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EI3 – The ATLAS EventIndex for LHC Run 3

Since 2015 the ATLAS Event Index provides a good and reliable service for the initial use cases (mainly event picking) and several additional ones, such as production consistency checks, duplicate event detection and measurements of the overlaps of trigger chains and derivation datasets. LHC Run 3 w...

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Detalles Bibliográficos
Autores principales: Prokoshin, Fedor, Alexandrov, Evgeny, Aleksandrov, Igor, Baranowski, Zbigniew, Barberis, Dario, Dimitrov, Gancho, Fernandez Casani, Alvaro, Gallas, Elizabeth, Garcia Montoro, Carlos, Gonzalez de la Hoz, Santiago, Hrivnac, Julius, Kazymov, Andrei, Mineev, Mikhail, Rybkin, Grigori, Sánchez, Javier, Salt, José, Villaplana Perez, Miguel
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2703010
Descripción
Sumario:Since 2015 the ATLAS Event Index provides a good and reliable service for the initial use cases (mainly event picking) and several additional ones, such as production consistency checks, duplicate event detection and measurements of the overlaps of trigger chains and derivation datasets. LHC Run 3 will meet increased data-taking and simulation production rates, which the current infrastructure would still cope but may be extended to its limits by the end of Run 3. This talk describes a new implementation of the front- and back-end services that will be able to provide at least the same functionality as the current one for increased data ingestion and search rates and with increasing volumes of stored data. It is based on a set of HBase tables, with schemas derived from the current Oracle implementation, coupled to Apache Phoenix for data access; in this way the possibility of SQL as well as NoSQL data access will be added to the advantages of a BigData based storage system, allowing re-use of most of the existing code for metadata integration.