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

<!--HTML-->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 Ex...

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Autor principal: Di Maria, Riccardo
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:http://cds.cern.ch/record/2767125
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author Di Maria, Riccardo
author_facet Di Maria, Riccardo
author_sort Di Maria, Riccardo
collection CERN
description <!--HTML-->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.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
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spelling cern-27671252022-11-02T22:25:40Zhttp://cds.cern.ch/record/2767125engDi Maria, RiccardoESCAPE Data Lake: Next-generation management of cross-discipline Exabyte-scale scientific data25th International Conference on Computing in High Energy & Nuclear PhysicsConferences<!--HTML-->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.oai:cds.cern.ch:27671252021
spellingShingle Conferences
Di Maria, Riccardo
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 Conferences
url http://cds.cern.ch/record/2767125
work_keys_str_mv AT dimariariccardo escapedatalakenextgenerationmanagementofcrossdisciplineexabytescalescientificdata
AT dimariariccardo 25thinternationalconferenceoncomputinginhighenergynuclearphysics