| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01185 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701185 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701185
Data Challenge 2024 – CMS Activities
1 Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22603 Hamburg, Germany
2 CERN, Meyrin, Switzerland
3 Rutherford Appleton Laboratory, Harwell Campus, United Kingdom
4 University of Wisconsin - Madison, 1150 University Avenue, Madison, WI 53706, United States of America
5 Purdue University, 1396 Physics Building West Lafayette, IN 47907-139, United States of America
* e-mail: christoph.wissing@desy.de
Published online: 7 October 2025
To verify the readiness of the data distribution infrastructure for the HL-LHC, which is planned to start in 2030, WLCG is organizing a series of data challenges with increasing throughput and complexity. This presentation addresses the contribution of CMS to Data Challenge 2024, which aims to reach 25% of the expected network throughput of the HL-LHC. During the challenge CMS tested various network flows, from the RAW data distribution to the “flexible” model, which adds network traffic resulting from data reprocessing and MC production between most CMS sites.
The overall throughput targets were met on the global scale utilizing several hundred links. Valuable information was gathered regarding scaling capabilities of key central services such as Rucio and FTS. During the challenge about half of the transferred volume was carried out via token based authentication. In general sufficient performance of individual links was observed and sites coped with the target throughput. For links that did not reach the target, attempts were made to identify the bottleneck, whether in the transfer tools, the network link, the involved storage systems or other component.
© 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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