| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 04007 | |
| Number of page(s) | 5 | |
| Section | 4 - Data Organisation, Management and Access | |
| DOI | https://doi.org/10.1051/epjconf/202024504007 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024504007
Distributed data management on Belle II
1
Brookhaven National Laboratory, Upton, NY, USA
2
High Energy Accelerator Research Organization (KEK), Japan
* Corresponding author: spadolski@bnl.gov
Published online: 16 November 2020
The Belle II experiment started taking physics data in April 2018 with an estimated total volume of all files including raw events, Monte-Carlo and skim statistics of 340 petabytes expected by the end of operations in the late-2020s. Originally designed as a fully integrated component of the BelleDIRAC production system, the Belle II distributed data management (DDM) software needs to manage data across about 29 storage elements worldwide for a collaboration of nearly 1000 physicists. By late 2018, this software required significant performance improvements to meet the requirements of physics data taking and was seriously lacking in automation. Rucio, the DDM solution created by ATLAS, was an obvious alternative but required tight integration with BelleDIRAC and a seamless yet non-trivial migration. This contribution describes the work done on both DDM options, the current status of the software running successfully in production and the problems associated with trying to balance long-term operations cost against short term risk.
© The Authors, published by EDP Sciences, 2020
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