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dc.date.accessioned 2021-08-27T18:05:48Z
dc.date.available 2021-08-27T18:05:48Z
dc.date.issued 2019-09-17
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/123675
dc.description.abstract Rucio, the distributed data management system of the ATLAS experiment already manages more than 400 Petabytes of physics data on the grid. Rucio was incrementally improved throughout LHC Run-2 and is currently being prepared for the HL-LHC era of the experiment. Next to these improvements the system is currently evolving into a full-scale generic data management system for application beyond ATLAS, or even beyond high-energy physics. This contribution focuses on the development roadmap of Rucio for LHC Run-3, such as event level data management, generic meta-data support and increased usage of networks and tapes. At the same time Rucio is evolving beyond the original ATLAS requirements. This includes additional authentication mechanisms, generic database compatibility, deployment and packaging of the software stack in containers, and a project paradigm shift to a full-scale open source project. en
dc.language en es
dc.subject Rucio es
dc.subject Dstributed data management es
dc.title Evolution of the open-source data management system Rucio for LHC Run-3 and beyond ATLAS en
dc.type Articulo es
sedici.identifier.other doi:10.1051/epjconf/201921404054 es
sedici.identifier.issn 2100-014X es
sedici.creator.person Barisits, Martin es
sedici.creator.person Beermann, Thomas es
sedici.creator.person Bogado García, Joaquín Ignacio es
sedici.creator.person Garonne, Vincent es
sedici.creator.person Javurek, Tomas es
sedici.creator.person Lassnig, Mario es
sedici.creator.person Manzi, Andrea es
sedici.creator.person Martelli, Edoardo es
sedici.creator.person Serfon, Cedric es
sedici.creator.person Wegner, Tobias es
sedici.creator.person Zhao, Xin es
sedici.creator.corporate The ATLAS Collaboration es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.materias Física es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution 4.0 International (CC BY 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by/4.0/
sedici.relation.event 23rd International Conference on Computing in High Energy and Nuclear Physics - CHEP 2018 (Bulgaria, 9 al 13 dejuliode 2018) es
sedici.description.peerReview peer-review es
sedici.relation.journalTitle EPJ Web of Conferences es
sedici.relation.journalVolumeAndIssue vol. 214 es


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Creative Commons Attribution 4.0 International (CC BY 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 4.0 International (CC BY 4.0)