A Novel Layered Architecture and Modular Design Framework for Next-gen Cyber Physical System

Cyber Physical System (CPS) is a complex interdisciplinary engineering system with amalgamation of physical-realm entities like machines, sensors, actuators and embedded devices with the cyber-realm system constituting of communication networks, Internet, and network-centric heterogeneous computing platforms like cloud and Fog/Edge computing. Further, with the recent advancements in the field of Internet of Things (IoT) and Machine-to-Machine (M2M) communication as enabling technologies; it is possible to design large scale CPS and deployment of application-specific sensordata acquisition and control systems. This has unfolded another technological dimension of huge data-centric subsystems: Big-Data and Artificial Intelligence (AI) and Machine Learning (ML) based application specific data analytics requirement for future-ready intelligent CPS also popularly referred as Cognitive CPS (CCPS). In this paper, we have proposed a novel four-layer architecture and their design framework with the vision of Next-generation Cyber Physical System (NG-CPS). Some major design attributes of each layer have been considered to formulate eight NG-CPS design goals with a modelling approach and suggested some major design aspects including modularity, scalability.