Design of self-adaptation in distributed embedded systems

Nowadays, complex computers are integrated in numerous devices and are deployed in diverse application areas, for example in the automotive, avionic, health-care, and industrial automation domain. These embedded systems are evolving towards complex interconnected and adaptive systems. They increasingly integrate more and more functionality and must function under varying conditions and in diverse situations. Therefore, distributed embedded systems become self-adaptive so that they can adjust to varying context situations. This poses new challenges for the development of these self-adaptive distributed embedded systems. Therefore, this thesis introduces a novel model-driven approach for designing self-adaptation of these systems. The presented approach is applied to the application domain of automotive Electrics / Electronics (E/E).