Operational experience with the new CMS DAQ-Expert
The data acquisition (DAQ) system of the Compact Muon Solenoid (CMS) at CERN reads out the detector at the level-1 trigger accept rate of 100 kHz, assembles events with a bandwidth of 200 GB/s, provides these events to the high level-trigger running on a farm of about 30k cores and records the accep...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2019-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_01015.pdf |
| _version_ | 1818365273415090176 |
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| author | Andre Jean-Marc Behrens Ulf Branson James Brummer Philipp Cittolin Sergio da Silva Gomes Diego Darlea Georgiana-Lavinia Deldicque Christian Demiragli Zeynep Dobson Marc Doualot Nicolas Erhan Samim Fulcher Jonathan Richard Gigi Dominique Gladki Maciej Glege Frank Gomez-Ceballos Guillelmo Hegeman Jeroen Holzner Andre Lettrich Michael Mecionis Audrius Meijers Frans Meschi Emilio Mommsen Remigius K Morovic Srecko O´Dell Vivian Orsini Luciano Papakrivopoulos Ioannis Paus Christoph Petrucci Andrea Pieri Marco Rabady Dinyar Racz Attila Rapsevicius Valdas Reis Thomas Sakulin Hannes Schwick Christoph Simelevicius Dainius Stankevicius Mantas Vazquez Velez Cristina Vougioukas Michail Wernet Christian Zejdl Petr |
| author_facet | Andre Jean-Marc Behrens Ulf Branson James Brummer Philipp Cittolin Sergio da Silva Gomes Diego Darlea Georgiana-Lavinia Deldicque Christian Demiragli Zeynep Dobson Marc Doualot Nicolas Erhan Samim Fulcher Jonathan Richard Gigi Dominique Gladki Maciej Glege Frank Gomez-Ceballos Guillelmo Hegeman Jeroen Holzner Andre Lettrich Michael Mecionis Audrius Meijers Frans Meschi Emilio Mommsen Remigius K Morovic Srecko O´Dell Vivian Orsini Luciano Papakrivopoulos Ioannis Paus Christoph Petrucci Andrea Pieri Marco Rabady Dinyar Racz Attila Rapsevicius Valdas Reis Thomas Sakulin Hannes Schwick Christoph Simelevicius Dainius Stankevicius Mantas Vazquez Velez Cristina Vougioukas Michail Wernet Christian Zejdl Petr |
| author_sort | Andre Jean-Marc |
| collection | DOAJ |
| description | The data acquisition (DAQ) system of the Compact Muon Solenoid (CMS) at CERN reads out the detector at the level-1 trigger accept rate of 100 kHz, assembles events with a bandwidth of 200 GB/s, provides these events to the high level-trigger running on a farm of about 30k cores and records the accepted events. Comprising custom-built and cutting edge commercial hardware and several 1000 instances of software applications, the DAQ system is complex in itself and failures cannot be completely excluded. Moreover, problems in the readout of the detectors,in the first level trigger system or in the high level trigger may provoke anomalous behaviour of the DAQ systemwhich sometimes cannot easily be differentiated from a problem in the DAQ system itself. In order to achieve high data taking efficiency with operators from the entire collaboration and without relying too heavily on the on-call experts, an expert system, the DAQ-Expert, has been developed that can pinpoint the source of most failures and give advice to the shift crew on how to recover in the quickest way. The DAQ-Expert constantly analyzes monitoring data from the DAQ system and the high level trigger by making use of logic modules written in Java that encapsulate the expert knowledge about potential operational problems. The results of the reasoning are presented to the operator in a web-based dashboard, may trigger sound alerts in the control room and are archived for post-mortem analysis - presented in a web-based timeline browser. We present the design of the DAQ-Expert and report on the operational experience since 2017, when it was first put into production. |
| first_indexed | 2024-12-13T22:17:39Z |
| format | Article |
