. Springer, Cham. https://doi.org/10.1007/978-3-319-92997-2_18

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  • DOI: https://doi.org/10.1007/978-3-319-92997-2_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92996-5

  • Online ISBN: 978-3-319-92997-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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