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基于高可用集群的服务化EPICS与数据处理方式

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提出了一种基于Proxmox VE平台搭建的高可用Kubernetes集群下的新型服务化EPICS与新型前端数据获取方式,以提高数据采集系统的性能和稳定性.通过将EPICS服务化部署在Kubemetes集群上,实现了全新高效的前端数据处理及获取方式.数据获取方式利用基于Channel Access协议的分布式数据共享,对数据进行实时处理和分析.该方法具有降低硬件和维护成本、提高可移植性和灵活性、提高数据采集和处理效率等优势.实际应用和测试表明,该方法具有在大型科学设施中应用的潜力,未来将探索其在其他领域的应用价值.
Service-oriented EPICS and data processing method based on high-availability cluster
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 Kubemetes 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.

EPICSDocker containerKubernetes clusterdata processingdistributed system

李宇鲲、杜垚垚、叶强、岳军会、随艳峰、魏书军、许亮、谢友朋、曹建社

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中国科学院高能物理研究所,北京 100049

中国科学院大学,北京 100049

EPICS Docker容器 Kubernetes集群 数据处理 分布式系统

2025

强激光与粒子束
中国工程物理研究院 中国核学会 四川核学会

强激光与粒子束

北大核心
影响因子:1.008
ISSN:1001-4322
年,卷(期):2025.37(1)