| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 04030 | |
| Number of page(s) | 8 | |
| Section | Distributed Computing | |
| DOI | https://doi.org/10.1051/epjconf/202429504030 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429504030
JUNO distributed computing system
1 Institute of High Energy Physics
2 on behalf of JUNO collaboration
* e-mail: zhangxm@ihep.ac.cn
Published online: 6 May 2024
The Jiangmen Underground Neutrino Observatory (JUNO) [1] is a multipurpose neutrino experiment and the determination of the neutrino mass hierarchy is its primary physics goal. JUNO is going to start data taking in 2024 and plans to use distributed computing infrastructure for the data processing and analysis tasks. The JUNO distributed computing system has been designed and built based on DIRAC [2]. Since last year, the official Monte Carlo (MC) production has been running on the system, and petabytes of massive MC data have been shared among JUNO data centers through this system. In this paper, an overview of the JUNO distributed computing system will be presented, including workload management system, data management, and condition data access system. Moreover, the progress of adapting the system to support token-based AAI [3] and HTTP-TPC [4] will be reported. Finally, the paper will mention the preparations for the upcoming JUNO data-taking.
© The Authors, published by EDP Sciences, 2024
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