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Managing the ATLAS Grid through Harvester

ATLAS Computing Management has identified the migration of all resources to Harvester, PanDA’s new workload submission engine, as a critical milestone for Run 3 and 4. This contribution will focus on the Grid migration to Harvester. We have built a redundant architecture based on CERN IT’s common of...

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Autor principal: Barreiro Megino, Fernando Harald
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2694334
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author Barreiro Megino, Fernando Harald
author_facet Barreiro Megino, Fernando Harald
author_sort Barreiro Megino, Fernando Harald
collection CERN
description ATLAS Computing Management has identified the migration of all resources to Harvester, PanDA’s new workload submission engine, as a critical milestone for Run 3 and 4. This contribution will focus on the Grid migration to Harvester. We have built a redundant architecture based on CERN IT’s common offerings (e.g. Openstack Virtual Machines and Database on Demand) to run the necessary Harvester and HTCondor services, capable of sustaining the load of O(1M) workers on the grid per day. We have reviewed the ATLAS Grid region by region and moved as much possible away from blind worker submission, where multiple queues (e.g. single core, multi core, high memory) compete for resources on a site. Instead we have migrated towards more intelligent models that use information and priorities from the central PanDA workload management system and stream the right number of workers of each category to a unified queue while keeping late binding to the jobs. We will also describe our enhanced monitoring and analytics framework. Worker and job information is synchronized with minimal delays to a CERN IT provided Elastic Search repository, where we can interact with dashboards to follow submission progress, discover site issues (e.g. broken Compute Elements) or spot empty workers. The result is a much more efficient usage of the Grid resources with smart, built-in monitoring of resources.
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spelling cern-26943342019-10-21T18:58:15Zhttp://cds.cern.ch/record/2694334engBarreiro Megino, Fernando HaraldManaging the ATLAS Grid through HarvesterParticle Physics - ExperimentATLAS Computing Management has identified the migration of all resources to Harvester, PanDA’s new workload submission engine, as a critical milestone for Run 3 and 4. This contribution will focus on the Grid migration to Harvester. We have built a redundant architecture based on CERN IT’s common offerings (e.g. Openstack Virtual Machines and Database on Demand) to run the necessary Harvester and HTCondor services, capable of sustaining the load of O(1M) workers on the grid per day. We have reviewed the ATLAS Grid region by region and moved as much possible away from blind worker submission, where multiple queues (e.g. single core, multi core, high memory) compete for resources on a site. Instead we have migrated towards more intelligent models that use information and priorities from the central PanDA workload management system and stream the right number of workers of each category to a unified queue while keeping late binding to the jobs. We will also describe our enhanced monitoring and analytics framework. Worker and job information is synchronized with minimal delays to a CERN IT provided Elastic Search repository, where we can interact with dashboards to follow submission progress, discover site issues (e.g. broken Compute Elements) or spot empty workers. The result is a much more efficient usage of the Grid resources with smart, built-in monitoring of resources.ATL-SOFT-SLIDE-2019-787oai:cds.cern.ch:26943342019-10-21
spellingShingle Particle Physics - Experiment
Barreiro Megino, Fernando Harald
Managing the ATLAS Grid through Harvester
title Managing the ATLAS Grid through Harvester
title_full Managing the ATLAS Grid through Harvester
title_fullStr Managing the ATLAS Grid through Harvester
title_full_unstemmed Managing the ATLAS Grid through Harvester
title_short Managing the ATLAS Grid through Harvester
title_sort managing the atlas grid through harvester
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2694334
work_keys_str_mv AT barreiromeginofernandoharald managingtheatlasgridthroughharvester