QuerySpaces on Hadoop for the ATLAS EventIndex

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Hadoop-based implementation of the adaptive query engine serving as the back-end for the ATLAS EventIndex. The QuerySpaces implementation handles both original data and search results providing fast and efficient mechanisms for new user queries using already accumulated knowledge for optimisation. D...

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Detalles Bibliográficos
Autores principales: Hrivnac, Julius, Yuan, Ruijun, Cranshaw, Jack, Glasman, Claudia, Favareto, Andrea, Prokoshin, Fedor
Lenguaje:eng
Publicado: 2015
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2007257
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author Hrivnac, Julius
Yuan, Ruijun
Cranshaw, Jack
Glasman, Claudia
Favareto, Andrea
Prokoshin, Fedor
author_facet Hrivnac, Julius
Yuan, Ruijun
Cranshaw, Jack
Glasman, Claudia
Favareto, Andrea
Prokoshin, Fedor
author_sort Hrivnac, Julius
collection CERN
description Hadoop-based implementation of the adaptive query engine serving as the back-end for the ATLAS EventIndex. The QuerySpaces implementation handles both original data and search results providing fast and efficient mechanisms for new user queries using already accumulated knowledge for optimisation. Detailed description and statistics about user requests are collected in HBase tables and HDFS files. Requests are associated to their results and a graph of relations between them is created to be used to find the most efficient way of providing answers to new requests The environment is completely transparent to users and is accessible over several command-line interfaces, a Web Service and a programming API.
id cern-2007257
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
record_format invenio
spelling cern-20072572019-09-30T06:29:59Zhttp://cds.cern.ch/record/2007257engHrivnac, JuliusYuan, RuijunCranshaw, JackGlasman, ClaudiaFavareto, AndreaProkoshin, FedorQuerySpaces on Hadoop for the ATLAS EventIndexParticle Physics - ExperimentHadoop-based implementation of the adaptive query engine serving as the back-end for the ATLAS EventIndex. The QuerySpaces implementation handles both original data and search results providing fast and efficient mechanisms for new user queries using already accumulated knowledge for optimisation. Detailed description and statistics about user requests are collected in HBase tables and HDFS files. Requests are associated to their results and a graph of relations between them is created to be used to find the most efficient way of providing answers to new requests The environment is completely transparent to users and is accessible over several command-line interfaces, a Web Service and a programming API.ATL-SOFT-SLIDE-2015-147oai:cds.cern.ch:20072572015-04-07
spellingShingle Particle Physics - Experiment
Hrivnac, Julius
Yuan, Ruijun
Cranshaw, Jack
Glasman, Claudia
Favareto, Andrea
Prokoshin, Fedor
QuerySpaces on Hadoop for the ATLAS EventIndex
title QuerySpaces on Hadoop for the ATLAS EventIndex
title_full QuerySpaces on Hadoop for the ATLAS EventIndex
title_fullStr QuerySpaces on Hadoop for the ATLAS EventIndex
title_full_unstemmed QuerySpaces on Hadoop for the ATLAS EventIndex
title_short QuerySpaces on Hadoop for the ATLAS EventIndex
title_sort queryspaces on hadoop for the atlas eventindex
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2007257
work_keys_str_mv AT hrivnacjulius queryspacesonhadoopfortheatlaseventindex
AT yuanruijun queryspacesonhadoopfortheatlaseventindex
AT cranshawjack queryspacesonhadoopfortheatlaseventindex
AT glasmanclaudia queryspacesonhadoopfortheatlaseventindex
AT favaretoandrea queryspacesonhadoopfortheatlaseventindex
AT prokoshinfedor queryspacesonhadoopfortheatlaseventindex

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