Edge-AI empowered Cyber-Physical Systems: A comprehensive review on performance analysis

Cyber-Physical Systems (CPS) are integral to the advancement of smart technologies, combining computational elements with physical processes. Edge computing has emerged as a pivotal enabler for CPS, addressing the latency, energy, accuracy, and bandwidth issues inherent in cloud-based solutions. This comprehensive survey examines the critical performance parameters of Edge-assisted Cyber-Physical Systems (EaCPS). The study explores performance metrics such as latency, energy efficiency, accuracy, scalability, security, and reliability. It highlights the interplay between these parameters and the operational efficiency of EaCPS. It primarily focuses on traditional methods and models used in CPS, examining their evolution and performance, particularly in the context of Edge computing. In addition, it evaluates the performance of various CPSs integrated with AI capabilities. The review also discusses current research trends, challenges, and future directions, providing a holistic understanding of the optimization strategies necessary to improve EaCPS performance.