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Commissioning the CERN IT Agile Infrastructure with experiment workloads

In order to ease the management of their infrastructure, most of the WLCG sites are adopting cloud based strategies. In the case of CERN, the Tier 0 of the WLCG, is completely restructuring the resource and configuration management of their computing center under the codename Agile Infrastructure. I...

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Autores principales: Medrano Llamas, Ramón, Barreiro Megino, Fernando Harald, Kucharczyk, Katarzyna, Denis, Marek Kamil, Cinquilli, Mattia
Lenguaje:eng
Publicado: 2013
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/513/3/032066
http://cds.cern.ch/record/1622187
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author Medrano Llamas, Ramón
Barreiro Megino, Fernando Harald
Kucharczyk, Katarzyna
Denis, Marek Kamil
Cinquilli, Mattia
author_facet Medrano Llamas, Ramón
Barreiro Megino, Fernando Harald
Kucharczyk, Katarzyna
Denis, Marek Kamil
Cinquilli, Mattia
author_sort Medrano Llamas, Ramón
collection CERN
description In order to ease the management of their infrastructure, most of the WLCG sites are adopting cloud based strategies. In the case of CERN, the Tier 0 of the WLCG, is completely restructuring the resource and configuration management of their computing center under the codename Agile Infrastructure. Its goal is to manage 15,000 Virtual Machines by means of an OpenStack middleware in order to unify all the resources in CERN's two datacenters: the one placed in Meyrin and the new on in Wigner, Hungary. During the commissioning of this infrastructure, CERN IT is offering an attractive amount of computing resources to the experiments (800 cores for ATLAS and CMS) through a private cloud interface. ATLAS and CMS have joined forces to exploit them by running stress tests and simulation workloads since November 2012. This work will describe the experience of the first deployments of the current experiment workloads on the CERN private cloud testbed. The paper is organized as follows: the first section will explain the integration of the experiment workload management systems (WMS) with the cloud resources. The second section will revisit the performance and stress testing performed with HammerCloud in order to evaluate and compare the suitability for the experiment workloads. The third section will go deeper into the dynamic provisioning techniques, such as the use of the cloud APIs directly by the WMS. The paper finishes with a review of the conclusions and the challenges ahead.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
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spelling cern-16221872022-08-17T13:24:35Zdoi:10.1088/1742-6596/513/3/032066http://cds.cern.ch/record/1622187engMedrano Llamas, RamónBarreiro Megino, Fernando HaraldKucharczyk, KatarzynaDenis, Marek KamilCinquilli, MattiaCommissioning the CERN IT Agile Infrastructure with experiment workloadsComputing and ComputersIn order to ease the management of their infrastructure, most of the WLCG sites are adopting cloud based strategies. In the case of CERN, the Tier 0 of the WLCG, is completely restructuring the resource and configuration management of their computing center under the codename Agile Infrastructure. Its goal is to manage 15,000 Virtual Machines by means of an OpenStack middleware in order to unify all the resources in CERN's two datacenters: the one placed in Meyrin and the new on in Wigner, Hungary. During the commissioning of this infrastructure, CERN IT is offering an attractive amount of computing resources to the experiments (800 cores for ATLAS and CMS) through a private cloud interface. ATLAS and CMS have joined forces to exploit them by running stress tests and simulation workloads since November 2012. This work will describe the experience of the first deployments of the current experiment workloads on the CERN private cloud testbed. The paper is organized as follows: the first section will explain the integration of the experiment workload management systems (WMS) with the cloud resources. The second section will revisit the performance and stress testing performed with HammerCloud in order to evaluate and compare the suitability for the experiment workloads. The third section will go deeper into the dynamic provisioning techniques, such as the use of the cloud APIs directly by the WMS. The paper finishes with a review of the conclusions and the challenges ahead.CERN-IT-2013-003oai:cds.cern.ch:16221872013-10-14
spellingShingle Computing and Computers
Medrano Llamas, Ramón
Barreiro Megino, Fernando Harald
Kucharczyk, Katarzyna
Denis, Marek Kamil
Cinquilli, Mattia
Commissioning the CERN IT Agile Infrastructure with experiment workloads
title Commissioning the CERN IT Agile Infrastructure with experiment workloads
title_full Commissioning the CERN IT Agile Infrastructure with experiment workloads
title_fullStr Commissioning the CERN IT Agile Infrastructure with experiment workloads
title_full_unstemmed Commissioning the CERN IT Agile Infrastructure with experiment workloads
title_short Commissioning the CERN IT Agile Infrastructure with experiment workloads
title_sort commissioning the cern it agile infrastructure with experiment workloads
topic Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/513/3/032066
http://cds.cern.ch/record/1622187
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AT kucharczykkatarzyna commissioningthecernitagileinfrastructurewithexperimentworkloads
AT denismarekkamil commissioningthecernitagileinfrastructurewithexperimentworkloads
AT cinquillimattia commissioningthecernitagileinfrastructurewithexperimentworkloads