Resilient Reactive Systems based on Runtime Semantic Models

IoT, smart cities, cyber-physical systems and sensor networks represent new classes of highly dynamic, complex systems. The behavior of these systems should be designed in order to react to external changes, i.e. they are reactive and context-aware, and also to internal ones to be able to reconfigure themselves for handling possible anomalies. These requirements ask for a runtime representation of application logic and its context, enriched with variation points that associate different behaviors to possible changes. In this paper, we extend our previous work on the design of reactive, context-aware systems with the support for resilience. According to our model, sensors and actuators can be physical, virtual or logical ones; the last two can be semantically described and dynamically configured to react with a proper behavior to context changes (e.g. faults). The proposal is validated with a use case aimed at designing an edge node for smart buildings dedicated to cultural heritage preservation.