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Fault Tolerance in Heterogeneous Automotive Real-time Systems

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Echtzeit 2021

Part of the book series: Informatik aktuell ((INFORMAT))

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Zusammenfassung

Recent developments in the area of autonomous driving lead to an exponential growth of software complexity in the automotive industry. To cope with those increasing demands on computational power and software architectures, new developments in the area of electronic control units (ECU) emerged, like the ability to partition AUTomotive Open System ARchitecture (AUTOSAR) Classic Software with Software Clusters (SWCL) and the introduction of embedded high performance computers in the Electric-/Electronic-Architecture (E-/E-Architecture). At the same time the demand for high availability of critical functionalities rises with the degree of automatization. This paper presents a new flexible and resource-saving fail operational strategy, which increases the availability of a system by instrumenting SWCL and embedded high performance computers.

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Literatur

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Author information

Authors and Affiliations

  1. Vitesco Technologies, Regensburg, Deutschland

    Johannes Lex & Ralph Mader

  2. TH Ingolstadt, Ingolstadt, Deutschland

    Ulrich Margull

  3. Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Deutschland

    Dietmar Fey

Authors
  1. Johannes Lex
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  2. Ulrich Margull
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  3. Dietmar Fey
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  4. Ralph Mader
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Corresponding author

Correspondence to Johannes Lex .

Editor information

Editors and Affiliations

  1. Lehrstuhl für Kommunikationsnetze, FernUniversität in Hagen, Hagen, Deutschland

    Herwig Unger

  2. FernUniversität in Hagen, Aschheim, Deutschland

    Marcel Schaible

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© 2022 Der/die Herausgeber bzw. der/die Autor(en), exklusiv lizenziert durch Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Lex, J., Margull, U., Fey, D., Mader, R. (2022). Fault Tolerance in Heterogeneous Automotive Real-time Systems. In: Unger, H., Schaible, M. (eds) Echtzeit 2021. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-37751-9_9

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