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Trying to Predict the Future - Resource Planning and Allocation in CMS

In the large LHC experiments the majority of computing resources are provided by the participating countries. These resource pledges account for more than three quarters of the total available computing. The experiments are asked to give indications of their requests three years in advance and to ev...

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Detalles Bibliográficos
Autores principales: Kreuzer, Peter, Bloom, Kenneth, Fisk, Ian, Merino, Gonzalo
Lenguaje:eng
Publicado: 2012
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/396/4/042035
http://cds.cern.ch/record/1457873
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author Kreuzer, Peter
Bloom, Kenneth
Fisk, Ian
Merino, Gonzalo
author_facet Kreuzer, Peter
Bloom, Kenneth
Fisk, Ian
Merino, Gonzalo
author_sort Kreuzer, Peter
collection CERN
description In the large LHC experiments the majority of computing resources are provided by the participating countries. These resource pledges account for more than three quarters of the total available computing. The experiments are asked to give indications of their requests three years in advance and to evolve these as the details and constraints become clearer. In this presentation we will discuss the resource planning techniques used in CMS to predict the computing resources several years in advance. We will discuss how we attempt to implement the activities of the computing model in spreadsheets and formulas to calculate the needs. We will talk about how those needs are reflected in the 2012 running and how the planned long shutdown of the LHC in 2013 and 2014 impact the planning process and the outcome. In the end we will speculate on the computing needs in the second major run of LHC.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2012
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spelling cern-14578732019-09-30T06:29:59Zdoi:10.1088/1742-6596/396/4/042035http://cds.cern.ch/record/1457873engKreuzer, PeterBloom, KennethFisk, IanMerino, GonzaloTrying to Predict the Future - Resource Planning and Allocation in CMSDetectors and Experimental TechniquesIn the large LHC experiments the majority of computing resources are provided by the participating countries. These resource pledges account for more than three quarters of the total available computing. The experiments are asked to give indications of their requests three years in advance and to evolve these as the details and constraints become clearer. In this presentation we will discuss the resource planning techniques used in CMS to predict the computing resources several years in advance. We will discuss how we attempt to implement the activities of the computing model in spreadsheets and formulas to calculate the needs. We will talk about how those needs are reflected in the 2012 running and how the planned long shutdown of the LHC in 2013 and 2014 impact the planning process and the outcome. In the end we will speculate on the computing needs in the second major run of LHC.CMS-CR-2012-153oai:cds.cern.ch:14578732012-06-18
spellingShingle Detectors and Experimental Techniques
Kreuzer, Peter
Bloom, Kenneth
Fisk, Ian
Merino, Gonzalo
Trying to Predict the Future - Resource Planning and Allocation in CMS
title Trying to Predict the Future - Resource Planning and Allocation in CMS
title_full Trying to Predict the Future - Resource Planning and Allocation in CMS
title_fullStr Trying to Predict the Future - Resource Planning and Allocation in CMS
title_full_unstemmed Trying to Predict the Future - Resource Planning and Allocation in CMS
title_short Trying to Predict the Future - Resource Planning and Allocation in CMS
title_sort trying to predict the future - resource planning and allocation in cms
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1088/1742-6596/396/4/042035
http://cds.cern.ch/record/1457873
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