https://doi.org/10.1051/epjconf/202125102031
Prototype of the Russian Scientific Data Lake
1 Plekhanov Russian University of Economics, Moscow, 117997, Russia
2 Ivannikov Institute for System Programming of the RAS, Moscow, 109004, Russia
3 Universidad Andrés Bello, Santiago, 7550196, Chile
4 NRC “Kurchatov Institute” - PNPI, Gatchina, 188300, Russia
5 Brookhaven National Laboratory, Upton, NY 11973, USA
6 Joint Institute for Nuclear Research, Dubna, 141980, Russia
7 National Research Nuclear University MEPhI, Moscow, 115409, Russia
8 Saint Petersburg State University, Saint Petersburg, 198504, Russia
9 Laboratoire d’Annecy de Physique des Particules (LAPP), Annecy le Vieux, 74941, France
10 European Organization for Nuclear Research (CERN), Geneva, 1211, Switzerland
* e-mail: xavier.espinal@cern.ch
** e-mail: stephane.jezequel@cern.ch
*** e-mail: kiryanov@cern.ch
**** e-mail: aak@bnl.gov
† e-mail: andrey.zarochencev@cern.ch
Published online: 23 August 2021
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.
© The Authors, published by EDP Sciences, 2021
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.
