ReMiX: Resilience in Mixed Critical Systems of the Industrial Internet of Things

Abstract

The Internet of Things is making its way into all areas of industry. In intelligent automation, however, there are challenges in the area of resilience and dynamic self-organization with regard to changing requirements and resources. Within the scope of this project a methodology for resilient system architectures in intelligent automation will be developed. For this purpose, distributed resources are combined as a common virtual resource and organized according to the principles of mixed-criticality systems. Mixed-criticality describes an assignment of functions to resources based on their criticality according to the available resource contingents. Changes in these contingents due to failures or attacks as well as process changes require a reorganization of the system. This reorganization must be methodically designed at design time, so that the selected architecture demonstrably enables the required system properties even under degradation or failure of resources. The research results of this project will contribute to increased resilience of the system through new design methods for self-organizing communication, computing and control approaches. To this end, both a formal verification approach for maintaining critical properties under resource degradation will be developed, as well as an optimization of resilience in the design process by introducing virtual redundancy through mathematical correlation is considered.