Poster: Model-Based Adaptation to Extreme Physical Environments: A Case Study on Mixed-Criticality Industrial Ethernet

Industry-strength embedded systems have to meet rigorous application-specific requirements for operating environments. Such requirements are becoming increasingly challenging due to the growing system complexity. Existing works typically focus on reliability driven design optimizations to improve the system robustness. Our work addresses the problem from another perspective by adaptively adjusting its service capability according to a model reflecting the interaction between the embedded system and the environments. This paper proposes a service capability model to capture the criticality of various services. A model-based adaption mechanism is designed to automatically identify the maximum allowed service capability under the current physical environment. A case study was performed on Industrial Ethernet switches to validate its effectiveness on adaptation to high and low temperatures. Experimental results demonstrate the potential of our approach to improve system reliability under extreme physical environments.