Research output: Contribution to journal › Conference article › peer-review
Russian academic institutes participation in WLCG DataLake project. / Kiryanov, Andrey; Klimentov, Alexei; Espinal, Xavier; Zarochentsev, Andrey.
In: Proceedings of Science, Vol. 351, 002, 2019.Research output: Contribution to journal › Conference article › peer-review
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TY - JOUR
T1 - Russian academic institutes participation in WLCG DataLake project
AU - Kiryanov, Andrey
AU - Klimentov, Alexei
AU - Espinal, Xavier
AU - Zarochentsev, Andrey
N1 - Publisher Copyright: Copyright © 2019 the author(s).
PY - 2019
Y1 - 2019
N2 - WLCG DataLake R&D project aims at exploring a technology evolution of distributed storage while bearing in mind very high demands of HL-LHC era. The primary objective is to optimize hardware usage and operational costs of a storage system deployed across distributed centres connected by fast networks and operated as a single service. Such storage could host a large fraction of the LHC and other mega-science experiment's data while eliminating inefficiencies due to various levels of fragmentation. In this paper we will describe Russian Institutes' and in particular NRC "Kurchatov Institute"'s role in the DataLake project with highlight on our goals, achievements and future plans.
AB - WLCG DataLake R&D project aims at exploring a technology evolution of distributed storage while bearing in mind very high demands of HL-LHC era. The primary objective is to optimize hardware usage and operational costs of a storage system deployed across distributed centres connected by fast networks and operated as a single service. Such storage could host a large fraction of the LHC and other mega-science experiment's data while eliminating inefficiencies due to various levels of fragmentation. In this paper we will describe Russian Institutes' and in particular NRC "Kurchatov Institute"'s role in the DataLake project with highlight on our goals, achievements and future plans.
UR - http://www.scopus.com/inward/record.url?scp=85076487942&partnerID=8YFLogxK
U2 - 10.22323/1.351.0002
DO - 10.22323/1.351.0002
M3 - Conference article
AN - SCOPUS:85076487942
VL - 351
JO - Proceedings of Science
JF - Proceedings of Science
SN - 1824-8039
M1 - 002
T2 - 2019 International Symposium on Grids and Clouds, ISGC 2019
Y2 - 31 March 2019 through 5 April 2019
ER -
ID: 91876134