CMS Connect
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1088/1742-6596/898/8/082032 http://hdl.handle.net/11449/220983 |
Resumo: | The CMS experiment collects and analyzes large amounts of data coming from high energy particle collisions produced by the Large Hadron Collider (LHC) at CERN. This involves a huge amount of real and simulated data processing that needs to be handled in batch-oriented platforms. The CMS Global Pool of computing resources provide +100K dedicated CPU cores and another 50K to 100K CPU cores from opportunistic resources for these kind of tasks and even though production and event processing analysis workflows are already managed by existing tools, there is still a lack of support to submit final stage condor-like analysis jobs familiar to Tier-3 or local Computing Facilities users into these distributed resources in an integrated (with other CMS services) and friendly way. CMS Connect is a set of computing tools and services designed to augment existing services in the CMS Physics community focusing on these kind of condor analysis jobs. It is based on the CI-Connect platform developed by the Open Science Grid and uses the CMS GlideInWMS infrastructure to transparently plug CMS global grid resources into a virtual pool accessed via a single submission machine. This paper describes the specific developments and deployment of CMS Connect beyond the CI-Connect platform in order to integrate the service with CMS specific needs, including specific Site submission, accounting of jobs and automated reporting to standard CMS monitoring resources in an effortless way to their users. |
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CMS ConnectThe CMS experiment collects and analyzes large amounts of data coming from high energy particle collisions produced by the Large Hadron Collider (LHC) at CERN. This involves a huge amount of real and simulated data processing that needs to be handled in batch-oriented platforms. The CMS Global Pool of computing resources provide +100K dedicated CPU cores and another 50K to 100K CPU cores from opportunistic resources for these kind of tasks and even though production and event processing analysis workflows are already managed by existing tools, there is still a lack of support to submit final stage condor-like analysis jobs familiar to Tier-3 or local Computing Facilities users into these distributed resources in an integrated (with other CMS services) and friendly way. CMS Connect is a set of computing tools and services designed to augment existing services in the CMS Physics community focusing on these kind of condor analysis jobs. It is based on the CI-Connect platform developed by the Open Science Grid and uses the CMS GlideInWMS infrastructure to transparently plug CMS global grid resources into a virtual pool accessed via a single submission machine. This paper describes the specific developments and deployment of CMS Connect beyond the CI-Connect platform in order to integrate the service with CMS specific needs, including specific Site submission, accounting of jobs and automated reporting to standard CMS monitoring resources in an effortless way to their users.California Institute of TechnologyUniversity of Nebraska-LincolnUniversity of ChicagoUniversity of Notre DameFermi National Accelerator LaboratoryNational Centre for Physics Quaid-I-Azam UniversityUniversity of CaliforniaUniversidade Estadual Paulista Sao PauloPort d'Informació CientificaCentro de Investigaciones Energéticas Medioambientales y TecnológicasUniversidade Estadual Paulista Sao PauloCalifornia Institute of TechnologyUniversity of Nebraska-LincolnUniversity of ChicagoUniversity of Notre DameFermi National Accelerator LaboratoryQuaid-I-Azam UniversityUniversity of CaliforniaUniversidade Estadual Paulista (UNESP)Port d'Informació CientificaCentro de Investigaciones Energéticas Medioambientales y TecnológicasBalcas, J.Bockelman, B.Gardner, R.Hurtado Anampa, K.Jayatilaka, B.Aftab Khan, F.Lannon, K.Larson, K.Letts, J.Da Silva, J Marra [UNESP]Mascheroni, M.Mason, D.Perez-Calero Yzquierdo, A.Tiradani, A.2022-04-28T19:07:11Z2022-04-28T19:07:11Z2017-11-23info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1088/1742-6596/898/8/082032Journal of Physics: Conference Series, v. 898, n. 8, 2017.1742-65961742-6588http://hdl.handle.net/11449/22098310.1088/1742-6596/898/8/0820322-s2.0-85038416724Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Physics: Conference Seriesinfo:eu-repo/semantics/openAccess2022-04-28T19:07:11Zoai:repositorio.unesp.br:11449/220983Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:07:11Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
CMS Connect |
title |
CMS Connect |
spellingShingle |
CMS Connect Balcas, J. |
title_short |
CMS Connect |
title_full |
CMS Connect |
title_fullStr |
CMS Connect |
title_full_unstemmed |
CMS Connect |
title_sort |
CMS Connect |
author |
Balcas, J. |
author_facet |
Balcas, J. Bockelman, B. Gardner, R. Hurtado Anampa, K. Jayatilaka, B. Aftab Khan, F. Lannon, K. Larson, K. Letts, J. Da Silva, J Marra [UNESP] Mascheroni, M. Mason, D. Perez-Calero Yzquierdo, A. Tiradani, A. |
author_role |
author |
author2 |
Bockelman, B. Gardner, R. Hurtado Anampa, K. Jayatilaka, B. Aftab Khan, F. Lannon, K. Larson, K. Letts, J. Da Silva, J Marra [UNESP] Mascheroni, M. Mason, D. Perez-Calero Yzquierdo, A. Tiradani, A. |
author2_role |
author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
California Institute of Technology University of Nebraska-Lincoln University of Chicago University of Notre Dame Fermi National Accelerator Laboratory Quaid-I-Azam University University of California Universidade Estadual Paulista (UNESP) Port d'Informació Cientifica Centro de Investigaciones Energéticas Medioambientales y Tecnológicas |
dc.contributor.author.fl_str_mv |
Balcas, J. Bockelman, B. Gardner, R. Hurtado Anampa, K. Jayatilaka, B. Aftab Khan, F. Lannon, K. Larson, K. Letts, J. Da Silva, J Marra [UNESP] Mascheroni, M. Mason, D. Perez-Calero Yzquierdo, A. Tiradani, A. |
description |
The CMS experiment collects and analyzes large amounts of data coming from high energy particle collisions produced by the Large Hadron Collider (LHC) at CERN. This involves a huge amount of real and simulated data processing that needs to be handled in batch-oriented platforms. The CMS Global Pool of computing resources provide +100K dedicated CPU cores and another 50K to 100K CPU cores from opportunistic resources for these kind of tasks and even though production and event processing analysis workflows are already managed by existing tools, there is still a lack of support to submit final stage condor-like analysis jobs familiar to Tier-3 or local Computing Facilities users into these distributed resources in an integrated (with other CMS services) and friendly way. CMS Connect is a set of computing tools and services designed to augment existing services in the CMS Physics community focusing on these kind of condor analysis jobs. It is based on the CI-Connect platform developed by the Open Science Grid and uses the CMS GlideInWMS infrastructure to transparently plug CMS global grid resources into a virtual pool accessed via a single submission machine. This paper describes the specific developments and deployment of CMS Connect beyond the CI-Connect platform in order to integrate the service with CMS specific needs, including specific Site submission, accounting of jobs and automated reporting to standard CMS monitoring resources in an effortless way to their users. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-11-23 2022-04-28T19:07:11Z 2022-04-28T19:07:11Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1088/1742-6596/898/8/082032 Journal of Physics: Conference Series, v. 898, n. 8, 2017. 1742-6596 1742-6588 http://hdl.handle.net/11449/220983 10.1088/1742-6596/898/8/082032 2-s2.0-85038416724 |
url |
http://dx.doi.org/10.1088/1742-6596/898/8/082032 http://hdl.handle.net/11449/220983 |
identifier_str_mv |
Journal of Physics: Conference Series, v. 898, n. 8, 2017. 1742-6596 1742-6588 10.1088/1742-6596/898/8/082032 2-s2.0-85038416724 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Physics: Conference Series |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1797789291378638848 |