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Monitoring of an Artificial DNA in Dynamic Environments

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Analysis, Estimations, and Applications of Embedded Systems (IESS 2019)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 576))

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Abstract

In the last decade, bio-inspired techniques like self-organization and emergence have been in the focus of several research projects to deal with the challenge to develop, to configure and to maintain highly distributed and embedded systems. In biology the structure and organization of a system is coded in its DNA, and several dynamic control flows are regulated by the hormone system. We adapted these concepts to embedded systems using an artificial DNA (ADNA) and an artificial hormone system (AHS). Based on these concepts, highly reliable, robust and flexible systems can be created. These properties predestine the ADNA and AHS for the use in future automotive applications.

We showed in recent publications several examples for the use of the ADNA/AHS approach dealing with automotive applications running on the processors of a single distributed system of processors. We also showed how to adapt the ADNA/AHS approach so that different systems using the ADNA can merge at run-time if these systems come in communication range and form a new system including the ADNAs of both systems. In this contribution, we present and evaluate a way to monitor the ADNA and its tasks. This can be used to realize paywalls or security mechanisms for the ADNA.

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Notes

  1. 1.

    Therefore, the ADNAs of the different systems needs to be tagged to distinguish between tasks of different ADNAs. This is indicated in Fig. 5 by the indices of the ADNAs.

References

  1. Brinkschulte, U.: An artificial DNA for self-descripting and self-building embedded real-time systems. Concurrency Comput. Pract. Experience 28(14), 3711–3729 (2016)

    Article  Google Scholar 

  2. Brinkschulte, U.: Prototypic implementation and evaluation of an artificial DNA for self-describing and self-building embedded systems. In: 19th IEEE International Symposium on Real-time Computing (ISORC 2016). New York, UK, 17–20 May 2016

    Google Scholar 

  3. Brinkschulte, U.: Prototypic implementation and evaluation of an artificial DNA for self-descripting and self-building embedded systems. EURASIP J. Embed. Syst. 2017(1), 1–16 (2017). https://doi.org/10.1186/s13639-016-0066-2

    Article  MathSciNet  Google Scholar 

  4. Brinkschulte, U., Pacher, M., Muller-Schloer, C. (eds.): Proceedings of the workshop on embedded self-organizing systems, San Jose, USA (2013)

    Google Scholar 

  5. Brinkschulte, U., Pacher, M., Renteln, A.: An artificial hormone system for self-organizing real-time task allocation in organic middleware. In: Organic Computing. UCS, pp. 261–283. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-77657-4_12

    Chapter  Google Scholar 

  6. German Federal Ministry of Education and Research: Projekt AutoKonf. http://autokonf.de/. Accessed 23 May 2019

  7. Yi, C.H., Kwon, K., Jeon, J.W.: Method of improved hardware redundancy for automotive system, pp. 204–207 (2015)

    Google Scholar 

  8. Kounev, S., Kephart, J.O., Milenkoski, A., Zhu, X.: Self-aware Computing Systems, 1st edn. Springer Publishing Company, Incorporated, Cham (2017)

    Book  Google Scholar 

  9. Lee, E., Neuendorffer, S., Wirthlin, M.: Actor-oriented design of embedded hardware and software systems. J. Circuits, Syst. Comput. 12, 231–260 (2003)

    Article  Google Scholar 

  10. Maurer, M., Gerdes, J.C., Winner, B.L.H.: Autonomous Driving - Technical Legal and Social Aspects. Springer, Berlin (2016)

    Google Scholar 

  11. Nicolescu, G., Mosterman, P.J.: Model-Based Design for Embedded Systems. CRC Press, Boca Raton (2010)

    Google Scholar 

  12. Pacher, M., Brinkschulte, U.: Towards an artificial DNA for the use in dynamic environments. In: 22nd IEEE International Symposium on Real-Time Computing (ISORC 2019), Valencia, Spain, May 2019

    Google Scholar 

  13. Reif, W., et al. (eds.): Trustworthy Open Self-Organising Systems. AS, Springer, Cham (2016). https://doi.org/10.1007/978-3-319-29201-4

    Book  Google Scholar 

  14. Sangiovanni-Vincentelli, A., Martin, G.: Platform-based design and software design methodology for embedded systems. In: IEEE Design and Test, vol. 18, no. 6, pp. 23–33 (2001)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Johann Wolfgang Goethe-Universität, 60629, Frankfurt am Main, Germany

    Mathias Pacher & Uwe Brinkschulte

Authors
  1. Mathias Pacher
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  2. Uwe Brinkschulte
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Corresponding author

Correspondence to Mathias Pacher .

Editor information

Editors and Affiliations

  1. Federal University of Technology – Parana – UTFPR, Curitiba, Brazil

    Marco A. Wehrmeister

  2. Federal University of Rio Grande do Norte – UFRN, Natal, Brazil

    Márcio Kreutz

  3. Federal University of Rio Grande do Sul – UFRGS, Porto Alegre, Brazil

    Marcelo Götz

  4. University of Applied Sciences Hamm-Lippstadt, Hamm, Germany

    Stefan Henkler

  5. University of Amsterdam, Amsterdam, The Netherlands

    Andy D. Pimentel

  6. University of Applied Sciences Hamm-Lippstadt, Hamm, Germany

    Achim Rettberg

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Pacher, M., Brinkschulte, U. (2023). Monitoring of an Artificial DNA in Dynamic Environments. In: Wehrmeister, M.A., Kreutz, M., Götz, M., Henkler, S., Pimentel, A.D., Rettberg, A. (eds) Analysis, Estimations, and Applications of Embedded Systems. IESS 2019. IFIP Advances in Information and Communication Technology, vol 576. Springer, Cham. https://doi.org/10.1007/978-3-031-26500-6_14

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  • DOI: https://doi.org/10.1007/978-3-031-26500-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-26499-3

  • Online ISBN: 978-3-031-26500-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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