TY  - JOUR
AU  - Cameron, David
AU  - Forti, Alessandra
AU  - Klimentov, Alexei
AU  - Pacheco Pages, Andrés
AU  - South, David
TI  - Evolution of ATLAS analysis workflows and tools for the HL-LHC era
JO  - The European physical journal / Web of Conferences
VL  - 251
SN  - 2100-014X
CY  - Les Ulis
PB  - EDP Sciences
M1  - PUBDB-2022-00114
SP  - 02002 -
PY  - 2021
AB  - The High Luminosity LHC project at CERN, which is expected to deliver a ten-fold increase in the luminosity of proton-proton collisions over LHC, will start operation towards the end of this decade and will deliver an unprecedented scientific data volume of multi-exabyte scale. This vast amount of data has to be processed and analysed, and the corresponding computing facilities must ensure fast and reliable data processing for physics analyses by scientific groups distributed all over the world. The present LHC computing model will not be able to provide the required infrastructure growth, even taking into account the expected evolution in hardware technology. To address this challenge, several novel methods of how end-users analysis will be conducted are under evaluation by the ATLAS Collaboration. State-of-the-art workflow management technologies and tools to handle these methods within the existing distributed computing system are now being evaluated and developed. In addition the evolution of computing facilities and how this impacts ATLAS analysis workflows is being closely followed.
T2  - 25th International Conference on Computing in High-Energy and Nuclear Physics
CY  - 17 May 2021 - 21 May 2021, Online (France)
Y2  - 17 May 2021 - 21 May 2021
M2  - Online, France
KW  - activity report (INSPIRE)
KW  - ATLAS (INSPIRE)
KW  - data management (INSPIRE)
KW  - computer: network (INSPIRE)
KW  - performance (INSPIRE)
LB  - PUB:(DE-HGF)36 ; PUB:(DE-HGF)16
DO  - DOI:10.1051/epjconf/202125102002
UR  - https://bib-pubdb1.desy.de/record/473559
ER  -