基于高可用集群的服务化EPICS与数据处理方式

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

doi:10.11884/HPLPB202537.240202

基于高可用集群的服务化EPICS与数据处理方式

doi: 10.11884/HPLPB202537.240202

李宇鲲^{1, 2,},
杜垚垚¹,
叶强¹,
岳军会¹,
随艳峰¹,
魏书军¹,
许亮^{1, 2},
谢友朋^{1, 2},
曹建社^{1, 2, ,}

1.
中国科学院高能物理研究所，北京 100049
2.
中国科学院大学，北京 100049

详细信息

作者简介:
李宇鲲，liyukun@ihep.ac.cn

通讯作者:
曹建社，caojs@ihep.ac.cn。

中图分类号: TL506
计量
- 文章访问数: 115
- HTML全文浏览量: 40
- PDF下载量: 23
- 被引次数: 0
出版历程
- 收稿日期: 2024-06-16
- 修回日期: 2024-11-12
- 录用日期: 2024-11-12
- 网络出版日期: 2024-12-23
- 刊出日期: 2025-12-13

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

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

摘要

摘要: 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Kubernetes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。
- EPICS /
- Docker容器 /
- Kubernetes集群 /
- 数据处理 /
- 分布式系统
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

HTML全文

图 1 Kubernetes集群结构图

Figure 1. Architecture of Kubernetes cluster

下载: 全尺寸图片幻灯片

图 2 系统架构图

Figure 2. System architecture

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图 3 Rancher 仪表盘界面

Figure 3. Dashboard of Rancher

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图 4 Archiver Appliance界面

Figure 4. Interface of Archiver Appliance

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图 5 Phoebus界面

Figure 5. Interface of Phoebus

下载: 全尺寸图片幻灯片

表 1 Kubernetes集群状况

Table 1. Kubernetes cluster configuration

node	node IP	node role	deployed services
k8s-master	192.168.0.117	Master/ETCD	—
k8s-node1	192.168.0.118	Worker/ETCD	Phoebus desktop
k8s-node2	192.168.0.119	Worker/ETCD	Archiver appliance

下载: 导出CSV

参考文献(11)

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