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CMS computing operations during run 1

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dc.contributor.authorAdelman, J.
dc.contributor.authorAlderweireldt, S.
dc.contributor.authorArtieda, J.
dc.contributor.authorBagliesi, G.
dc.contributor.authorBallesteros, D.
dc.contributor.authorBansal, S.
dc.contributor.authorBauerdick, L.
dc.contributor.authorBehrenhof, W.
dc.contributor.authorBelforte, S.
dc.contributor.authorBloom, K.
dc.contributor.authorBlumenfeld, B.
dc.contributor.authorBlyweert, S.
dc.contributor.authorBonacorsi, D.
dc.contributor.authorBrew, C.
dc.contributor.authorContreras, L.
dc.contributor.authorCristofori, A.
dc.contributor.authorCury, S.
dc.contributor.authorDa Silva Gomes, D.
dc.contributor.authorSantos, M. Dolores Saiz
dc.contributor.authorDost, J.
dc.contributor.authorDykstra, D.
dc.contributor.authorHernandez, E. Fajardo
dc.contributor.authorFanzango, F.
dc.contributor.authorFisk, I.
dc.contributor.authorFlix, J.
dc.contributor.authorGeorges, A.
dc.contributor.authorGiffels, M.
dc.contributor.authorGomez-Ceballos, G.
dc.contributor.authorGowdy, S.
dc.contributor.authorGutsche, O.
dc.contributor.authorHolzman, B.
dc.contributor.authorJanssen, X.
dc.contributor.authorKaselis, R.
dc.contributor.authorKcira, D.
dc.contributor.authorKim, B.
dc.contributor.authorKlein, D.
dc.contributor.authorKlute, M.
dc.contributor.authorKress, T.
dc.contributor.authorKreuzer, P.
dc.contributor.authorLahiff, A.
dc.contributor.authorLarson, K.
dc.contributor.authorLetts, J.
dc.contributor.authorLevin, A.
dc.contributor.authorLinacre, J.
dc.contributor.authorLinares, L.
dc.contributor.authorLiu, S.
dc.contributor.authorLuyckx, S.
dc.contributor.authorMaes, M.
dc.contributor.authorMagini, N.
dc.contributor.authorMalta, A.
dc.contributor.authorDa Silva, J. Marra [UNESP]
dc.contributor.authorMcCartin, J.
dc.contributor.authorMcCrea, A.
dc.contributor.authorMohapatra, A.
dc.contributor.authorMolina, J.
dc.contributor.authorMortensen, T.
dc.contributor.authorPadhi, S.
dc.contributor.authorPaus, C.
dc.contributor.authorPiperov, S.
dc.contributor.authorRalph, D.
dc.contributor.authorSartirana, A.
dc.contributor.authorSciaba, A.
dc.contributor.authorSfiligoi, I.
dc.contributor.authorSpinoso, V.
dc.contributor.authorTadel, M.
dc.contributor.authorTraldi, S.
dc.contributor.authorWissing, C.
dc.contributor.authorWuerthwein, F.
dc.contributor.authorYang, M.
dc.contributor.authorZielinski, M.
dc.contributor.authorZvada, M.
dc.contributor.institutionRWTH Aachen University
dc.contributor.institutionINFN University di Bari
dc.contributor.institutionINFN University di Bologna
dc.contributor.institutionCalifornia Institute of Technology
dc.contributor.institutionEuropean Organization for Nuclear Research (CERN)
dc.contributor.institutionFermi National Accelerator Laboratory
dc.contributor.institutionDeutsches Elektronen Synchrotron (DESY)
dc.contributor.institutionUniversity of Florida
dc.contributor.institutionEcole Polytechnique
dc.contributor.institutionINFN University di Trieste
dc.contributor.institutionInst. Fr Exp. Kernphysik Karlsruhe
dc.contributor.institutionMassachusetts Institute of Technology
dc.contributor.institutionUniversity of Nebraska-Lincoln
dc.contributor.institutionUniversitat Autònoma de Barcelona
dc.contributor.institutionCIEMAT
dc.contributor.institutionINFN University di Pisa
dc.contributor.institutionRutherford Appleton Laboratory
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUC San Diego
dc.contributor.institutionUniversity of Antwerpen
dc.contributor.institutionUniversity of Wisconsin
dc.contributor.institutionGhent University
dc.contributor.institutionVrije University Brussel
dc.contributor.institutionINFN
dc.contributor.institutionJohns Hopkins University
dc.date.accessioned2018-12-11T16:37:41Z
dc.date.available2018-12-11T16:37:41Z
dc.date.issued2014-01-01
dc.description.abstractDuring the first run, CMS collected and processed more than 10B data events and simulated more than 15B events. Up to 100k processor cores were used simultaneously and 100PB of storage was managed. Each month petabytes of data were moved and hundreds of users accessed data samples. In this document we discuss the operational experience from this first run. We present the workflows and data flows that were executed, and we discuss the tools and services developed, and the operations and shift models used to sustain the system. Many techniques were followed from the original computing planning, but some were reactions to difficulties and opportunities. We also address the lessons learned from an operational perspective, and how this is shaping our thoughts for 2015.en
dc.description.affiliationRWTH Aachen University, Aachen
dc.description.affiliationINFN University di Bari
dc.description.affiliationINFN University di Bologna
dc.description.affiliationCalifornia Institute of Technology
dc.description.affiliationEuropean Organization for Nuclear Research (CERN), Geneva
dc.description.affiliationFermi National Accelerator Laboratory, Batavia, IL
dc.description.affiliationDeutsches Elektronen Synchrotron (DESY), Hambug
dc.description.affiliationUniversity of Florida
dc.description.affiliationLLR Ecole Polytechnique
dc.description.affiliationINFN University di Trieste
dc.description.affiliationInst. Fr Exp. Kernphysik Karlsruhe
dc.description.affiliationMassachusetts Institute of Technology
dc.description.affiliationUniversity of Nebraska-Lincoln
dc.description.affiliationPort d'Informació Científica (PIC) Universitat Autònoma de Barcelona, Bellaterra (Barcelona)
dc.description.affiliationCentro de Investigaciones Energéticas Medioambientales y Tecnológicas CIEMAT, Madrid
dc.description.affiliationINFN University di Pisa
dc.description.affiliationRutherford Appleton Laboratory
dc.description.affiliationUniversity Estadual Paulista (UNESP), Sao Paulo
dc.description.affiliationUC San Diego, CA
dc.description.affiliationUniversity of Antwerpen
dc.description.affiliationUniversity of Wisconsin
dc.description.affiliationGhent University
dc.description.affiliationVrije University Brussel
dc.description.affiliationINFN, Padova
dc.description.affiliationJohns Hopkins University
dc.description.affiliationUnespUniversity Estadual Paulista (UNESP), Sao Paulo
dc.identifierhttp://dx.doi.org/10.1088/1742-6596/513/3/032040
dc.identifier.citationJournal of Physics: Conference Series, v. 513, n. TRACK 3, 2014.
dc.identifier.doi10.1088/1742-6596/513/3/032040
dc.identifier.file2-s2.0-84903436219.pdf
dc.identifier.issn1742-6596
dc.identifier.issn1742-6588
dc.identifier.scopus2-s2.0-84903436219
dc.identifier.urihttp://hdl.handle.net/11449/167627
dc.language.isoeng
dc.relation.ispartofJournal of Physics: Conference Series
dc.relation.ispartofsjr0,241
dc.relation.ispartofsjr0,241
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.titleCMS computing operations during run 1en
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication

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