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Distributed computing grid experiences in CMS

The CMS experiment is currently developing a computing system capable of serving, processing and archiving the large number of events that will be generated when the CMS detector starts taking data. During 2004 CMS undertook a large scale data challenge to demonstrate the ability of the CMS computin...

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Detalles Bibliográficos
Autores principales: Andreeva, Julia, Anjum, A, Barrass, T, Bonacorsi, D, Bunn, Julian, Capiluppi, P, Corvo, M, Darmenov, N, De Filippis, N, Donno, F, Donvito, G, Eulisse, G, Fanfani, A, Fanzago, F, Filine, A, Grandi, C, Hernández, J M, Innocente, V, Jan, A, Lacaprara, S, Legrand, I, Metson, S, Newbold, D, Newman, H, Pierro, A, Silvestris, L, Steenberg, C, Stockinger, H, Taylor, Lucas, Thomas, M, Tuura, L, Van Lingen, F, Wildish, Tony
Lenguaje:eng
Publicado: 2005
Materias:
Acceso en línea:https://dx.doi.org/10.1109/TNS.2005.852755
http://cds.cern.ch/record/913887
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author Andreeva, Julia
Anjum, A
Barrass, T
Bonacorsi, D
Bunn, Julian
Capiluppi, P
Corvo, M
Darmenov, N
De Filippis, N
Donno, F
Donvito, G
Eulisse, G
Fanfani, A
Fanzago, F
Filine, A
Grandi, C
Hernández, J M
Innocente, V
Jan, A
Lacaprara, S
Legrand, I
Metson, S
Newbold, D
Newman, H
Pierro, A
Silvestris, L
Steenberg, C
Stockinger, H
Taylor, Lucas
Thomas, M
Tuura, L
Van Lingen, F
Wildish, Tony
author_facet Andreeva, Julia
Anjum, A
Barrass, T
Bonacorsi, D
Bunn, Julian
Capiluppi, P
Corvo, M
Darmenov, N
De Filippis, N
Donno, F
Donvito, G
Eulisse, G
Fanfani, A
Fanzago, F
Filine, A
Grandi, C
Hernández, J M
Innocente, V
Jan, A
Lacaprara, S
Legrand, I
Metson, S
Newbold, D
Newman, H
Pierro, A
Silvestris, L
Steenberg, C
Stockinger, H
Taylor, Lucas
Thomas, M
Tuura, L
Van Lingen, F
Wildish, Tony
author_sort Andreeva, Julia
collection CERN
description The CMS experiment is currently developing a computing system capable of serving, processing and archiving the large number of events that will be generated when the CMS detector starts taking data. During 2004 CMS undertook a large scale data challenge to demonstrate the ability of the CMS computing system to cope with a sustained data- taking rate equivalent to 25% of startup rate. Its goals were: to run CMS event reconstruction at CERN for a sustained period at 25 Hz input rate; to distribute the data to several regional centers; and enable data access at those centers for analysis. Grid middleware was utilized to help complete all aspects of the challenge. To continue to provide scalable access from anywhere in the world to the data, CMS is developing a layer of software that uses Grid tools to gain access to data and resources, and that aims to provide physicists with a user friendly interface for submitting their analysis jobs. This paper describes the data challenge experience with Grid infrastructure and the current development of the CMS analysis system.
id cern-913887
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2005
record_format invenio
spelling cern-9138872019-09-30T06:29:59Zdoi:10.1109/TNS.2005.852755http://cds.cern.ch/record/913887engAndreeva, JuliaAnjum, ABarrass, TBonacorsi, DBunn, JulianCapiluppi, PCorvo, MDarmenov, NDe Filippis, NDonno, FDonvito, GEulisse, GFanfani, AFanzago, FFiline, AGrandi, CHernández, J MInnocente, VJan, ALacaprara, SLegrand, IMetson, SNewbold, DNewman, HPierro, ASilvestris, LSteenberg, CStockinger, HTaylor, LucasThomas, MTuura, LVan Lingen, FWildish, TonyDistributed computing grid experiences in CMSNuclear PhysicsThe CMS experiment is currently developing a computing system capable of serving, processing and archiving the large number of events that will be generated when the CMS detector starts taking data. During 2004 CMS undertook a large scale data challenge to demonstrate the ability of the CMS computing system to cope with a sustained data- taking rate equivalent to 25% of startup rate. Its goals were: to run CMS event reconstruction at CERN for a sustained period at 25 Hz input rate; to distribute the data to several regional centers; and enable data access at those centers for analysis. Grid middleware was utilized to help complete all aspects of the challenge. To continue to provide scalable access from anywhere in the world to the data, CMS is developing a layer of software that uses Grid tools to gain access to data and resources, and that aims to provide physicists with a user friendly interface for submitting their analysis jobs. This paper describes the data challenge experience with Grid infrastructure and the current development of the CMS analysis system.oai:cds.cern.ch:9138872005
spellingShingle Nuclear Physics
Andreeva, Julia
Anjum, A
Barrass, T
Bonacorsi, D
Bunn, Julian
Capiluppi, P
Corvo, M
Darmenov, N
De Filippis, N
Donno, F
Donvito, G
Eulisse, G
Fanfani, A
Fanzago, F
Filine, A
Grandi, C
Hernández, J M
Innocente, V
Jan, A
Lacaprara, S
Legrand, I
Metson, S
Newbold, D
Newman, H
Pierro, A
Silvestris, L
Steenberg, C
Stockinger, H
Taylor, Lucas
Thomas, M
Tuura, L
Van Lingen, F
Wildish, Tony
Distributed computing grid experiences in CMS
title Distributed computing grid experiences in CMS
title_full Distributed computing grid experiences in CMS
title_fullStr Distributed computing grid experiences in CMS
title_full_unstemmed Distributed computing grid experiences in CMS
title_short Distributed computing grid experiences in CMS
title_sort distributed computing grid experiences in cms
topic Nuclear Physics
url https://dx.doi.org/10.1109/TNS.2005.852755
http://cds.cern.ch/record/913887
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