Service-oriented EPICS and data processing method based on high-availability cluster

Li Yukun; Du Yaoyao; Ye Qiang; Yue Junhui; Sui Yanfeng; Wei Shujun; Xu Liang; Xie Youpeng; Cao Jianshe

doi:10.11884/HPLPB202537.240202

Volume 37 Issue 1

Dec. 2025

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Article Navigation > High Power Laser and Particle Beams > 2025 > 37(1): 014003

Li Yukun, Du Yaoyao, Ye Qiang, et al. Service-oriented EPICS and data processing method based on high-availability cluster[J]. High Power Laser and Particle Beams, 2025, 37: 014003. doi: 10.11884/HPLPB202537.240202

Citation:

Li Yukun, Du Yaoyao, Ye Qiang, et al. Service-oriented EPICS and data processing method based on high-availability cluster[J]. High Power Laser and Particle Beams, 2025, 37: 014003. doi: 10.11884/HPLPB202537.240202

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Service-oriented EPICS and data processing method based on high-availability cluster

doi: 10.11884/HPLPB202537.240202

Li Yukun^{1, 2
,},
Du Yaoyao¹,
Ye Qiang¹,
Yue Junhui¹,
Sui Yanfeng¹,
Wei Shujun¹,
Xu Liang^{1, 2},
Xie Youpeng^{1, 2},
Cao Jianshe^{1, 2
,
,}

1.
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China

Received Date: 2024-06-16
Accepted Date: 2024-11-12
Rev Recd Date: 2024-11-12

Available Online: 2024-12-23

Publish Date: 2025-12-13

Abstract

Abstract

A novel service-based EPICS and new front-end data acquisition method based on a high-availability Kubernetes cluster built on the Proxmox VE platform is proposed in this paper to enhance the performance and stability of the data acquisition system. By deploying EPICS services on the Kubernetes cluster, a new efficient front-end data processing and acquisition method is realized. The data acquisition method utilizes distributed data sharing based on the Channel Access protocol to perform real-time processing and analysis of data. This approach offers advantages such as reducing hardware and maintenance costs, improving portability and flexibility, and enhancing data acquisition and processing efficiency. The practical application and testing have demonstrated that this method has the potential for use in large scientific facilities. In the future, its application value in other fields will be explored.
- EPICS,
- Docker container,
- Kubernetes cluster,
- data processing,
- distributed system

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References(11)

References

[1]	Voirin R, Oulevey T, Vanden Eynden M. The state of containerization in CERN accelerator controls[C]//18th International Conference on Accelerator and Large Experimental Physics Control Systems. 2021: 829-834.
[2]	李宇鲲, 曹建社, 杜垚垚, 等. 基于虚拟化平台的EPICS容器数据获取及处理方式[C]//中国核学会. 中国核科学技术进展报告(第八卷)论文集. 2023: 6 Li Yukun, Cao Jianshe, Du Yaoyao, et al. Data acquisition and processing method for EPICS container based on virtualization platform[C]//Chinese Nuclear Society. Progress Report on China Nuclear Science & Technology (vol. 8). 2023: 6
[3]	Zhang Weiguo, Ma Xilin, Zhang Jinzhong. Research on Kubernetes’ resource scheduling scheme[C]//Proceedings of the 8th International Conference on Communication and Network Security. 2018: 144-148.
[4]	Alshuqayran N, Ali N, Evans R. A systematic mapping study in microservice architecture[C]//2016 IEEE 9th International Conference on Service-oriented Computing and Applications (SOCA). 2016: 44-51.
[5]	Endo P T, Rodrigues M, Gonçalves G E, et al. High availability in clouds: systematic review and research challenges[J]. Journal of Cloud Computing, 2016, 5: 16. doi: 10.1186/s13677-016-0066-8
[6]	Kovari A, Dukan P. KVM & OpenVZ virtualization based IaaS open source cloud virtualization platforms: OpenNode, Proxmox VE[C]//2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics. 2012: 335-339.
[7]	Wijayanto D, Firdonsyah A, Adhinata F D, et al. Rancang bangung private server menggunakan platform Proxmox dengan studi kasus: PT. MKNT[J]. Journal ICTEE, 2021, 2(2): 41-49. doi: 10.33365/jictee.v2i2.1333
[8]	Hardikar S, Ahirwar P, Rajan S. Containerization: cloud computing based inspiration technology for adoption through Docker and Kubernetes[C]//2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC). 2021: 1996-2003.
[9]	Arredondo I, Jugo J. Containerized control structure for accelerators[C]//Proceedings of the 16th International Conference on Accelerator and Large Experimental Control Systems. 2017: 816-821.
[10]	Wang R, Guo Y H, Wang B J, et al. The deployment technology of EPICS application software based on Docker[C]//Proceedings of the 18th International Conference on Accelerator and Large Experimental Physics Control Systems. 2021: 197-201.
[11]	Wang R, Guo Y H, Xie N, et al. A new deployment method of the archiver application with Kubernetes for the CAFe facility[J]. Radiation Detection Technology and Methods, 2022, 6(4): 508-518. doi: 10.1007/s41605-022-00356-y