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File-Based Data Flow in the CMS Filter Farm

During the LHC Long Shutdown 1, the CMS Data Acquisition system underwent a partial redesign to replace obsolete network equipment, use more homogeneous switching technologies, and prepare the ground for future upgrades of the detector front-ends. The software and hardware infrastructure to provide...

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Detalles Bibliográficos
Autores principales: Andre, J M, Andronidis, A, Bawej, T, Behrens, U, Branson, J, Chaze, O, Cittolin, S, Darlea, G L, Deldicque, C, Dobson, M, Dupont, A, Erhan, S, Gigi, D, Glege, F, Gomez-Ceballos, G, Hegeman, J, Holzner, A, Jimenez-Estupiñán, R, Masetti, L, Meijers, F, Meschi, E, Mommsen, R K, Morovic, S, Nunez-Barranco-Fernandez, C, O'Dell, V, Orsini, L, Paus, C, Petrucci, A, Pieri, M, Racz, A, Roberts, P, Sakulin, H, Schwick, C, Stieger, B, Sumorok, K, Veverka, J, Zaza, S, Zejdl, P
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/664/8/082033
http://cds.cern.ch/record/2134635
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author Andre, J M
Andronidis, A
Bawej, T
Behrens, U
Branson, J
Chaze, O
Cittolin, S
Darlea, G L
Deldicque, C
Dobson, M
Dupont, A
Erhan, S
Gigi, D
Glege, F
Gomez-Ceballos, G
Hegeman, J
Holzner, A
Jimenez-Estupiñán, R
Masetti, L
Meijers, F
Meschi, E
Mommsen, R K
Morovic, S
Nunez-Barranco-Fernandez, C
O'Dell, V
Orsini, L
Paus, C
Petrucci, A
Pieri, M
Racz, A
Roberts, P
Sakulin, H
Schwick, C
Stieger, B
Sumorok, K
Veverka, J
Zaza, S
Zejdl, P
author_facet Andre, J M
Andronidis, A
Bawej, T
Behrens, U
Branson, J
Chaze, O
Cittolin, S
Darlea, G L
Deldicque, C
Dobson, M
Dupont, A
Erhan, S
Gigi, D
Glege, F
Gomez-Ceballos, G
Hegeman, J
Holzner, A
Jimenez-Estupiñán, R
Masetti, L
Meijers, F
Meschi, E
Mommsen, R K
Morovic, S
Nunez-Barranco-Fernandez, C
O'Dell, V
Orsini, L
Paus, C
Petrucci, A
Pieri, M
Racz, A
Roberts, P
Sakulin, H
Schwick, C
Stieger, B
Sumorok, K
Veverka, J
Zaza, S
Zejdl, P
author_sort Andre, J M
collection CERN
description During the LHC Long Shutdown 1, the CMS Data Acquisition system underwent a partial redesign to replace obsolete network equipment, use more homogeneous switching technologies, and prepare the ground for future upgrades of the detector front-ends. The software and hardware infrastructure to provide input, execute the High Level Trigger (HLT) algorithms and deal with output data transport and storage has also been redesigned to be completely file- based. This approach provides additional decoupling between the HLT algorithms and the input and output data flow. All the metadata needed for bookkeeping of the data flow and the HLT process lifetimes are also generated in the form of small “documents” using the JSON encoding, by either services in the flow of the HLT execution (for rates etc.) or watchdog processes. These “files” can remain memory-resident or be written to disk if they are to be used in another part of the system (e.g. for aggregation of output data). We discuss how this redesign improves the robustness and flexibility of the CMS DAQ and the performance of the system currently being commissioned for the LHC Run 2.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
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spelling oai-inspirehep.net-14140572022-08-10T12:59:25Zdoi:10.1088/1742-6596/664/8/082033http://cds.cern.ch/record/2134635engAndre, J MAndronidis, ABawej, TBehrens, UBranson, JChaze, OCittolin, SDarlea, G LDeldicque, CDobson, MDupont, AErhan, SGigi, DGlege, FGomez-Ceballos, GHegeman, JHolzner, AJimenez-Estupiñán, RMasetti, LMeijers, FMeschi, EMommsen, R KMorovic, SNunez-Barranco-Fernandez, CO'Dell, VOrsini, LPaus, CPetrucci, APieri, MRacz, ARoberts, PSakulin, HSchwick, CStieger, BSumorok, KVeverka, JZaza, SZejdl, PFile-Based Data Flow in the CMS Filter FarmComputing and ComputersDuring the LHC Long Shutdown 1, the CMS Data Acquisition system underwent a partial redesign to replace obsolete network equipment, use more homogeneous switching technologies, and prepare the ground for future upgrades of the detector front-ends. The software and hardware infrastructure to provide input, execute the High Level Trigger (HLT) algorithms and deal with output data transport and storage has also been redesigned to be completely file- based. This approach provides additional decoupling between the HLT algorithms and the input and output data flow. All the metadata needed for bookkeeping of the data flow and the HLT process lifetimes are also generated in the form of small “documents” using the JSON encoding, by either services in the flow of the HLT execution (for rates etc.) or watchdog processes. These “files” can remain memory-resident or be written to disk if they are to be used in another part of the system (e.g. for aggregation of output data). We discuss how this redesign improves the robustness and flexibility of the CMS DAQ and the performance of the system currently being commissioned for the LHC Run 2.FERMILAB-CONF-15-601-Eoai:inspirehep.net:14140572015
spellingShingle Computing and Computers
Andre, J M
Andronidis, A
Bawej, T
Behrens, U
Branson, J
Chaze, O
Cittolin, S
Darlea, G L
Deldicque, C
Dobson, M
Dupont, A
Erhan, S
Gigi, D
Glege, F
Gomez-Ceballos, G
Hegeman, J
Holzner, A
Jimenez-Estupiñán, R
Masetti, L
Meijers, F
Meschi, E
Mommsen, R K
Morovic, S
Nunez-Barranco-Fernandez, C
O'Dell, V
Orsini, L
Paus, C
Petrucci, A
Pieri, M
Racz, A
Roberts, P
Sakulin, H
Schwick, C
Stieger, B
Sumorok, K
Veverka, J
Zaza, S
Zejdl, P
File-Based Data Flow in the CMS Filter Farm
title File-Based Data Flow in the CMS Filter Farm
title_full File-Based Data Flow in the CMS Filter Farm
title_fullStr File-Based Data Flow in the CMS Filter Farm
title_full_unstemmed File-Based Data Flow in the CMS Filter Farm
title_short File-Based Data Flow in the CMS Filter Farm
title_sort file-based data flow in the cms filter farm
topic Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/664/8/082033
http://cds.cern.ch/record/2134635
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