| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01020 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/epjconf/202533701020 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701020
Leveraging public cloud resources for the processing of CMS open data
1 Helsinki Institute of Physics, Finland
2 Lapland University of Applied Sciences, Finland
* e-mail: kati.lassila-perini@cern.ch
Published online: 7 October 2025
The CMS experiment at the Large Hadron Collider (LHC) regularly releases open data and simulations, enabling a wide range of physics analyses and studies by the global scientific community. The recent introduction of the NanoAOD data format has provided a streamlined and efficient approach to data processing, allowing for fast analysis turnaround. However, the larger MiniAOD format retains richer information that may be crucial for certain types of analyses. This work explores the potential of using public cloud resources for the computationally intensive processing of the MiniAOD format, for which many open data users may not have the necessary computing resources. With a scalable cloud infrastructure, researchers can benefit from increased processing power in their data analysis workflows, with a moderate short-term cost. This study investigates best practices and challenges for efficiently utilizing public cloud platforms to handle the processing of CMS MiniAOD data, with a focus on quantifying the overall time and cost of using these resources. The results indicate that the technical implementation of a typical CMS open data workflow in a public cloud environemnt is smooth, and the processing can be done with a reasonable overall cost and time.
© 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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