Service-oriented reference model for cyber-physical systems

Cyber-physical systems;Simulation;Service-oriented computing;Model-driven development;Smart grid

Tariq, Muhammad Umer ; Wolf, Marilyn Electrical and Computer Engineering Grijalva, Santiago Egerstedt, Magnus Riley, George Feron, Eric ; Wolf, Marilyn

University:Georgia Institute of Technology

Department:Electrical and Computer Engineering

关键词: Cyber-physical systems;    Simulation;    Service-oriented computing;    Model-driven development;    Smart grid;   

Others  :  https://smartech.gatech.edu/bitstream/1853/58559/1/TARIQ-DISSERTATION-2016.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

This dissertation has formalized a service-oriented computing (SOC) based approach to cyber-physical systems (CPS) in the form of a service-oriented CPS reference model. The proposed reference model extends the traditional SOC paradigm for handling hard real-time CPS aspects by introducing resource-aware service deployment and quality-of-service (QoS)-aware service operation phases along with support for the following formal guarantees: 1) functional equivalence between a CPS design specification and the corresponding service-based CPS field deployment and 2) non-interference between the co-deployed CPS services from the perspective of their timing performance. As a result, the proposed CPS reference model enables a provably-correct process for converting a new CPS application from a CPS design specification to a service-based CPS deployment in the field without affecting the timing performance of already deployed CPS applications or disrupting the operation of already deployed CPS applications for system upgrade. Therefore, unlike the traditional task-based reference model from the domains of automotive and avionics, the proposed service-oriented CPS reference model enables disruption-free incremental system deployment and reconfiguration that are fundamental requirements of the emerging safety-critical but wide-area and "always-online" CPS application domains such as smart grid and vehicular networks.