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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...
Autores principales: | , , , |
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Lenguaje: | eng |
Publicado: |
2012
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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. |
id | cern-1457873 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2012 |
record_format | invenio |
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 |
work_keys_str_mv | AT kreuzerpeter tryingtopredictthefutureresourceplanningandallocationincms AT bloomkenneth tryingtopredictthefutureresourceplanningandallocationincms AT fiskian tryingtopredictthefutureresourceplanningandallocationincms AT merinogonzalo tryingtopredictthefutureresourceplanningandallocationincms |