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Evolution of the Hadoop platform and ecosystem for high energy physics
The interest in using scalable data processing solutions based on Apache Hadoop ecosystem is constantly growing in the High Energy Physics (HEP) community. This drives the need for increased reliability and availability of the central Hadoop service and underlying infrastructure provided to the comm...
| Autores principales: | , , , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/201921404058 http://cds.cern.ch/record/2700232 |
| _version_ | 1780964496604397568 |
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| author | Baranowski, Zbigniew Kleszcz, Emil Kothuri, Prasanth Canali, Luca Castellotti, Riccardo Martin Marquez, Manuel Matos de Barros, Nuno Guilherme Motesnitsalis, Evangelos Mrowczynski, Piotr Luna Duran, Jose Carlos |
| author_facet | Baranowski, Zbigniew Kleszcz, Emil Kothuri, Prasanth Canali, Luca Castellotti, Riccardo Martin Marquez, Manuel Matos de Barros, Nuno Guilherme Motesnitsalis, Evangelos Mrowczynski, Piotr Luna Duran, Jose Carlos |
| author_sort | Baranowski, Zbigniew |
| collection | CERN |
| description | The interest in using scalable data processing solutions based on Apache Hadoop ecosystem is constantly growing in the High Energy Physics (HEP) community. This drives the need for increased reliability and availability of the central Hadoop service and underlying infrastructure provided to the community by the CERN IT department. This paper reports on the overall status of the Hadoop platform and related Hadoop and Spark service at CERN, detailing recent enhancements and features introduced in many areas including the service configuration, availability, alerting, monitoring and data protection, in order to meet the new requirements posed by the users’ community. |
| id | oai-inspirehep.net-1761010 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2019 |
| record_format | invenio |
| spelling | oai-inspirehep.net-17610102022-08-10T12:24:09Zdoi:10.1051/epjconf/201921404058http://cds.cern.ch/record/2700232engBaranowski, ZbigniewKleszcz, EmilKothuri, PrasanthCanali, LucaCastellotti, RiccardoMartin Marquez, ManuelMatos de Barros, Nuno GuilhermeMotesnitsalis, EvangelosMrowczynski, PiotrLuna Duran, Jose CarlosEvolution of the Hadoop platform and ecosystem for high energy physicsComputing and ComputersThe interest in using scalable data processing solutions based on Apache Hadoop ecosystem is constantly growing in the High Energy Physics (HEP) community. This drives the need for increased reliability and availability of the central Hadoop service and underlying infrastructure provided to the community by the CERN IT department. This paper reports on the overall status of the Hadoop platform and related Hadoop and Spark service at CERN, detailing recent enhancements and features introduced in many areas including the service configuration, availability, alerting, monitoring and data protection, in order to meet the new requirements posed by the users’ community.oai:inspirehep.net:17610102019 |
| spellingShingle | Computing and Computers Baranowski, Zbigniew Kleszcz, Emil Kothuri, Prasanth Canali, Luca Castellotti, Riccardo Martin Marquez, Manuel Matos de Barros, Nuno Guilherme Motesnitsalis, Evangelos Mrowczynski, Piotr Luna Duran, Jose Carlos Evolution of the Hadoop platform and ecosystem for high energy physics |
| title | Evolution of the Hadoop platform and ecosystem for high energy physics |
| title_full | Evolution of the Hadoop platform and ecosystem for high energy physics |
| title_fullStr | Evolution of the Hadoop platform and ecosystem for high energy physics |
| title_full_unstemmed | Evolution of the Hadoop platform and ecosystem for high energy physics |
| title_short | Evolution of the Hadoop platform and ecosystem for high energy physics |
| title_sort | evolution of the hadoop platform and ecosystem for high energy physics |
| topic | Computing and Computers |
| url | https://dx.doi.org/10.1051/epjconf/201921404058 http://cds.cern.ch/record/2700232 |
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