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Classical decentralized architectures based on large networks of microprocessor-based Electronic Control Units (ECU), namely those used in self-driving cars and other highly-automated applications used in the automotive industry, are becoming more and more complex. These new, high computational power demand applications are constrained by limits on energy consumption, weight, and size of the embedded components. The adoption of new embedded centralized electrical/electronic (E/E) architectures based on dynamically reconfigurable hardware represents a new possibility to tackle these challenges. However, they also raise concerns and questions about their safety. Hence, an appropriate evaluation must be performed to guarantee that safety requirements resulting from an Automotive Safety Integrity Level (ASIL) according to the standard ISO 26262 are met. In this paper, a methodology for the evaluation of dynamically reconfigurable systems based on centralized architectures is presented.

Multicores, being the latest state-of-the-art technology, gain more and more importance in automotive and aerospace systems. This technology will not only be used in infotainment and non-safety-critical applications but will also be introduced in upcoming safety-critical systems. At the moment, various commercial off-the-shelf processors are available that are, however, not built for such applications. In order to ensure correct system behavior, online monitoring can be used for processors targeting infotainment or general purpose applications. The cores and other bus masters within the MPSoC compete for the exclusive use of shared resources like a memory controller. It is of high importance to provide guarantees of usage in such cases, e.g. in terms of access time and rates.