XIA Yuanqing, WANG Chao, GAO Runze, ZHAN Yufeng, SUN Zhongqi, DAI Li, ZHAI Dihua. Progress and Challenges of Cloud-network-edge-end Collaborative Cloud Control[J]. INFORMATION AND CONTROL, 2024, 53(3): 273-286. DOI: 10.13976/j.cnki.xk.2024.4007
Citation: XIA Yuanqing, WANG Chao, GAO Runze, ZHAN Yufeng, SUN Zhongqi, DAI Li, ZHAI Dihua. Progress and Challenges of Cloud-network-edge-end Collaborative Cloud Control[J]. INFORMATION AND CONTROL, 2024, 53(3): 273-286. DOI: 10.13976/j.cnki.xk.2024.4007

Progress and Challenges of Cloud-network-edge-end Collaborative Cloud Control

  • To address the limitations of communication and computing resources in networked control systems and the challenge of ensuring real-time control of complex tasks through cloud control systems, the cloud-network-edge-end collaborative cloud control utilizes the capabilities of the cloud control layer, edge control layer, network layer, and device layer. This methodology enables interconnection, collaboration, and optimization, making it an ideal solution for controlling complex intelligent systems. In this regard, we provide comprehensive research on the cloud-network-edge-end collaborative cloud control architecture. First, we provide a brief introduction to the architecture components, followed by a summary of research on the cloud control system. Lastly, we introduce the cloud-network-edge-end collaborative cloud control architecture and its application, along with a discussion and prospection for future research.
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