2605003949
  • Open Access
  • Review

Transition of Architecture of Industrial Cyber-Physical Systems (iCPS) from Hierarchy to Cloud-Edge-Device

  • Yifan Wang 1,   
  • Yulong Ding 2,   
  • Shuanghua Yang 2,*

Received: 04 Jan 2026 | Revised: 09 May 2026 | Accepted: 15 May 2026 | Published: 03 Jun 2026

Abstract

Industrial cyber-physical systems (iCPS) are central to smart manufacturing and Industry 4.0. By bringing physical processes together with computation, communication, and control, they make it possible for factories and machines to behave more intelligently and in real time. And as the pressure grows for systems that are more scalable, more capable, and faster, iCPS architectures are increasingly shifting toward distributed cloud–edge–device paradigms. In this paper, we provide a systematic survey of that architectural transition. We begin by introducing what iCPS are, along with their key components and a general conceptual model. Then we review and compare traditional hierarchical architectures, focusing on where they tend to break down—openness, interoperability, latency, and system integration. After that, we analyze and compare emerging cloud–edge–device architectures across multiple dimensions, including architectural structure, scalability, latency, and security. Finally, we discuss the main challenges and open research issues, aiming to align with current industrial needs and to offer useful guidance for designing next generation iCPS architectures.

References 

  • 1.

    Plakhotnikov, D.P.; Kotova, E. Design and Analysis of Cyber-Physical Systems. In Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), Moscow, Russia, 26–29 January 2021.

  • 2.

    Wang, Y.; Cao, Y.; Yang, S.H. Unified Industrial Cyber-Physical Systems Modelling and Performance Analysis under Cyber-to-Physical Attacks. In Proceedings of the 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Kuching, Malaysia, 6–10 October 2024.

  • 3.

    Sendler, U. Beherrschung der Industriellen Komplexität mit SysLM (Systems Lifecycle Management). In Industrie 4.0; Springer: Berlin/Heidelberg, Germany, 2013; pp. 1–19.

  • 4.

    Lou, S.; Hu, Z.; Zhang, Y.; et al. Human-Cyber-Physical System for Industry 5.0: A Review from a Human-Centric Perspective. IEEE Trans. Autom. Sci. Eng. 2025, 22, 494–511.

  • 5.

    Lee, J.; Bagheri, B.; Kao, H. A Cyber-Physical Systems Architecture for Industry 4.0-Based Manufacturing Systems. Manuf. Lett. 2015, 3, 18–23.

  • 6.

    ISA. Enterprise-Control System Integration—Part 1: Models and Terminology; ANSI/ISA-95.00.01-2025; International Society of Automation: Research Triangle Park, NC, USA, 2025.

  • 7.

    Jiang, J.R. An Improved Cyber-Physical Systems Architecture for Industry 4.0 Smart Factories. Adv. Mech. Eng. 2018, 10, 1687814018784192.

  • 8.

    Zezulka, F.; Marcon, P.; Vesely, I.; et al. Industry 4.0—An Introduction in the Phenomenon. IFAC-PapersOnLine 2016, 49, 8–12.

  • 9.

    Pivoto, D.G.; De Almeida, L.; da Rosa Righi, R.; et al. Cyber-Physical Systems Architectures for Industrial Internet of Things Applications in Industry 4.0: A Literature Review. J. Manuf. Syst. 2021, 58, 176–192.

  • 10.

    Ma, S.; Li, J.; Li, J.P.; et al. Cloud-integrated Cyber–physical Systems: Reliability, Performance and Power Consumption with Shared Servers and Parallelized Services. Front. Eng. Manage. 2025, 12, 272–290.

  • 11.

    Reano, C.; Riera, J.V.; Romero, V.; et al. A Cloud–edge Computing Architecture for Monitoring Protective Equipment. J. Cloud Comput. 2024, 13, 82. https://doi.org/10.1186/s13677-024-00649-1.

  • 12.

    Andriulo, F.C.; Fiore, M.; Mongiello, M.; et al. Edge Computing and Cloud Computing for Internet of Things: A Review. Informatics 2024, 11, 71. https://doi.org/10.3390/informatics11040071.

  • 13.

    Ortiz, G.; Zouai, M.; Kazar, O.; et al. Atmosphere: Context and Situational-aware Collaborative IoT Architecture for Edge–Fog–Cloud Computing. Comput. Stand. Interfaces 2022, 79, 103550. https://doi.org/10.1016/j.csi.2021.103550.

  • 14.

