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Monitoring And Analyzing Distributed Cluster Performance And Statistics Of Atlas Job Flow

The ATLAS experiment is a High Energy Physics experiment that utilizes the services of Grid3 now migrating to the Open Science Grid (OSG). This thesis provides monitoring and analysis of performance and statistical data from individual distributed clusters that combine to form the ATLAS Grid and wil...

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Autor principal: Ramprakash, S
Lenguaje:eng
Publicado: Texas U. 2005
Materias:
Acceso en línea:http://cds.cern.ch/record/945992
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author Ramprakash, S
author_facet Ramprakash, S
author_sort Ramprakash, S
collection CERN
description The ATLAS experiment is a High Energy Physics experiment that utilizes the services of Grid3 now migrating to the Open Science Grid (OSG). This thesis provides monitoring and analysis of performance and statistical data from individual distributed clusters that combine to form the ATLAS Grid and will ultimately be used to make scheduling decisions on this Grid. The system developed in this thesis uses a layered architecture such that predicted future developments or changes brought to the existing Grid infrastructure can easily utilize this work with minimum or no changes. The starting point of the system is based on the existing scheduling that is being done manually for ATLAS job flow. We have provided additional functionality based on the requirements of the High Energy Physics ATLAS team of physicists at UTA. The system developed in this thesis has successfully monitored and analyzed distributed cluster performance at three sites and is waiting for access to monitor data from three more sites. (Abstract shortened by UMI.)
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institution Organización Europea para la Investigación Nuclear
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publisher Texas U.
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spelling cern-9459922019-09-30T06:29:59Zhttp://cds.cern.ch/record/945992engRamprakash, SMonitoring And Analyzing Distributed Cluster Performance And Statistics Of Atlas Job FlowDetectors and Experimental TechniquesThe ATLAS experiment is a High Energy Physics experiment that utilizes the services of Grid3 now migrating to the Open Science Grid (OSG). This thesis provides monitoring and analysis of performance and statistical data from individual distributed clusters that combine to form the ATLAS Grid and will ultimately be used to make scheduling decisions on this Grid. The system developed in this thesis uses a layered architecture such that predicted future developments or changes brought to the existing Grid infrastructure can easily utilize this work with minimum or no changes. The starting point of the system is based on the existing scheduling that is being done manually for ATLAS job flow. We have provided additional functionality based on the requirements of the High Energy Physics ATLAS team of physicists at UTA. The system developed in this thesis has successfully monitored and analyzed distributed cluster performance at three sites and is waiting for access to monitor data from three more sites. (Abstract shortened by UMI.)Texas U.oai:cds.cern.ch:9459922005
spellingShingle Detectors and Experimental Techniques
Ramprakash, S
Monitoring And Analyzing Distributed Cluster Performance And Statistics Of Atlas Job Flow
title Monitoring And Analyzing Distributed Cluster Performance And Statistics Of Atlas Job Flow
title_full Monitoring And Analyzing Distributed Cluster Performance And Statistics Of Atlas Job Flow
title_fullStr Monitoring And Analyzing Distributed Cluster Performance And Statistics Of Atlas Job Flow
title_full_unstemmed Monitoring And Analyzing Distributed Cluster Performance And Statistics Of Atlas Job Flow
title_short Monitoring And Analyzing Distributed Cluster Performance And Statistics Of Atlas Job Flow
title_sort monitoring and analyzing distributed cluster performance and statistics of atlas job flow
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/945992
work_keys_str_mv AT ramprakashs monitoringandanalyzingdistributedclusterperformanceandstatisticsofatlasjobflow