Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
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Article Number | 04030 | |
Number of page(s) | 6 | |
Section | 4 - Data Organisation, Management and Access | |
DOI | https://doi.org/10.1051/epjconf/202024504030 | |
Published online | 16 November 2020 |
https://doi.org/10.1051/epjconf/202024504030
Development of the JUNO Conditions Data Management System
Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, China
* Corresponding author : huangxt@sdu.edu.cn
Published online: 16 November 2020
The Jiangmen Underground Neutrino Observatory (JUNO) experiment is designed to determine the neutrino mass hierarchy and precisely measure oscillation parameters with an unprecedented energy resolution of 3% at 1 MeV. It is composed of a 20 kton liquid scintillator central detector equipped with 18000 20-inch PMTs and 25000 3-inch PMTs, a water pool with 2000 20-inch PMTs, and a top tracker. Conditions data, coming from calibration and detector monitoring, are heterogeneous, different type of conditions data has different write rates, data format and data volume. JUNO conditions data management system (JCDMS) is developed to homogeneously treat all these heterogeneous conditions data in order to provide easy management and convenient access with both Restful API and web interfaces, support good scalability and maintenance for long time running. The paper describes the status and development of JCDMS including the data model, workflows, interfaces, data caching and performance of the system.
© The Authors, published by EDP Sciences, 2020
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