Advanced Monitoring Techniques for the Atlas TDAQ Data Network

We describe the methods used to monitor and measure the performance of the Atlas TDAQ data network. The network consists of four distinct Ethernet networks interconnecting over 4000 ports using up to 200 edge switches and five multi-blade chassis. The edge networks run at 1Gbps and 10Gb/s are used f...

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Detalles Bibliográficos
Autores principales: Batraneanu, Silvia, Ciobotaru, Matei, Leahu, Lucian, Stancu, Stefan, Martin, Brian, Al-Shabibi, Ali, Darlea, Georgiana, Ivanovici, Mihail
Lenguaje:eng
Publicado: 2008
Materias:
Information Transfer and Management
Acceso en línea:http://cds.cern.ch/record/1180834
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author Batraneanu, Silvia
Ciobotaru, Matei
Leahu, Lucian
Stancu, Stefan
Martin, Brian
Al-Shabibi, Ali
Darlea, Georgiana
Ivanovici, Mihail
author_facet Batraneanu, Silvia
Ciobotaru, Matei
Leahu, Lucian
Stancu, Stefan
Martin, Brian
Al-Shabibi, Ali
Darlea, Georgiana
Ivanovici, Mihail
author_sort Batraneanu, Silvia
collection CERN
description We describe the methods used to monitor and measure the performance of the Atlas TDAQ data network. The network consists of four distinct Ethernet networks interconnecting over 4000 ports using up to 200 edge switches and five multi-blade chassis. The edge networks run at 1Gbps and 10Gb/s are used for the detectors raw data flow as well as at the cores of the data flow networks. The networks feed event data to farms of up to 3000 processors. Trigger applications running on these processors examine each event for acceptability and assemble the accepted events ready for storage and further processing on Grid linked data centers. We report in detail on the monitoring and measurement techniques deployed and developed.
id cern-1180834
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2008
record_format invenio
spelling cern-11808342019-09-30T06:29:59Zhttp://cds.cern.ch/record/1180834engBatraneanu, SilviaCiobotaru, MateiLeahu, LucianStancu, StefanMartin, BrianAl-Shabibi, AliDarlea, GeorgianaIvanovici, MihailAdvanced Monitoring Techniques for the Atlas TDAQ Data NetworkInformation Transfer and ManagementWe describe the methods used to monitor and measure the performance of the Atlas TDAQ data network. The network consists of four distinct Ethernet networks interconnecting over 4000 ports using up to 200 edge switches and five multi-blade chassis. The edge networks run at 1Gbps and 10Gb/s are used for the detectors raw data flow as well as at the cores of the data flow networks. The networks feed event data to farms of up to 3000 processors. Trigger applications running on these processors examine each event for acceptability and assemble the accepted events ready for storage and further processing on Grid linked data centers. We report in detail on the monitoring and measurement techniques deployed and developed.oai:cds.cern.ch:11808342008
spellingShingle Information Transfer and Management
Batraneanu, Silvia
Ciobotaru, Matei
Leahu, Lucian
Stancu, Stefan
Martin, Brian
Al-Shabibi, Ali
Darlea, Georgiana
Ivanovici, Mihail
Advanced Monitoring Techniques for the Atlas TDAQ Data Network
title Advanced Monitoring Techniques for the Atlas TDAQ Data Network
title_full Advanced Monitoring Techniques for the Atlas TDAQ Data Network
title_fullStr Advanced Monitoring Techniques for the Atlas TDAQ Data Network
title_full_unstemmed Advanced Monitoring Techniques for the Atlas TDAQ Data Network
title_short Advanced Monitoring Techniques for the Atlas TDAQ Data Network
title_sort advanced monitoring techniques for the atlas tdaq data network
topic Information Transfer and Management
url http://cds.cern.ch/record/1180834
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AT ciobotarumatei advancedmonitoringtechniquesfortheatlastdaqdatanetwork
AT leahulucian advancedmonitoringtechniquesfortheatlastdaqdatanetwork
AT stancustefan advancedmonitoringtechniquesfortheatlastdaqdatanetwork
AT martinbrian advancedmonitoringtechniquesfortheatlastdaqdatanetwork
AT alshabibiali advancedmonitoringtechniquesfortheatlastdaqdatanetwork
AT darleageorgiana advancedmonitoringtechniquesfortheatlastdaqdatanetwork
AT ivanovicimihail advancedmonitoringtechniquesfortheatlastdaqdatanetwork

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