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Johannes Lex Fault-tolerance of Heterogeneous Distributed Mixed-criticality Real-time Systems
161 Seiten, Dissertation Universität Erlangen-Nürnberg (2025), Hardcover, B5
Fault tolerance is crucial for fully autonomous vehicles since there is no human driver to take over in case of a malfunction. These vehicles rely on complex, heterogeneous real-time systems that integrate both signal- and service-oriented hardware and software architectures. Typically, fault tolerance is ensured by incorporating redundant Electronic Control Units (ECUs) into the system. The objective of the presented thesis is a novel hypervisor-based fault tolerance approach for heterogeneous real-time systems (HyFAR), which is based on the largely unexplored concept of migrating software
in a highly heterogeneous real-time system using virtualization technology. Modern vehicles often contain multiple heterogeneous ECUs based on signal-oriented and service-oriented architectures. The HyFAR approach explores the utilization of those already available heterogeneous ECUs to achieve fault tolerance while minimizing the need for redundant hardware.
This work describes the setup of such vehicles and elaborates the holistic fault tolerance approach HyFAR, including timing models for the overall approach and each single step, supplemented with measurements. Furthermore, freedom from interference was examined and measured for various possible implementations.