Cargando…
Using the CMS High Level Trigger as a Cloud Resource
The CMS High Level Trigger is a compute farm of more than 10,000 cores. During data taking this resource is heavily used and is an integral part of the experiment's triggering system. However, outside of data taking periods this resource is largely unused. We describe why CMS wants to use the H...
Autores principales: | , , , , , , , , , , , , |
---|---|
Lenguaje: | eng |
Publicado: |
2014
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/513/3/032019 http://cds.cern.ch/record/2026311 |
_version_ | 1780947345040474112 |
---|---|
author | Colling, David Huffman, Adam McCrae, Alison Lahiff, Andrew Grandi, Claudio Cinquilli, Mattia Gowdy, Stephen Coarasa, Jose Antonio Tiradani, Anthony Ozga, Wojciech Chaze, Olivier Sgaravatto, Massimo Bauer, Daniela |
author_facet | Colling, David Huffman, Adam McCrae, Alison Lahiff, Andrew Grandi, Claudio Cinquilli, Mattia Gowdy, Stephen Coarasa, Jose Antonio Tiradani, Anthony Ozga, Wojciech Chaze, Olivier Sgaravatto, Massimo Bauer, Daniela |
author_sort | Colling, David |
collection | CERN |
description | The CMS High Level Trigger is a compute farm of more than 10,000 cores. During data taking this resource is heavily used and is an integral part of the experiment's triggering system. However, outside of data taking periods this resource is largely unused. We describe why CMS wants to use the HLT as a cloud resource (outside of data taking periods) and how this has been achieved. In doing this we have turned a single-use cluster into an agile resource for CMS production computing. While we are able to use the HLT as a production cloud resource, there is still considerable further work that CMS needs to carry out before this resource can be used with the desired agility. This report, therefore, represents a snapshot of this activity at the time of CHEP 2013. |
id | oai-inspirehep.net-1301990 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
record_format | invenio |
spelling | oai-inspirehep.net-13019902022-08-17T13:29:05Zdoi:10.1088/1742-6596/513/3/032019http://cds.cern.ch/record/2026311engColling, DavidHuffman, AdamMcCrae, AlisonLahiff, AndrewGrandi, ClaudioCinquilli, MattiaGowdy, StephenCoarasa, Jose AntonioTiradani, AnthonyOzga, WojciechChaze, OlivierSgaravatto, MassimoBauer, DanielaUsing the CMS High Level Trigger as a Cloud ResourceComputing and ComputersDetectors and Experimental TechniquesThe CMS High Level Trigger is a compute farm of more than 10,000 cores. During data taking this resource is heavily used and is an integral part of the experiment's triggering system. However, outside of data taking periods this resource is largely unused. We describe why CMS wants to use the HLT as a cloud resource (outside of data taking periods) and how this has been achieved. In doing this we have turned a single-use cluster into an agile resource for CMS production computing. While we are able to use the HLT as a production cloud resource, there is still considerable further work that CMS needs to carry out before this resource can be used with the desired agility. This report, therefore, represents a snapshot of this activity at the time of CHEP 2013.oai:inspirehep.net:13019902014 |
spellingShingle | Computing and Computers Detectors and Experimental Techniques Colling, David Huffman, Adam McCrae, Alison Lahiff, Andrew Grandi, Claudio Cinquilli, Mattia Gowdy, Stephen Coarasa, Jose Antonio Tiradani, Anthony Ozga, Wojciech Chaze, Olivier Sgaravatto, Massimo Bauer, Daniela Using the CMS High Level Trigger as a Cloud Resource |
title | Using the CMS High Level Trigger as a Cloud Resource |
title_full | Using the CMS High Level Trigger as a Cloud Resource |
title_fullStr | Using the CMS High Level Trigger as a Cloud Resource |
title_full_unstemmed | Using the CMS High Level Trigger as a Cloud Resource |
title_short | Using the CMS High Level Trigger as a Cloud Resource |
title_sort | using the cms high level trigger as a cloud resource |
topic | Computing and Computers Detectors and Experimental Techniques |
url | https://dx.doi.org/10.1088/1742-6596/513/3/032019 http://cds.cern.ch/record/2026311 |
work_keys_str_mv | AT collingdavid usingthecmshighleveltriggerasacloudresource AT huffmanadam usingthecmshighleveltriggerasacloudresource AT mccraealison usingthecmshighleveltriggerasacloudresource AT lahiffandrew usingthecmshighleveltriggerasacloudresource AT grandiclaudio usingthecmshighleveltriggerasacloudresource AT cinquillimattia usingthecmshighleveltriggerasacloudresource AT gowdystephen usingthecmshighleveltriggerasacloudresource AT coarasajoseantonio usingthecmshighleveltriggerasacloudresource AT tiradanianthony usingthecmshighleveltriggerasacloudresource AT ozgawojciech usingthecmshighleveltriggerasacloudresource AT chazeolivier usingthecmshighleveltriggerasacloudresource AT sgaravattomassimo usingthecmshighleveltriggerasacloudresource AT bauerdaniela usingthecmshighleveltriggerasacloudresource |