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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...

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Detalles Bibliográficos
Autores principales: 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
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/201921404058
http://cds.cern.ch/record/2700232
Descripción
Sumario: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.