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Benchmarking Data Acquisition event building network performance for the ATLAS HL-LHC upgrade

The ATLAS experiment’s data acquisition (DAQ) system will be extensively updated to take full advantage of the High-Luminosity LHC (HL- LHC) upgrade, allowing it to record data at unprecedented rates. The detector will be read out at 1 MHz, generating over 5 TB/s of data. This design poses significa...

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Autores principales: Pozo Astigarraga, Eukeni, Bonaventura, Matias, Maple, James, Pecker Marcosig, Ezequiel, Levrini, Giacomo, Castro, Rodrigo Daniel
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:http://cds.cern.ch/record/2872107
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author Pozo Astigarraga, Eukeni
Bonaventura, Matias
Maple, James
Pecker Marcosig, Ezequiel
Levrini, Giacomo
Castro, Rodrigo Daniel
author_facet Pozo Astigarraga, Eukeni
Bonaventura, Matias
Maple, James
Pecker Marcosig, Ezequiel
Levrini, Giacomo
Castro, Rodrigo Daniel
author_sort Pozo Astigarraga, Eukeni
collection CERN
description The ATLAS experiment’s data acquisition (DAQ) system will be extensively updated to take full advantage of the High-Luminosity LHC (HL- LHC) upgrade, allowing it to record data at unprecedented rates. The detector will be read out at 1 MHz, generating over 5 TB/s of data. This design poses significant challenges for the Ethernet-based network, which will have to trans- port 20 times more data than during Run 3. The increased data rate, data sizes and number of servers will exacerbate the TCP Incast effect observed in the past, making it impossible to fully exploit the capabilities of the network and limiting the performance of the processing farm. We present exhaustive and systematic experiments to define buffering requirements in network equipment to minimise the effects of TCP Incast and reduce the impact on processing applications. Both deep and shallow buffer switches were stress tested using DAQ traffic patterns in a test environment at approximately 10% of the expected HL-LHC DAQ system size. As the desired HL-LHC system hardware is not currently avail- able and the laboratory size is significantly smaller, the tests aim to extrapolate buffer requirements to the expected operating point. A novel analytical formula and new simulation models have been developed to cross-validate the results. The results of these evaluations will contribute to the decision-making process for the acquisitions of network hardware for the HL-LHC DAQ.
id cern-2872107
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2023
record_format invenio
spelling cern-28721072023-09-22T21:46:08Zhttp://cds.cern.ch/record/2872107engPozo Astigarraga, EukeniBonaventura, MatiasMaple, JamesPecker Marcosig, EzequielLevrini, GiacomoCastro, Rodrigo DanielBenchmarking Data Acquisition event building network performance for the ATLAS HL-LHC upgradeParticle Physics - ExperimentThe ATLAS experiment’s data acquisition (DAQ) system will be extensively updated to take full advantage of the High-Luminosity LHC (HL- LHC) upgrade, allowing it to record data at unprecedented rates. The detector will be read out at 1 MHz, generating over 5 TB/s of data. This design poses significant challenges for the Ethernet-based network, which will have to trans- port 20 times more data than during Run 3. The increased data rate, data sizes and number of servers will exacerbate the TCP Incast effect observed in the past, making it impossible to fully exploit the capabilities of the network and limiting the performance of the processing farm. We present exhaustive and systematic experiments to define buffering requirements in network equipment to minimise the effects of TCP Incast and reduce the impact on processing applications. Both deep and shallow buffer switches were stress tested using DAQ traffic patterns in a test environment at approximately 10% of the expected HL-LHC DAQ system size. As the desired HL-LHC system hardware is not currently avail- able and the laboratory size is significantly smaller, the tests aim to extrapolate buffer requirements to the expected operating point. A novel analytical formula and new simulation models have been developed to cross-validate the results. The results of these evaluations will contribute to the decision-making process for the acquisitions of network hardware for the HL-LHC DAQ.ATL-DAQ-PROC-2023-009oai:cds.cern.ch:28721072023-09-22
spellingShingle Particle Physics - Experiment
Pozo Astigarraga, Eukeni
Bonaventura, Matias
Maple, James
Pecker Marcosig, Ezequiel
Levrini, Giacomo
Castro, Rodrigo Daniel
Benchmarking Data Acquisition event building network performance for the ATLAS HL-LHC upgrade
title Benchmarking Data Acquisition event building network performance for the ATLAS HL-LHC upgrade
title_full Benchmarking Data Acquisition event building network performance for the ATLAS HL-LHC upgrade
title_fullStr Benchmarking Data Acquisition event building network performance for the ATLAS HL-LHC upgrade
title_full_unstemmed Benchmarking Data Acquisition event building network performance for the ATLAS HL-LHC upgrade
title_short Benchmarking Data Acquisition event building network performance for the ATLAS HL-LHC upgrade
title_sort benchmarking data acquisition event building network performance for the atlas hl-lhc upgrade
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2872107
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AT bonaventuramatias benchmarkingdataacquisitioneventbuildingnetworkperformancefortheatlashllhcupgrade
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