Adaptive Service-Oriented Architectures for Cyber Physical Systems

Abstract

Service-oriented architecture (SOA) for Cyber PhysicalSystems (CPS) can be implemented through the abstractionof sensing and actuation capabilities of devices as microservicesand providing data processing and decision-making services athigher levels. However, specific to CPS, the critical requirementof adaptivity must be taken into account so that thearchitectures can autonomously handle the dynamic changes inthe devices and their environment making them transparent tothe applications. Towards this, we implement the well-knownMAPE-K (Monitor, Analyze, Plan, Act, using stored Knowledge)reference architecture from autonomic computing, with the corePlan function powered by AI planning techniques. The proof ofconcept prototype is built upon our earlier works: InteropAdapt, a middleware for interoperability of control actions between theapplication layer and the device layer, and HINC, an informationmodel that harmonizes IoT resources spanning devices, networkfunctions and cloud resources. We illustrate our ideas via realisticexamples in the building automation domain.