Predictable and Runtime-Adaptable Network-On-Chip for Mixed-Critical Real-Time Systems
Predictable and Runtime-Adaptable Network-On-Chip for Mixed-critical Real-time Systems Sebastian Tobuschat Predictable and Runtime-Adaptable Network-On-Chip for Mixed-critical Real-time Systems Dissertation an der Technischen Universität Braunschweig, Fakultät für Elektrotechnik, Informationstechnik, Physik Predictable and Runtime-Adaptable Network-On-Chip for Mixed-critical Real-time Systems Von der Fakultät für Elektrotechnik, Informationstechnik, Physik der Technischen Universität Carolo-Wilhelmina zu Braunschweig zur Erlangung des Grades eines Doktors der Ingenieurwissenschaften (Dr.-Ing.) genehmigte Dissertation von Sebastian Tobuschat aus Pinneberg Eingereicht am: 12.12.2018 Mündliche Prüfung am: 07.02.2019 1. Referent: Prof. Dr.-Ing. Rolf Ernst 2. Referent: Prof. Dr.-Ing. Dr. h. c. Jürgen Becker Druckjahr: 2019 Copyright c 2019 SEBASTIAN TOBUSCHAT ALL RIGHTS RESERVED Abstract The industry of safety-critical and dependable embedded systems calls for even cheaper, high performance platforms that allow flexibility and an effi- cient verification of safety and real-time requirements. In this sense, flexibil- ity denotes the ability to (online) adapt a system to changes (e.g. changing environment, application dynamics, errors) and the reuse-ability for different use cases. To cope with the increasing complexity of interconnected func- tions and to reduce the cost and power consumption of the system, multicore systems are used to efficiently integrate different processing units in the same chip. Networks-on-chip (NoCs), as a modular interconnect, are used as a promising solution for such multiprocessor systems on chip (MPSoCs), due to their scalability and performance. Hence, future NoC designs must face the aforementioned challenges. For safety-critical systems, a major goal is the avoidance of hazards.
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