    Sbaragli, A.; Ghafoorpoor, P.Y.; Thiede, S.; et al. A Cyber-Physical Architecture to Monitor Human-centric Reconfigurable Manufacturing Systems. J. Intell. Manuf. 2026, 37, 549–571.

  • 15.

    Al-Hawawreh, M.; Hossain, M.S. Digital Twin-driven Secured Edge–private Cloud IIoT Framework. J. Netw. Comput. Appl. 2024, 226, 103888. https://doi.org/10.1016/j.jnca.2024.103888.

  • 16.

    Jin, J.; Pang, Z.; Kua, J.; et al. Cloud–Fog Automation: The New Paradigm Towards Autonomous Industrial Cyber-Physical Systems. IEEE J. Sel. Areas Commun. 2025, 43, 2917–2937.

  • 17.

    Fraga-Lamas, P.; Barros, D.; Lopes, S.I.; et al. Mist and Edge Computing Cyber-Physical Human-centred Systems for Industry 5.0: A Cost-Effective IoT Thermal Imaging Safety System. Sensors 2022, 22, 8500. https://doi.org/10.3390/s22218500.

  • 18.

    Hu, B.; Zhao, M.; Cao, Z.; et al. Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems; IEEE Press/Wiley: Piscataway, NJ, USA, 2025.

  • 19.

    Kuchuk, H.; Malokhvii, E. Integration of IoT with Cloud, Fog, and Computing: A Review. Adv. Inf. Syst. 2024, 8, 65–78. https://doi.org/10.20998/2522-9052.2024.2.08.

  • 20.

    Surabhi, P.K. Distributed Edge-Cloud Healthcare Architecture: A Technical Overview. J. Comput. Sci. Technol. Stud. 2025, 7, 701–711. https://doi.org/10.32996/jcsts.2025.7.4.83.

  • 21.

    Fernando, N.; Shrestha, S.; Loke, S.W.; et al. On Edge-Fog-Cloud Collaboration and Reaping Its Benefits: A Heterogeneous Multi-Tier Edge Computing Architecture. Future Internet 2025, 17, 22. https://doi.org/10.3390/fi17010022.

  • 22.

    Carvalho, G.; Cabral, B.; Pereira, V.; et al. Edge Computing: Current Trends, Research Challenges and Future Directions. Computing 2021, 103, 993–1023. https://doi.org/10.1007/s00607-020-00896-5.

  • 23.

    White, D. Edge to Cloud: Understanding New Industrial Architectures. Control Engineering. Available online: https://controleng.com/edge-to-cloud-understanding-new-industrial-architectures/ (accessed on 1 January 2026).

  • 24.

    Tong, Y.; Jia, X.; Qiao, H.; et al. Cloud-Edge-Device Integration Based on Edge Computing. In Proceedings of the 2022 3rd International Conference on Computer Science and Management Technology (ICCSMT), Shanghai, China, 18–20 November 2022.

  • 25.

    Industrial Internet Industry Alliance. AI Achieves “New Industrial Network Architecture” Officially Released. Available online: https://www.aii-alliance.org/index/c189/n5224.html (accessed on 1 January 2026).

  • 26.

    Huawei Cloud Computing Technology Co., Ltd. New Industrial Internet Platform Reference Architecture. Available online: https://res-static.hc-cdn.cn/cloudbu-site/china/zh-cn/HuaweiCloudStack/HCS_IIPlat.pdf (accessed on 1 January 2026).

  • 27.

    Chai, T.-Y. Development Directions of Industrial Artificial Intelligence. Acta Autom. Sin. 2020, 46, 2005–2012. https://doi.org/10.16383/j.aas.c200796.

  • 28.

    Yang, T.; Yi, X.; Lu, S.; et al. Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence. Engineering 2021, 7, 1224–1230.

  • 29.

    Bartusiak, R.D.; Bitar, S.; DeBari, D.; et al. Open Process Automation: A Standards-Based, Open, Secure, Interoperable Process Control Architecture. Control Eng. Pract. 2022, 121, 105034.

  • 30.

    Klettner, C.; Tauchnitz, T.; Epple, U.; et al. Namur Open Architecture: Die Namur-Pyramide Wird Geöffnet für Industrie 4.0. Atp Mag. 2017, 59, 20–37.

Share this article:
How to Cite
Wang, Y.; Ding, Y.; Yang, S. Transition of Architecture of Industrial Cyber-Physical Systems (iCPS) from Hierarchy to Cloud-Edge-Device. Journal of Artificial Intelligence for Automation 2026, 1 (2), 9. https://doi.org/10.53941/jaia.2026.100009.
RIS
BibTex
Copyright & License
article copyright Image
Copyright (c) 2026 by the authors.