Sharing server nodes for storage and computer

Based on the observation of low average CPU utilisation of several hundred file storage servers in the EOS storage system at CERN, the Batch on EOS Extra Resources (BEER) project developed an approach to also utilise these resources for batch processing. Initial proof of concept tests showed little...

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Main Authors: Smith David, Di Girolamo Alessandro, Glushkov Ivan, Jones Ben, Kiryanov Andrey, Lamanna Massimo, Mascetti Luca, McCance Gavin, Rousseau Herve, Schovancová Jaroslava, Schulz Markus, Tollefsen Havard, Valassi Andrea
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_08025.pdf
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spelling doaj-6ccd510248a9438a835c3309eda909ea2021-08-02T09:59:49ZengEDP SciencesEPJ Web of Conferences2100-014X2019-01-012140802510.1051/epjconf/201921408025epjconf_chep2018_08025Sharing server nodes for storage and computerSmith DavidDi Girolamo AlessandroGlushkov IvanJones BenKiryanov AndreyLamanna MassimoMascetti LucaMcCance GavinRousseau HerveSchovancová JaroslavaSchulz MarkusTollefsen HavardValassi AndreaBased on the observation of low average CPU utilisation of several hundred file storage servers in the EOS storage system at CERN, the Batch on EOS Extra Resources (BEER) project developed an approach to also utilise these resources for batch processing. Initial proof of concept tests showed little interference between batch and storage services on a node. Subsequently a model for production was developed and implemented. This has been deployed on part of the CERN EOS production service. The implementation and test results will be presented. The potential for additional resources at the CERN Tier-0 centre is of the order of ten thousand hardware threads in the near term, as well as being a step towards a hyper-converged infrastructure.https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_08025.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Smith David
Di Girolamo Alessandro
Glushkov Ivan
Jones Ben
Kiryanov Andrey
Lamanna Massimo
Mascetti Luca
McCance Gavin
Rousseau Herve
Schovancová Jaroslava
Schulz Markus
Tollefsen Havard
Valassi Andrea
spellingShingle Smith David
Di Girolamo Alessandro
Glushkov Ivan
Jones Ben
Kiryanov Andrey
Lamanna Massimo
Mascetti Luca
McCance Gavin
Rousseau Herve
Schovancová Jaroslava
Schulz Markus
Tollefsen Havard
Valassi Andrea
Sharing server nodes for storage and computer
EPJ Web of Conferences
author_facet Smith David
Di Girolamo Alessandro
Glushkov Ivan
Jones Ben
Kiryanov Andrey
Lamanna Massimo
Mascetti Luca
McCance Gavin
Rousseau Herve
Schovancová Jaroslava
Schulz Markus
Tollefsen Havard
Valassi Andrea
author_sort Smith David
title Sharing server nodes for storage and computer
title_short Sharing server nodes for storage and computer
title_full Sharing server nodes for storage and computer
title_fullStr Sharing server nodes for storage and computer
title_full_unstemmed Sharing server nodes for storage and computer
title_sort sharing server nodes for storage and computer
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2019-01-01
description Based on the observation of low average CPU utilisation of several hundred file storage servers in the EOS storage system at CERN, the Batch on EOS Extra Resources (BEER) project developed an approach to also utilise these resources for batch processing. Initial proof of concept tests showed little interference between batch and storage services on a node. Subsequently a model for production was developed and implemented. This has been deployed on part of the CERN EOS production service. The implementation and test results will be presented. The potential for additional resources at the CERN Tier-0 centre is of the order of ten thousand hardware threads in the near term, as well as being a step towards a hyper-converged infrastructure.
url https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_08025.pdf
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