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

IF 12.7 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Computer Science Review Pub Date : 2025-06-26 DOI:10.1016/j.cosrev.2025.100769

Raj Kumar Baliyar Singh, K Hemant Kumar Reddy

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引用次数: 0

Abstract

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.

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边缘人工智能支持的网络物理系统：性能分析的全面回顾

信息物理系统（CPS）是智能技术进步的组成部分，将计算元素与物理过程相结合。边缘计算已经成为CPS的关键推动者，解决了基于云的解决方案固有的延迟、能源、准确性和带宽问题。这项全面的调查研究了边缘辅助网络物理系统（EaCPS）的关键性能参数。该研究探讨了延迟、能效、准确性、可扩展性、安全性和可靠性等性能指标。强调了这些参数与EaCPS运行效率之间的相互作用。它主要关注CPS中使用的传统方法和模型，检查它们的演变和性能，特别是在边缘计算的背景下。此外，它还评估了与AI功能集成的各种cps的性能。本文还讨论了当前的研究趋势、挑战和未来的发展方向，为提高EaCPS性能所需的优化策略提供了一个全面的了解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Science Review Computer Science-General Computer Science

CiteScore

32.70

自引率

0.00%

发文量

审稿时长

51 days

期刊介绍： Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.