| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 03007 | |
| Number of page(s) | 7 | |
| Section | 3 - Middleware and Distributed Computing | |
| DOI | https://doi.org/10.1051/epjconf/202024503007 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024503007
Dirac-based solutions for JUNO production system
Institute of High Energy Physics, Beijing, China
* Corresponding author: zhangxm@ihep.ac.cn
Published online: 16 November 2020
The JUNO (Jiangmen Underground Neutrino Observatory) Monte Carlo production tasks are composed of complicated workflow and dataflow linked by data. The paper will present the design of the JUNO production system based on the DIRAC transformation framework to meet the requirements of the JUNO Monte Carlo production activities among JUNO data centres according to the JUNO computing model. The approach allows JUNO data-driven workflow and dataflow to be chained automatically with availability of data and also provides a convenient interface for production groups to create and monitor production tasks. The functions and performance tests for evaluating the prototype system would be also presented in the paper.
© The Authors, published by EDP Sciences, 2020
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