| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 8 | |
| Section | Data and Metadata Organization, Management and Access | |
| DOI | https://doi.org/10.1051/epjconf/202429501006 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429501006
A case study of content delivery networks for the CMS ex-periment
1 IFAE, The Barcelona Institute of Science and Technology, 08193 Bellaterra (Barcelona), Spain
2 PIC, 08193 Bellaterra (Barcelona), Spain
3 CIEMAT, Scientific Computing Unit, 28040 Madrid, Spain
4 Autonomous University of Barcelona, 08193 Bellaterra (Barcelona), Spain
* Corresponding author: cperez@pic.es
Published online: 6 May 2024
In 2029 the LHC will start the high-luminosity LHC program, with a boost in the integrated luminosity resulting in an unprecedented amount of ex- perimental and simulated data samples to be transferred, processed and stored in disk and tape systems across the worldwide LHC computing Grid. Content de- livery network solutions are being explored with the purposes of improving the performance of the compute tasks reading input data via the wide area network, and also to provide a mechanism for cost-effective deployment of lightweight storage systems supporting traditional or opportunistic compute resources. In this contribution we study the benefits of applying cache solutions for the CMS experiment, in particular the configuration and deployment of XCache serving data to two Spanish WLCG sites supporting CMS: the Tier-1 site at PIC and the Tier-2 site at CIEMAT. The deployment and configuration of the system and the developed monitoring tools will be shown, as well as data popularity studies in relation to the optimization of the cache configuration, the effects on CPU efficiency improvements for analysis tasks, and the cost benefits and impact of including this solution in the region.
© 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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