CERN Accelerating science

Article
Title	Prototype of the Russian Scientific Data Lake
Author(s)	Alekseev, Aleksandr (Moscow State U. ; Moscow, INR ; Andres Bello Natl. U.) ; Espinal, Xavier (CERN) ; Jezequel, Stephane (Annecy, LAPP) ; Kiryanov, Andrey (Moscow State U. ; St. Petersburg, INP) ; Klimentov, Alexei (Brookhaven) ; Korchuganova, Tatiana (Moscow State U. ; Moscow, INR ; Andres Bello Natl. U.) ; Mitsyn, Valeri (Dubna, JINR) ; Oleynik, Danila (Moscow State U. ; Dubna, JINR) ; Smirnov, Alexander (Moscow State U. ; Moscow Phys. Eng. Inst.) ; Smirnov, Sergei (Moscow Phys. Eng. Inst.) ; Zarochentsev, Andrey (Moscow State U. ; St. Petersburg State U.)
Publication	2021
Number of pages	10
In:	EPJ Web Conf. 251 (2021) 02031
In:	25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02031
DOI	10.1051/epjconf/202125102031
Subject category	Computing and Computers
Abstract	The High Luminosity phase of the LHC, which aims for a tenfold increase in the luminosity of proton-proton collisions is expected to start operation in eight years. An unprecedented scientific data volume at the multiexabyte scale will be delivered to particle physics experiments at CERN. This amount of data has to be stored and the corresponding technology must ensure fast and reliable data delivery for processing by the scientific community all over the world. The present LHC computing model will not be able to provide the required infrastructure growth even taking into account the expected hardware evolution. To address this challenge the Data Lake R&D; project has been launched by the DOMA community in the fall of 2019. State-of-the-art data handling technologies are under active development, and their current status for the Russian Scientific Data Lake prototype is presented here.
Related document	Talk C21-05-17.1
Copyright/License	publication: © The Authors, published by EDP Sciences. (License: CC-BY-4.0)

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