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System performance and cost modelling in LHC computing

The increase in the scale of LHC computing expected for Run 3 and even more so for Run 4 (HL-LHC) over the next ten years will certainly require radical changes to the computing models and the data processing of the LHC experiments. Translating the requirements of the physics programmes into computi...

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Detalles Bibliográficos
Autores principales: Biscarat, Catherine, Boccali, Tommaso, Bonacorsi, Daniele, Bozzi, Concezio, Costanzo, Davide, Duellmann, Dirk, Elmsheuser, Johannes, Fede, Eric, Flix Molina, José, Giordano, Domenico, Grigoras, Costin, Iven, Jan, Jouvin, Michel, Kemp, Yves, Lange, David, Meinhard, Helge, Michelotto, Michele, Roy, Gareth Douglas, Sansum, Andrew, Sartirana, Andrea, Schulz, Markus, Sciabà, Andrea, Smirnova, Oxana, Stewart, Graeme, Valassi, Andrea, Vernet, Renaud, Wenaus, Torre, Wuerthwein, Frank
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/201921403019
http://cds.cern.ch/record/2702135
Descripción
Sumario:The increase in the scale of LHC computing expected for Run 3 and even more so for Run 4 (HL-LHC) over the next ten years will certainly require radical changes to the computing models and the data processing of the LHC experiments. Translating the requirements of the physics programmes into computing resource needs is a complicated process and subject to significant uncertainties. For this reason, WLCG has established a working group to develop methodologies and tools intended to characterise the LHC workloads, better understand their interaction with the computing infrastructure, calculate their cost in terms of resources and expenditure and assist experiments, sites and the WLCG project in the evaluation of their future choices. This working group started in November 2017 and has about 30 active participants representing experiments and sites. In this contribution we expose the activities, the results achieved and the future directions.