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Optimizing the task allocation step for multi-core processors within autosar

  • We present a model-based optimization approach for the task allocation problem in embedded multi-core systems. The information therefore is obtained from a system description in AUTOSAR and runtime measurements of the runnables in hardware traces. Based on this an initial software partitioning of runnables to tasks is created. We then use a genetic algorithm to create and evaluate solutions to the task allocation problem. Each solution is hereby evaluated using a discrete event-based simulation, which allows the evaluation with regard to real-time properties, resource consumption and data-communication overhead. The significance of our approach is then shown in a case-study. There, we optimize the task allocation of an embedded system, whose complexity is comparable to that of an actual system, on a multi-core processor. Finally, the results of the optimization are transferred to an ECU Configuration Description to enable further development in compliance with the AUTOSAR methodology.

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Metadaten
Author:Andreas Sailer, Stefan Schmidhuber, Michael Deubzer, Martin Alfranseder, Matthias Mucha, Jürgen MottokORCiDGND
URL / DOI:https://ieeexplore.ieee.org/document/6636524
Parent Title (English):2013 International Conference on Applied Electronics, IEEE, Pilsen, Czech Republic
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2013
Release Date:2021/03/01
Tag:AUTOSAR; Goodness-of-fit; Multi-Core; Multi-Objective Optimization; Task Allocation
Institutes:Fakultät Elektro- und Informationstechnik
Fakultät Elektro- und Informationstechnik / Laboratory for Safe and Secure Systems (LAS3)
research focus:Digitalisierung