Semantically Enabled Design for Edge Cyber Physical Systems

Abstract

Sensor and computational diversity and redundancy enable radically different implementations of the same functionality in the field and edge domains of cyber-physical systems (CPSs). This diversity and redundancy will also become cornerstones of reconfiguration-based resilience in CPSs, but to truly exploit them, the various provided and required services must be matched semantically. We present the prototype of an integrated, semantically enabled design toolset for data flow-centric CPS systems. A data stream graph DSL based on the W3C SOSA/SSN ontologies serves for high-level specification; semantically enabled function allocation in the Stardog knowledge graph platform creates high-level deployment models, exported in the TOSCA format. Based on the data flow semantics, implementation artifacts for the TOSCA model are automatically generated. These constitute Kubernetes containers for stream processing, and OMG DDS or Hyperledger Fabric for data stream graph nodes.