Evolution of the Hadoop Platform and Ecosystem for High Energy Physics
| Autor: | Piotr Mrowczynski, Emil Kleszcz, Manuel Martin Marquez, Riccardo Castellotti, Zbigniew Baranowski, Jose Carlos Luna Duran, Evangelos Motesnitsalis, Prasanth Kothuri, Luca Canali, Nuno Guilherme Matos de Barros |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Particle physics
Data processing Service (systems architecture) 010308 nuclear & particles physics Reliability (computer networking) Physics QC1-999 01 natural sciences Computing and Computers Service configuration 0103 physical sciences Spark (mathematics) Scalability Data Protection Act 1998 010306 general physics Overall status |
| Zdroj: | EPJ Web of Conferences, Vol 214, p 04058 (2019) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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