Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3637494.3638724acmotherconferencesArticle/Chapter ViewAbstractPublication PagescecctConference Proceedingsconference-collections
research-article

Overview of Research on Cloud-Edge-End Collaboration Technology of Industrial Control System

Published: 05 February 2024 Publication History

Abstract

With the development and construction of new technologies, the existing centralized data processing mode of ICS is limited by the lack of storage resources and computing power, and cannot meet the needs of massive data processing and frequent interaction between devices, which makes the ICS cloud-edge-end collaboration technology receive more and more attention. Based on this, this paper combs the concept of ICS cloud-edge-end collaboration, introduces the network architecture of ICS cloud-edge-end collaboration, and analyzes the interaction mode and key support technologies of ICS cloud-edge-end collaboration. By summarizing the current research situation of ICS cloud-edge-end collaboration technology, the future development is prospected.

References

[1]
Liang L, Lu J, Tang R, Task Scheduling Strategy for Industrial Control Network based on Cloud-Edge-End Fusion Framework[C]//Journal of Physics: Conference Series. IOP Publishing, 2022, 2405(1): 012016.
[2]
Wang M, Xu C, Lin Y, A Distributed Sensor System Based on Cloud-Edge-End Network for Industrial Internet of Things[J]. Future Internet, 2023, 15(5): 171.
[3]
Li H, Dou C, Yue D, End-Edge-Cloud Collaboration Based False Data Injection Attack Detection in Distribution Networks[J]. IEEE Transactions on Industrial Informatics, 2023.
[4]
Li Y, Shen X, Wang Y, Application-Driven Data Management Framework for Wind Farms by Cloud-Edge-End Collaboration[C]//2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2022: 1689-1695.
[5]
Zhang K, Huang W, Hou X, A fault diagnosis and visualization method for high-speed train based on edge and cloud collaboration[J]. Applied Sciences, 2021, 11(3): 1251.
[6]
Wu X, You L, Wu R, Management and Control of Load Clusters for Ancillary Services Using Internet of Electric Loads Based on Cloud–Edge–End Distributed Computing[J]. IEEE Internet of Things Journal, 2022, 9(19): 18267-18279.
[7]
Qu X, Wang H. Emergency task offloading strategy based on cloud-edge-end collaboration for smart factories[J]. Computer Networks, 2023, 234: 109915.
[8]
Hu Z, Wang S, Hu L, Optimization of task unloading strategy based on Game Theory in cloud edge collaborative system[C]//Proceedings of the 8th International Conference on Computing and Artificial Intelligence. 2022: 228-234.
[9]
Zhao Jingming, Zhang Jie, Song Peng, etc. An efficient power data acquisition system based on cloud edge collaboration [J]. Power Grid and Clean Energy, 2022,38 (05):
[10]
Yang Dongsheng, Ma Xiaoning, Liu Yanjun, etc. Research on cloud side collaborative application scheme of 5G oriented railway data service platform [J]. China Railway, 2023, (02):
[11]
Zhang J, Bao C, Xu M, Distribution Network Distributed Resources Application Framework and Key Technologies Based on Cloud-Edge-Device Collaboration[C]//2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2022: 1888-1892.
[12]
YANG W Y, LIU W, WEI X S, EdgeKeeper: a trusted edge computing framework for ubiquitous power Internet of things[J]. Frontiers of Information Technology &Electronic Engineering, 2021, 22(3):374-400.)
[13]
Xiao Jing, Zeng Jinsong, Xu Jiaqing, etc. Design of power security management and control system based on cloud edge collaboration technology [J]. Power Supply and Consumption, 2023,40 (05):
[14]
Cai Chang, Wang Junsheng, Liu Jiawei, etc. Digital twin structure and key technology of hot rolling production based on cloud edge [J]. Metallurgical Automation, 2023,47 (05):
[15]
Hu Z, Fang C, Wang Z, Many-Objective Optimization Based-Content Popularity Prediction for Cache-Assisted Cloud-Edge-End Collaborative IoT Networks[J]. IEEE Internet of Things Journal, 2023.
[16]
Zhu Sifeng, Song Zhaowei, Chen Hao, etc. Multi objective optimization unloading decision of cloud edge collaboration in the smart traffic scenario [J]. Journal of Xi'an University of Electronic Science and Technology
[17]
Zhou Zhenyu, Wang Zhao, Liao Haijun, 5G cloud edge end collaboration framework and resource scheduling method for power Internet of Things [J]. Power Grid Technology, 2022,46 (05):
[18]
Wang Dequan. Design and Implementation of Computing Unloading Module for Industrial Internet of Things [D]. Beijing University of Posts and Telecommunications, 2021

Index Terms

  1. Overview of Research on Cloud-Edge-End Collaboration Technology of Industrial Control System
          Index terms have been assigned to the content through auto-classification.

          Recommendations

          Comments

          Information & Contributors

          Information

          Published In

          cover image ACM Other conferences
          CECCT '23: Proceedings of the 2023 International Conference on Electronics, Computers and Communication Technology
          November 2023
          266 pages
          ISBN:9798400716300
          DOI:10.1145/3637494
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          Published: 05 February 2024

          Permissions

          Request permissions for this article.

          Check for updates

          Author Tags

          1. Industrial control system
          2. cloud-edge-end collaboration
          3. computing unloading
          4. edge computing

          Qualifiers

          • Research-article
          • Research
          • Refereed limited

          Funding Sources

          • National Key R&D Plan of China (Grant No.2021YFB3101701)

          Conference

          CECCT 2023

          Contributors

          Other Metrics

          Bibliometrics & Citations

          Bibliometrics

          Article Metrics

          • 0
            Total Citations
          • 30
            Total Downloads
          • Downloads (Last 12 months)30
          • Downloads (Last 6 weeks)4
          Reflects downloads up to 30 Aug 2024

          Other Metrics

          Citations

          View Options

          Get Access

          Login options

          View options

          PDF

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader

          HTML Format

          View this article in HTML Format.

          HTML Format

          Media

          Figures

          Other

          Tables

          Share

          Share

          Share this Publication link

          Share on social media