WLCG DataLake R&D project aims at exploring an evolution of distributed storage while bearing in mind very high demands of HL-LHC era Its primary objective is to optimize hardware usage and operational costs of a storage system deployed across distributed centers connected by fat networks and operated as a single service. Such storage would host a large fraction of the WLCG data and optimize the cost, eliminating inefficiencies due to fragmentation. In this article we will emphasize on NRC "Kurchatov Institute" role in the DataLake project with highlight on our goals, achievements and future plans.

Original languageEnglish
Title of host publicationSelected Papers of the 8th International Conference ""Distributed Computing and Grid-Technologies in Science and Education"", GRID 2018
Pages457-461
Number of pages5
StatePublished - 30 Dec 2018
Event8th International Conference "Distributed Computing and Grid-Technologies in Science and Education", GRID 2018 - Dubna, Russian Federation
Duration: 10 Sep 2018 → 14 Sep 2018

Publication series

NameCEUR Workshop Proceedings
PublisherRWTH Aahen University
Volume2267
ISSN (Print)1613-0073

Conference

Conference8th International Conference "Distributed Computing and Grid-Technologies in Science and Education", GRID 2018
Country/TerritoryRussian Federation
CityDubna
Period10/09/18 → 14/09/18

    Research areas

  • DataLake, Distributed storage, HL-LHC, WLCG

    Scopus subject areas

  • Computer Science(all)

ID: 37924532