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Integration of Cloud resources in the LHCb Distributed Computing

This contribution describes how Cloud resources have been integrated in the LHCb Distributed Computing. LHCb is using its specific Dirac extension (LHCbDirac) as an interware for its Distributed Computing. So far, it was seamlessly integrating Grid resources and Computer clusters. The cloud extensio...

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Autores principales: Ubeda Garcia, Mario, Mendez Munoz, V, Stagni, Federico, Cabarrou, Baptiste, Rauschmayr, Nathalie, Charpentier, Philippe, Closier, Joel
Publicado: 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/513/3/032099
http://cds.cern.ch/record/2055706
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author Ubeda Garcia, Mario
Mendez Munoz, V
Stagni, Federico
Cabarrou, Baptiste
Rauschmayr, Nathalie
Charpentier, Philippe
Closier, Joel
author_facet Ubeda Garcia, Mario
Mendez Munoz, V
Stagni, Federico
Cabarrou, Baptiste
Rauschmayr, Nathalie
Charpentier, Philippe
Closier, Joel
author_sort Ubeda Garcia, Mario
collection CERN
description This contribution describes how Cloud resources have been integrated in the LHCb Distributed Computing. LHCb is using its specific Dirac extension (LHCbDirac) as an interware for its Distributed Computing. So far, it was seamlessly integrating Grid resources and Computer clusters. The cloud extension of DIRAC (VMDIRAC) allows the integration of Cloud computing infrastructures. It is able to interact with multiple types of infrastructures in commercial and institutional clouds, supported by multiple interfaces (Amazon EC2, OpenNebula, OpenStack and CloudStack) – instantiates, monitors and manages Virtual Machines running on this aggregation of Cloud resources. Moreover, specifications for institutional Cloud resources proposed by Worldwide LHC Computing Grid (WLCG), mainly by the High Energy Physics Unix Information Exchange (HEPiX) group, have been taken into account. Several initiatives and computing resource providers in the eScience environment have already deployed IaaS in production during 2013. Keeping this on mind, pros and cons of a cloud based infrasctructure have been studied in contrast with the current setup. As a result, this work addresses four different use cases which represent a major improvement on several levels of our infrastructure. We describe the solution implemented by LHCb for the contextualisation of the VMs based on the idea of Cloud Site. We report on operational experience of using in production several institutional Cloud resources that are thus becoming integral part of the LHCb Distributed Computing resources. Furthermore, we describe as well the gradual migration of our Service Infrastructure towards a fully distributed architecture following the Service as a Service (SaaS) model.
id cern-2055706
institution Organización Europea para la Investigación Nuclear
publishDate 2014
record_format invenio
spelling cern-20557062022-08-17T13:32:45Zdoi:10.1088/1742-6596/513/3/032099http://cds.cern.ch/record/2055706Ubeda Garcia, MarioMendez Munoz, VStagni, FedericoCabarrou, BaptisteRauschmayr, NathalieCharpentier, PhilippeClosier, JoelIntegration of Cloud resources in the LHCb Distributed ComputingComputing and ComputersThis contribution describes how Cloud resources have been integrated in the LHCb Distributed Computing. LHCb is using its specific Dirac extension (LHCbDirac) as an interware for its Distributed Computing. So far, it was seamlessly integrating Grid resources and Computer clusters. The cloud extension of DIRAC (VMDIRAC) allows the integration of Cloud computing infrastructures. It is able to interact with multiple types of infrastructures in commercial and institutional clouds, supported by multiple interfaces (Amazon EC2, OpenNebula, OpenStack and CloudStack) – instantiates, monitors and manages Virtual Machines running on this aggregation of Cloud resources. Moreover, specifications for institutional Cloud resources proposed by Worldwide LHC Computing Grid (WLCG), mainly by the High Energy Physics Unix Information Exchange (HEPiX) group, have been taken into account. Several initiatives and computing resource providers in the eScience environment have already deployed IaaS in production during 2013. Keeping this on mind, pros and cons of a cloud based infrasctructure have been studied in contrast with the current setup. As a result, this work addresses four different use cases which represent a major improvement on several levels of our infrastructure. We describe the solution implemented by LHCb for the contextualisation of the VMs based on the idea of Cloud Site. We report on operational experience of using in production several institutional Cloud resources that are thus becoming integral part of the LHCb Distributed Computing resources. Furthermore, we describe as well the gradual migration of our Service Infrastructure towards a fully distributed architecture following the Service as a Service (SaaS) model.oai:cds.cern.ch:20557062014
spellingShingle Computing and Computers
Ubeda Garcia, Mario
Mendez Munoz, V
Stagni, Federico
Cabarrou, Baptiste
Rauschmayr, Nathalie
Charpentier, Philippe
Closier, Joel
Integration of Cloud resources in the LHCb Distributed Computing
title Integration of Cloud resources in the LHCb Distributed Computing
title_full Integration of Cloud resources in the LHCb Distributed Computing
title_fullStr Integration of Cloud resources in the LHCb Distributed Computing
title_full_unstemmed Integration of Cloud resources in the LHCb Distributed Computing
title_short Integration of Cloud resources in the LHCb Distributed Computing
title_sort integration of cloud resources in the lhcb distributed computing
topic Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/513/3/032099
http://cds.cern.ch/record/2055706
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