| id | doaj.art-df9716e15e834b8485f2aa719b663ecc |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-13T22:17:39Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-df9716e15e834b8485f2aa719b663ecc2022-12-21T23:29:28ZengEDP SciencesEPJ Web of Conferences2100-014X2019-01-012140101510.1051/epjconf/201921401015epjconf_chep2018_01015Operational experience with the new CMS DAQ-ExpertAndre Jean-MarcBehrens UlfBranson JamesBrummer PhilippCittolin Sergioda Silva Gomes DiegoDarlea Georgiana-LaviniaDeldicque ChristianDemiragli ZeynepDobson MarcDoualot NicolasErhan SamimFulcher Jonathan RichardGigi DominiqueGladki MaciejGlege FrankGomez-Ceballos GuillelmoHegeman JeroenHolzner AndreLettrich MichaelMecionis AudriusMeijers FransMeschi EmilioMommsen Remigius KMorovic SreckoO´Dell VivianOrsini LucianoPapakrivopoulos IoannisPaus ChristophPetrucci AndreaPieri MarcoRabady DinyarRacz AttilaRapsevicius ValdasReis ThomasSakulin HannesSchwick ChristophSimelevicius DainiusStankevicius MantasVazquez Velez CristinaVougioukas MichailWernet ChristianZejdl PetrThe data acquisition (DAQ) system of the Compact Muon Solenoid (CMS) at CERN reads out the detector at the level-1 trigger accept rate of 100 kHz, assembles events with a bandwidth of 200 GB/s, provides these events to the high level-trigger running on a farm of about 30k cores and records the accepted events. Comprising custom-built and cutting edge commercial hardware and several 1000 instances of software applications, the DAQ system is complex in itself and failures cannot be completely excluded. Moreover, problems in the readout of the detectors,in the first level trigger system or in the high level trigger may provoke anomalous behaviour of the DAQ systemwhich sometimes cannot easily be differentiated from a problem in the DAQ system itself. In order to achieve high data taking efficiency with operators from the entire collaboration and without relying too heavily on the on-call experts, an expert system, the DAQ-Expert, has been developed that can pinpoint the source of most failures and give advice to the shift crew on how to recover in the quickest way. The DAQ-Expert constantly analyzes monitoring data from the DAQ system and the high level trigger by making use of logic modules written in Java that encapsulate the expert knowledge about potential operational problems. The results of the reasoning are presented to the operator in a web-based dashboard, may trigger sound alerts in the control room and are archived for post-mortem analysis - presented in a web-based timeline browser. We present the design of the DAQ-Expert and report on the operational experience since 2017, when it was first put into production.https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_01015.pdf |
| spellingShingle | Andre Jean-Marc Behrens Ulf Branson James Brummer Philipp Cittolin Sergio da Silva Gomes Diego Darlea Georgiana-Lavinia Deldicque Christian Demiragli Zeynep Dobson Marc Doualot Nicolas Erhan Samim Fulcher Jonathan Richard Gigi Dominique Gladki Maciej Glege Frank Gomez-Ceballos Guillelmo Hegeman Jeroen Holzner Andre Lettrich Michael Mecionis Audrius Meijers Frans Meschi Emilio Mommsen Remigius K Morovic Srecko O´Dell Vivian Orsini Luciano Papakrivopoulos Ioannis Paus Christoph Petrucci Andrea Pieri Marco Rabady Dinyar Racz Attila Rapsevicius Valdas Reis Thomas Sakulin Hannes Schwick Christoph Simelevicius Dainius Stankevicius Mantas Vazquez Velez Cristina Vougioukas Michail Wernet Christian Zejdl Petr Operational experience with the new CMS DAQ-Expert EPJ Web of Conferences |
| title | Operational experience with the new CMS DAQ-Expert |
| title_full | Operational experience with the new CMS DAQ-Expert |
| title_fullStr | Operational experience with the new CMS DAQ-Expert |
| title_full_unstemmed | Operational experience with the new CMS DAQ-Expert |
| title_short | Operational experience with the new CMS DAQ-Expert |
| title_sort | operational experience with the new cms daq expert |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_01015.pdf |
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