State-of-the-art automobiles contain up to 70 microcontrollers. About 35% of all failures are caused by the electronic systems, either hardware or software. Furthermore the stockkeeping of spare parts is a cost intensive issue. On the other hand, microcontrollers evolve so fast that the used microcontrollers cannot be replaced by newer controller generations without any side effects.AUTOSAR [4,5] is a first step to overcome these limitations in the design and maintenance of cars. Based on the AUTOSAR architecture we propose an organic middleware, which adds self-configuration and self-healing capabilities. We implemented a simulator to evaluate the self-configuration and self-healing and we present the evaluation results for different network sizes and a failure rate of up to 60%. Our results show an excellent performance for the self-configuration in terms of the amount of messages and that the self-healing is able to recover from failures as long as enough resources are available.


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    Title :

    Self-Configuration and Self-Healing in AUTOSAR


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    Asia Pacific Automotive Engineering Conference ; 2007



    Publication date :

    2007-08-05




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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