EPJ Web Conf.
Volume 251, 202125th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|Number of page(s)||9|
|Section||Distributed Computing, Data Management and Facilities|
|Published online||23 August 2021|
Containerization in ATLAS Software Development and Data Production
1 University of Texas at Arlington, Physics Department, Arlington, Texas, USA
2 Brookhaven National Laboratory, Physics Department, Upton, NewYork, USA
3 University of Wuppertal, Faculty of Mathematics and Natural Sciences, Wuppertal, Germany
4 University of Manchester, Physics and Astronomy Department, Manchester, UK
* e-mail: Nurcan.Ozturk@cern.ch
** University of Texas at Arlington is the current affiliation.
Published online: 23 August 2021
The ATLAS experiment’s software production and distribution on the grid benefits from a semi-automated infrastructure that provides up-to-date information about software usability and availability through the CVMFS distribution service for all relevant systems. The software development process uses a Continuous Integration pipeline involving testing, validation, packaging and installation steps. For opportunistic sites that can not access CVMFS, containerized releases are needed. These standalone containers are currently created manually to support Monte-Carlo data production at such sites. In this paper we will describe an automated procedure for the containerization of ATLAS software releases in the existing software development infrastructure, its motivation, integration and testing in the distributed computing system.
© The Authors, published by EDP Sciences, 2021
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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