| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 02034 | |
| Number of page(s) | 7 | |
| Section | Online Computing | |
| DOI | https://doi.org/10.1051/epjconf/202429502034 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429502034
Upgrade of Online Storage and Express-Reconstruction System for the Belle II experiment
1 High Energy Accelerator Research Organization (KEK), 1-1 Oho, Tsukuba, Ibaraki 305-0801, Japan
2 University of Bonn, 53113 Bonn, Germany
* e-mail: seokhee.park@kek.jp
Published online: 6 May 2024
The backend of the Belle II data acquisition system consists of a high-level trigger system, online storage, and an express-reconstruction system for online data processing. The high-level trigger system was updated to use the ZeroMQ networking library from the old ring buffer and TCP/IP socket, and the new system is successfully operated. However, the online storage and express-reconstruction system use the old type of data transportation. For future maintainability, we expand the same ZeroMQ library-based system to the online storage and express-reconstruction system. At the same time, we introduce two more updates in the backend system. First, online side raw data output becomes compressed ROOT format which is the official format of the Belle II data. The update helps to reduce the bandwidth of the online to offline data transfer and offline-side computing resource usage for data format conversion and compression. Second, high-level trigger output-based event selection is included in the online storage. The event selection allows more statistics of data quality monitoring from the express-reconstruction system. In the presentation, we show the description and test result of the upgrade before applying it to the beam operation and data taking.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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