| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 04058 | |
| Number of page(s) | 10 | |
| Section | T4 - Data handling | |
| DOI | https://doi.org/10.1051/epjconf/201921404058 | |
| Published online | 17 September 2019 | |
https://doi.org/10.1051/epjconf/201921404058
Evolution of the Hadoop Platform and Ecosystem for High Energy Physics
CERN,
Geneva,
Switzerland
* e-mail: zbigniew.baranowski@cern.ch
** e-mail: emil.kleszcz@cern.ch
*** e-mail: prasanth.kothuri@cern.ch
**** e-mail: luca.canali@cern.ch
† e-mail: riccardo.castellotti@cern.ch
‡ e-mail: manuel.martin.marquez@cern.ch
§ e-mail: nuno.guilherme.barros@cern.ch
¶ e-mail: vaggelis.motesnitsalis@cern.ch
‖ e-mail: piotr.mrowczynski@cern.ch
** e-mail: jose.carlos.luna@cern.ch
Published online: 17 September 2019
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.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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