| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01241 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/epjconf/202533701241 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701241
Belle II Network Performance Analysis in the Context of the WLCG Data Challenge 2024
1 INFN-Napoli Unit – Italy
2 High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
3 Brookhaven National Laboratory, Upton, NY, USA
4 Nippon Dental University, 1-8 Hamaura-cho, Niigata 951-8580, Japan
Published online: 7 October 2025
The Belle II experiment relies on a distributed computing infrastructure spanning 19 countries and over 50 sites. It is expected to generate approximately 40TB/day of raw data in 2027, necessitating distribution from the High Energy Accelerator Research Organization (KEK) in Japan to six data centers across the USA, Europe, and Canada. Establishing a high-quality network has been a priority since 2012 to address the challenge of transferring data across long distances in high-latency environments. This effort included joining LHCONE and conducting periodic data challenges to assess network performance after significant changes in infrastructure or experiment schedules. In February 2024 Belle II joined the WLCG Data Challenge, performed together with LHC experiments with the goal to test network performance under stress, particularly due to the anticipated increase in traffic from the experiments with the High Luminosity LHC program at CERN. In this work, we will present a comprehensive overview of the tests conducted by Belle II. We will start with the test design, define the goals, and outline the preliminary steps taken. We will then describe the working environment, the tests performed, and the tools employed. Furthermore, we will discuss the results achieved in detail. Finally, we will outline the future steps for subsequent tests.
© The Authors, published by EDP Sciences, 2025
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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