| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01100 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/epjconf/202533701100 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701100
Optimizing the ATLAS metadata database architecture in preparation for High Luminosity LHC
Laboratoire de Physique Subatomique et de Cosmologie (LPSC) de Grenoble
* e-mail: ami@lpsc.in2p3.fr
Published online: 7 October 2025
ATLAS Metadata Interface (AMI) is a generic ecosystem for meta data aggregation, transformation and cataloging, benefiting from more than 25 years of feedback in the LHC context. This paper shows how it is planned to optimize the ATLAS metadata database architecture in preparation for High Luminosity LHC. In particular, the new mechanism for propagating physics parameters along the ATLAS dataset inheritance chain will be presented. This paper also describes the automatic scoping mechanism, that has been introduced in AMI, to take advantage of database partitioning in a transparent way.
© 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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