Software-Defined Modeling Method of Cyber-Physical System Driven by Big Data

摘要

The way humans interact with the physical world has been changed by the cyber-physical system (CPS) emergence. However, as an embedded system, CPS has limitations in its processing and storage of data. In addition, with the advancement of technology, the scale of the system progresses to extend and the data generation increases exponentially, the original vehicular cyber-physical system(VCPS) can no longer meet the current needs. In order to enhance the data analysis and processing capabilities of the system, this paper proposes a five-layer VCPS that including Application Layer, Cloud Computing Layer, Control Layer, Roadside Unit Layer and Vehicle Unit Layer. Besides, using Architecture Analysis & Design Language (AADL) performs software-defined modeling and overall security analysis to verify the effectiveness of this modeling method. The architecture model deeply integrates big data technology and software definition ideas, has a good effect on upgrading the traditional VCPS low level of automation, insufficient on data processing and storage capacity.