Research output: Contribution to journal › Conference article › peer-review
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.
Original language | English |
---|---|
Article number | 002 |
Journal | Proceedings of Science |
Volume | 351 |
DOIs | |
State | Published - 2019 |
Event | 2019 International Symposium on Grids and Clouds, ISGC 2019 - Taipei, Taiwan, Province of China Duration: 31 Mar 2019 → 5 Apr 2019 |
ID: 91876134