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Sim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farm
The Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. The HLT farm provides more than 2,000 compute nodes, which are critical to ATLAS during data taking. When ATLAS is not recording data, this large com...
Autores principales: | , , , , , , , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2018
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2627969 |
_version_ | 1780959150516207616 |
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author | Berghaus, Frank Brasolin, Franco Casteels, Kevin Ebert, Marcus Leavett-brown, Colin Roy Lee, Christopher Jon Love, Peter Paterson, Michael Scannicchio, Diana Seuster, Rolf Sobie, Randall Taylor, Ryan P. Di Girolamo, Alessandro Schovancova, Jaroslava |
author_facet | Berghaus, Frank Brasolin, Franco Casteels, Kevin Ebert, Marcus Leavett-brown, Colin Roy Lee, Christopher Jon Love, Peter Paterson, Michael Scannicchio, Diana Seuster, Rolf Sobie, Randall Taylor, Ryan P. Di Girolamo, Alessandro Schovancova, Jaroslava |
author_sort | Berghaus, Frank |
collection | CERN |
description | The Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. The HLT farm provides more than 2,000 compute nodes, which are critical to ATLAS during data taking. When ATLAS is not recording data, this large compute resource is used to generate and process simulation data for the experiment. The Sim@P1 system uses virtual machines, deployed by OpenStack, in order to isolate the resources from the ATLAS technical and control network. During the upcoming long shutdown in 2019 (LS2), the HLT farm including the Sim@P1 infrastructure will be upgraded. A previous paper on the project emphasized the need for “simple, reliable, and efficient tools” to quickly switch between data acquisition operation and offline processing.In this contribution we assess various options for updating and simplifying the provisional tools. Cloudscheduler is a tool for provisioning cloud resources for batch computing that has been managing cloud resources in HEP offline computing since 2012. We present the argument for choosing Cloudscheduler, and describe technical details regarding optimal utilization of the Sim@P1 resources. |
id | cern-2627969 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
record_format | invenio |
spelling | cern-26279692019-09-30T06:29:59Zhttp://cds.cern.ch/record/2627969engBerghaus, FrankBrasolin, FrancoCasteels, KevinEbert, MarcusLeavett-brown, Colin RoyLee, Christopher JonLove, PeterPaterson, MichaelScannicchio, DianaSeuster, RolfSobie, RandallTaylor, Ryan P.Di Girolamo, AlessandroSchovancova, JaroslavaSim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farmParticle Physics - ExperimentThe Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. The HLT farm provides more than 2,000 compute nodes, which are critical to ATLAS during data taking. When ATLAS is not recording data, this large compute resource is used to generate and process simulation data for the experiment. The Sim@P1 system uses virtual machines, deployed by OpenStack, in order to isolate the resources from the ATLAS technical and control network. During the upcoming long shutdown in 2019 (LS2), the HLT farm including the Sim@P1 infrastructure will be upgraded. A previous paper on the project emphasized the need for “simple, reliable, and efficient tools” to quickly switch between data acquisition operation and offline processing.In this contribution we assess various options for updating and simplifying the provisional tools. Cloudscheduler is a tool for provisioning cloud resources for batch computing that has been managing cloud resources in HEP offline computing since 2012. We present the argument for choosing Cloudscheduler, and describe technical details regarding optimal utilization of the Sim@P1 resources.ATL-SOFT-SLIDE-2018-433oai:cds.cern.ch:26279692018-07-01 |
spellingShingle | Particle Physics - Experiment Berghaus, Frank Brasolin, Franco Casteels, Kevin Ebert, Marcus Leavett-brown, Colin Roy Lee, Christopher Jon Love, Peter Paterson, Michael Scannicchio, Diana Seuster, Rolf Sobie, Randall Taylor, Ryan P. Di Girolamo, Alessandro Schovancova, Jaroslava Sim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farm |
title | Sim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farm |
title_full | Sim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farm |
title_fullStr | Sim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farm |
title_full_unstemmed | Sim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farm |
title_short | Sim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farm |
title_sort | sim@p1: using cloudscheduler for offline processing on the atlas hlt farm |
topic | Particle Physics - Experiment |
url | http://cds.cern.ch/record/2627969 |
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