Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
Scientific Data Lake for High Luminosity LHC project and other data-intensive particle and astro-particle physics experiments. / Alekseev, A.; Kiryanov, A.; Klimentov, A.; Korchuganova, T.; Mitsyn, V.; Oleynik, D.; Smirnov, A.; Smirnov, S.; Zarochentsev, A.
в: Journal of Physics: Conference Series, Том 1690, № 1, 012166, 16.12.2020.Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
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TY - JOUR
T1 - Scientific Data Lake for High Luminosity LHC project and other data-intensive particle and astro-particle physics experiments
AU - Alekseev, A.
AU - Kiryanov, A.
AU - Klimentov, A.
AU - Korchuganova, T.
AU - Mitsyn, V.
AU - Oleynik, D.
AU - Smirnov, A.
AU - Smirnov, S.
AU - Zarochentsev, A.
N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.
PY - 2020/12/16
Y1 - 2020/12/16
N2 - The next phase of LHC Operations-High Luminosity LHC (HL-LHC), which is aimed at ten-fold increase in the luminosity of proton-proton collisions at the energy of 14 TeV, is expected to start operation in 2027-2028 and will deliver an unprecedented scientific data volume of multi-exabyte scale. This amount of data has to be stored and the corresponding storage system should ensure fast and reliable data delivery for processing by scientific groups distributed all over the world. The present LHC computing and data processing model will not be able to provide the required infrastructure growth even taking into account the expected hardware technology evolution. To address this challenge the new state-of-The-Art computing infrastructure technologies are now being developed and are presented here. The possibilities of application of the HL-LHC distributed data handling technique for other particle and astro-particle physics experiments dealing with large-scale data volumes like DUNE, LSST, Belle-II, JUNO, SKAO etc. are also discussed.
AB - The next phase of LHC Operations-High Luminosity LHC (HL-LHC), which is aimed at ten-fold increase in the luminosity of proton-proton collisions at the energy of 14 TeV, is expected to start operation in 2027-2028 and will deliver an unprecedented scientific data volume of multi-exabyte scale. This amount of data has to be stored and the corresponding storage system should ensure fast and reliable data delivery for processing by scientific groups distributed all over the world. The present LHC computing and data processing model will not be able to provide the required infrastructure growth even taking into account the expected hardware technology evolution. To address this challenge the new state-of-The-Art computing infrastructure technologies are now being developed and are presented here. The possibilities of application of the HL-LHC distributed data handling technique for other particle and astro-particle physics experiments dealing with large-scale data volumes like DUNE, LSST, Belle-II, JUNO, SKAO etc. are also discussed.
UR - http://www.scopus.com/inward/record.url?scp=85098322483&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1690/1/012166
DO - 10.1088/1742-6596/1690/1/012166
M3 - Conference article
AN - SCOPUS:85098322483
VL - 1690
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012166
T2 - 5th International Conference on Particle Physics and Astrophysics, ICPPA 2020
Y2 - 5 October 2020 through 9 October 2020
ER -
ID: 88353229