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Web-based Analysis Services Report

Web-based services (cloud services) is an important trend to innovate end-user services while optimising the service operational costs. CERN users are constantly proposing new approaches (inspired from services existing on the web, tools used in education or other science or based on their experienc...

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Autores principales: Bell, Tim, Canali, Luca, Grancher, Eric, Lamanna, Massimo, McCance, Gavin, Mato Vila, Pere, Piparo, Danilo, Moscicki, Jakub, Pace, Alberto, Brito Da Rocha, Ricardo, Simko, Tibor, Smith, Tim, Tejedor Saavedra, Enric
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:http://cds.cern.ch/record/2315331
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author Bell, Tim
Canali, Luca
Grancher, Eric
Lamanna, Massimo
McCance, Gavin
Mato Vila, Pere
Piparo, Danilo
Moscicki, Jakub
Pace, Alberto
Brito Da Rocha, Ricardo
Simko, Tibor
Smith, Tim
Tejedor Saavedra, Enric
author_facet Bell, Tim
Canali, Luca
Grancher, Eric
Lamanna, Massimo
McCance, Gavin
Mato Vila, Pere
Piparo, Danilo
Moscicki, Jakub
Pace, Alberto
Brito Da Rocha, Ricardo
Simko, Tibor
Smith, Tim
Tejedor Saavedra, Enric
author_sort Bell, Tim
collection CERN
description Web-based services (cloud services) is an important trend to innovate end-user services while optimising the service operational costs. CERN users are constantly proposing new approaches (inspired from services existing on the web, tools used in education or other science or based on their experience in using existing computing services). In addition, industry and open source communities have recently made available a large number of powerful and attractive tools and platforms that enable large scale data processing. “Big Data” software stacks notably provide solutions for scalable storage, distributed compute and data analysis engines, data streaming, web-based interfaces (notebooks). Some of those platforms and tools, typically available as open source products, are experiencing a very fast adoption in industry and science such that they are becoming “de facto” references in several areas of data engineering, data science and machine learning. In parallel to users' requests, WLCG is considering to consolidate its deployment model into a relatively reduced number of resource sites (while benefiting from potentially ephemeral resources like public cloud and large installations like experiment filter farms, HPC facilities, analysis centres). In this schema, analysis facilities could be provided as web-based services located in strategic WLCG centres or spawned on relatively short-lived farms.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
record_format invenio
spelling cern-23153312019-09-30T06:29:59Zhttp://cds.cern.ch/record/2315331engBell, TimCanali, LucaGrancher, EricLamanna, MassimoMcCance, GavinMato Vila, PerePiparo, DaniloMoscicki, JakubPace, AlbertoBrito Da Rocha, RicardoSimko, TiborSmith, TimTejedor Saavedra, EnricWeb-based Analysis Services ReportParticle Physics - ExperimentComputing and ComputersWeb-based services (cloud services) is an important trend to innovate end-user services while optimising the service operational costs. CERN users are constantly proposing new approaches (inspired from services existing on the web, tools used in education or other science or based on their experience in using existing computing services). In addition, industry and open source communities have recently made available a large number of powerful and attractive tools and platforms that enable large scale data processing. “Big Data” software stacks notably provide solutions for scalable storage, distributed compute and data analysis engines, data streaming, web-based interfaces (notebooks). Some of those platforms and tools, typically available as open source products, are experiencing a very fast adoption in industry and science such that they are becoming “de facto” references in several areas of data engineering, data science and machine learning. In parallel to users' requests, WLCG is considering to consolidate its deployment model into a relatively reduced number of resource sites (while benefiting from potentially ephemeral resources like public cloud and large installations like experiment filter farms, HPC facilities, analysis centres). In this schema, analysis facilities could be provided as web-based services located in strategic WLCG centres or spawned on relatively short-lived farms.CERN-IT-Note-2018-004oai:cds.cern.ch:23153312017-11-24
spellingShingle Particle Physics - Experiment
Computing and Computers
Bell, Tim
Canali, Luca
Grancher, Eric
Lamanna, Massimo
McCance, Gavin
Mato Vila, Pere
Piparo, Danilo
Moscicki, Jakub
Pace, Alberto
Brito Da Rocha, Ricardo
Simko, Tibor
Smith, Tim
Tejedor Saavedra, Enric
Web-based Analysis Services Report
title Web-based Analysis Services Report
title_full Web-based Analysis Services Report
title_fullStr Web-based Analysis Services Report
title_full_unstemmed Web-based Analysis Services Report
title_short Web-based Analysis Services Report
title_sort web-based analysis services report
topic Particle Physics - Experiment
Computing and Computers
url http://cds.cern.ch/record/2315331
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