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ESCAPE Data Lake - Next-generation management of cross-discipline Exabyte-scale scientific data

The European-funded ESCAPE project (Horizon 2020) aims to address computing challenges in the context of the European Open Science Cloud. The project targets Particle Physics and Astronomy facilities and research infrastructures, focusing on the development of solutions to handle Exabyte-scale datas...

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Detalles Bibliográficos
Autores principales: Di Maria, Riccardo, Dona, Rizart
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/202125102056
http://cds.cern.ch/record/2814350
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author Di Maria, Riccardo
Dona, Rizart
author_facet Di Maria, Riccardo
Dona, Rizart
author_sort Di Maria, Riccardo
collection CERN
description The European-funded ESCAPE project (Horizon 2020) aims to address computing challenges in the context of the European Open Science Cloud. The project targets Particle Physics and Astronomy facilities and research infrastructures, focusing on the development of solutions to handle Exabyte-scale datasets. The science projects in ESCAPE are in different phases of evolution and count a variety of specific use cases and challenges to be addressed.This contribution describes the shared-ecosystem architecture of services, the Data Lake, fulfilling the needs in terms of data organisation, management, and access of the ESCAPE community. The Pilot Data Lake consists of several storage services operated by the partner institutes and connected through reliable networks, and it adopts Rucio to orchestrate data management and organisation. The results of a 24-hour Full Dress Rehearsal are also presented, highlighting the achievements of the Data Lake model and of the ESCAPE sciences.
id cern-2814350
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
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spelling cern-28143502022-07-02T18:07:40Zdoi:10.1051/epjconf/202125102056http://cds.cern.ch/record/2814350engDi Maria, RiccardoDona, RizartESCAPE Data Lake - Next-generation management of cross-discipline Exabyte-scale scientific dataComputing and ComputersThe European-funded ESCAPE project (Horizon 2020) aims to address computing challenges in the context of the European Open Science Cloud. The project targets Particle Physics and Astronomy facilities and research infrastructures, focusing on the development of solutions to handle Exabyte-scale datasets. The science projects in ESCAPE are in different phases of evolution and count a variety of specific use cases and challenges to be addressed.This contribution describes the shared-ecosystem architecture of services, the Data Lake, fulfilling the needs in terms of data organisation, management, and access of the ESCAPE community. The Pilot Data Lake consists of several storage services operated by the partner institutes and connected through reliable networks, and it adopts Rucio to orchestrate data management and organisation. The results of a 24-hour Full Dress Rehearsal are also presented, highlighting the achievements of the Data Lake model and of the ESCAPE sciences.oai:cds.cern.ch:28143502021
spellingShingle Computing and Computers
Di Maria, Riccardo
Dona, Rizart
ESCAPE Data Lake - Next-generation management of cross-discipline Exabyte-scale scientific data
title ESCAPE Data Lake - Next-generation management of cross-discipline Exabyte-scale scientific data
title_full ESCAPE Data Lake - Next-generation management of cross-discipline Exabyte-scale scientific data
title_fullStr ESCAPE Data Lake - Next-generation management of cross-discipline Exabyte-scale scientific data
title_full_unstemmed ESCAPE Data Lake - Next-generation management of cross-discipline Exabyte-scale scientific data
title_short ESCAPE Data Lake - Next-generation management of cross-discipline Exabyte-scale scientific data
title_sort escape data lake - next-generation management of cross-discipline exabyte-scale scientific data
topic Computing and Computers
url https://dx.doi.org/10.1051/epjconf/202125102056
http://cds.cern.ch/record/2814350
work_keys_str_mv AT dimariariccardo escapedatalakenextgenerationmanagementofcrossdisciplineexabytescalescientificdata
AT donarizart escapedatalakenextgenerationmanagementofcrossdisciplineexabytescalescientificdata