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Caching servers for ATLAS

As many LHC Tier-3 and some Tier-2 centers look toward streamlining operations, they are considering autonomously managed storage elements as part of the solution. These storage elements are essentially file caching servers. They can operate as whole file or data block level caches. Several implemen...

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Detalles Bibliográficos
Autores principales: Gardner, Robert, Hanushevsky, Andrew, Vukotic, Ilija, Yang, Wei
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/898/6/062017
http://cds.cern.ch/record/2242941
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author Gardner, Robert
Hanushevsky, Andrew
Vukotic, Ilija
Yang, Wei
author_facet Gardner, Robert
Hanushevsky, Andrew
Vukotic, Ilija
Yang, Wei
author_sort Gardner, Robert
collection CERN
description As many LHC Tier-3 and some Tier-2 centers look toward streamlining operations, they are considering autonomously managed storage elements as part of the solution. These storage elements are essentially file caching servers. They can operate as whole file or data block level caches. Several implementations exist. In this paper we explore using XRootD caching servers that can operate in either mode. They can also operate autonomously (i.e. demand driven), be centrally managed (i.e. a Rucio managed cache), or operate in both modes. We explore the pros and cons of various configurations as well as practical requirements for caching to be effective. While we focus on XRootD caches, the analysis should apply to other kinds of caches as well.
id cern-2242941
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
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spelling cern-22429412019-10-15T15:17:01Zdoi:10.1088/1742-6596/898/6/062017http://cds.cern.ch/record/2242941engGardner, RobertHanushevsky, AndrewVukotic, IlijaYang, WeiCaching servers for ATLASParticle Physics - ExperimentAs many LHC Tier-3 and some Tier-2 centers look toward streamlining operations, they are considering autonomously managed storage elements as part of the solution. These storage elements are essentially file caching servers. They can operate as whole file or data block level caches. Several implementations exist. In this paper we explore using XRootD caching servers that can operate in either mode. They can also operate autonomously (i.e. demand driven), be centrally managed (i.e. a Rucio managed cache), or operate in both modes. We explore the pros and cons of various configurations as well as practical requirements for caching to be effective. While we focus on XRootD caches, the analysis should apply to other kinds of caches as well.ATL-SOFT-PROC-2017-021oai:cds.cern.ch:22429412017-01-25
spellingShingle Particle Physics - Experiment
Gardner, Robert
Hanushevsky, Andrew
Vukotic, Ilija
Yang, Wei
Caching servers for ATLAS
title Caching servers for ATLAS
title_full Caching servers for ATLAS
title_fullStr Caching servers for ATLAS
title_full_unstemmed Caching servers for ATLAS
title_short Caching servers for ATLAS
title_sort caching servers for atlas
topic Particle Physics - Experiment
url https://dx.doi.org/10.1088/1742-6596/898/6/062017
http://cds.cern.ch/record/2242941
work_keys_str_mv AT gardnerrobert cachingserversforatlas
AT hanushevskyandrew cachingserversforatlas
AT vukoticilija cachingserversforatlas
AT yangwei cachingserversforatlas