Dynamic Configuration for Distributed Systems
IEEE Transactions on Software Engineering
Architecture-based runtime software evolution
Proceedings of the 20th international conference on Software engineering
Self-organising software architectures for distributed systems
WOSS '02 Proceedings of the first workshop on Self-healing systems
The Vision of Autonomic Computing
Computer
Measuring the Performance of Schedulability Tests
Real-Time Systems
Hierarchical model-based autonomic control of software systems
DEAS '05 Proceedings of the 2005 workshop on Design and evolution of autonomic application software
Towards requirements-driven autonomic systems design
DEAS '05 Proceedings of the 2005 workshop on Design and evolution of autonomic application software
Self-Managed Systems: an Architectural Challenge
FOSE '07 2007 Future of Software Engineering
A Two-Layered Management Architecture for Building Adaptive Real-Time Systems
SEUS '08 Proceedings of the 6th IFIP WG 10.2 international workshop on Software Technologies for Embedded and Ubiquitous Systems
Software Engineering for Self-Adaptive Systems: A Research Roadmap
Software Engineering for Self-Adaptive Systems
Engineering Self-Adaptive Systems through Feedback Loops
Software Engineering for Self-Adaptive Systems
Towards Self-organization in Automotive Embedded Systems
ATC '09 Proceedings of the 6th International Conference on Autonomic and Trusted Computing
A Multi-layered Control Architecture for Self-Management in Adaptive Automotive Systems
ICAIS '09 Proceedings of the 2009 International Conference on Adaptive and Intelligent Systems
An approach for providing dependable self-adaptation in distributed embedded systems
Proceedings of the 2011 ACM Symposium on Applied Computing
SASO '11 Proceedings of the 2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems
Safe deployment for reconfigurable cyber-physical systems
Proceedings of the 18th international doctoral symposium on Components and architecture
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We present an approach for self-adaptation in automotive embedded systems using a hierarchical, multi-layered control approach. We model automotive systems as a set of constraints and define a hierarchy of control loops based on different criteria. Adaptations are performed at first locally on a lower layer of the architecture. If this fails due to the restricted scope of the control cycle, the next higher layer is in charge of finding a suitable adaptation. We compare different options regarding responsibility split in multilayered control in a self-healing scenario with a setup adopted from automotive in-vehicle networks. We show that a multi-layer control approach has clear performance benefits over a central control, even though all layers work on the same set of constraints. Furthermore, we show that a responsibility split with respect to network topology is preferable over a functional split.