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- W2270329847 abstract "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 selfhealing 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." @default.
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- W2270329847 date "2007-08-05" @default.
- W2270329847 modified "2023-09-25" @default.
- W2270329847 title "Self-Configuration and Self-Healing in AUTOSAR" @default.
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- W2270329847 doi "https://doi.org/10.4271/2007-01-3507" @default.
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