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Improving the fail-operational behavior of automotive applications by artificial DNA

机译:通过人工DNA提高汽车应用的故障运行行为

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Embedded systems are growing very complex because of the increasing chip integration density, larger number of chips in distributed applications, and demanding application fields, eg, in autonomous cars. Bio‐inspired techniques like self‐organization are a key feature to handle this complexity. In biology, the structure and organization of a system is coded in its DNA. We adapted this concept to embedded systems using an artificial DNA (ADNA). Based on the ADNA, the self‐organization mechanisms can build the system autonomously at run‐time providing a self‐building system. This property predestines the ADNA for the use in automotive applications because modern (autonomous) cars include several highly redundant processors (electronic control units (ECUs)). The ADNA can be used to reduce the number of ECUs in a car on the one hand and to make better use of the cars' redundant ECUs on the other hand. Our contribution in this paper is to evaluate the improvements possible due to the ADNA by analyzing the fail‐operational limits and failure probabilities in such scenarios. We also propose a simple graceful degradation scheme for the tasks to improve the system dependability of the cars. Finally, the usability of the concept is demonstrated by a practical evaluation.
机译:由于芯片集成密度的增加,分布式应用中的芯片数量增加,以及苛刻的应用领域,例如在自动车辆中,嵌入式系统越来越复杂。生物启发技术,如自组织,是处理这种复杂性的关键特征。在生物学中,系统的结构和组织在其DNA中编码。我们使用人工DNA(ADNA)改编了这种概念来嵌入系统。基于ADNA,自组织机制可以在提供自建筑系统的运行时自主构建系统。此属性预先在汽车应用中使用的ADNA,因为现代(自主)汽车包括多个高冗余处理器(电子控制单元(ECU))。 ADNA可以用来一方面用来减少汽车中的ECU的数量,另一方面更好地利用汽车的冗余欧洲风险。我们本文的贡献是通过在这种情况下分析故障运行限制和失败概率来评估由于adna而可能的改进。我们还提出了一种简单的优雅退化计划,以提高汽车的系统可靠性。最后,通过实际评估证明了该概念的可用性。

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