| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01350 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/epjconf/202533701350 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701350
ATLAS HL-LHC Demonstrators with Data Carousel: Dataon-Demand and Tape Smart Writing
1 The University of Iowa, USA
2 Brookhaven National Laboratory, Upton, NY, USA
3 The University of Pittsburgh, USA
4 European Organization for Nuclear Research (CERN), Geneva, Switzerland
5 Karlsruhe Institute of Technology, Karlsruhe, Germany
* e-mail: xzhao@bnl.gov
Published online: 7 October 2025
The High Luminosity upgrade to the LHC (HL-LHC) is expected to deliver scientific data at the multi-exabyte scale. To tackle this unprecedented data storage challenge, the ATLAS experiment initiated the Data Carousel project in 2018. Data Carousel is a tape-driven workflow in which bulk production campaigns with input data resident on tape are executed by staging and promptly processing a sliding window to disk buffer such that only a small fraction of inputs are pinned on disk at any one time. Put in ATLAS production before Run3, Data Carousel continues to be our focus for seeking new opportunities in disk space savings, and enhancing tape usage throughout the ATLAS Distributed Computing (ADC) environment. These efforts are highlighted by two recent ATLAS HL-LHC demonstrator projects: data-on-demand and tape smart writing. In this paper, we will discuss the recent studies and outcomes from these projects. The research was conducted together with site experts at CERN and Tier-1 centers.
© 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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