| Published Articles | |
| Title | Evolution of the Hadoop platform and ecosystem for high energy physics |
| Author(s) | Baranowski, Zbigniew (CERN) ; Kleszcz, Emil (CERN) ; Kothuri, Prasanth (CERN) ; Canali, Luca (CERN) ; Castellotti, Riccardo (CERN) ; Martin Marquez, Manuel (CERN) ; Matos de Barros, Nuno Guilherme (CERN) ; Motesnitsalis, Evangelos (CERN) ; Mrowczynski, Piotr (CERN) ; Luna Duran, Jose Carlos (CERN) |
| Publication | 2019 |
| Number of pages | 10 |
| In: | EPJ Web Conf. 214 (2019) 04058 |
| In: | 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.04058 |
| DOI | 10.1051/epjconf/201921404058 |
| Subject category | Computing and Computers |
| Abstract | 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. |
| Copyright/License | publication: © 2019-2024 The Authors (License: CC-BY-4.0) |
Corresponding record in: Inspire
Record created 2019-11-12, last modified 2022-08-10
