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The eXtreme-DataCloud project solutions for data management services in distributed e-infrastructures

The eXtreme DataCloud (XDC) project is aimed at developing data management services capable to cope with very large data resources allowing the future e-infrastructures to address the needs of the next generation extreme scale scientific experiments. Started in November 2017, XDC is combining the ex...

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Autores principales: Cesini, Daniele, Donvito, Giacinto, Costantini, Alessandro, Aguilar Gomez, Fernando, Duma, Doina Cristina, Fuhrmann, Patrick, Dutka, Lukasz, Viljolen, Matthew, Battaglia, Serena, Poireau, Vincent, Dell'Agnello, Luca, Keeble, Oliver, Lemrani, Rachid, Ohmann, Christian, de Lucas, Jesus Marco
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/202024504010
http://cds.cern.ch/record/2758819
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author Cesini, Daniele
Donvito, Giacinto
Costantini, Alessandro
Aguilar Gomez, Fernando
Duma, Doina Cristina
Fuhrmann, Patrick
Dutka, Lukasz
Viljolen, Matthew
Battaglia, Serena
Poireau, Vincent
Dell'Agnello, Luca
Keeble, Oliver
Lemrani, Rachid
Ohmann, Christian
de Lucas, Jesus Marco
author_facet Cesini, Daniele
Donvito, Giacinto
Costantini, Alessandro
Aguilar Gomez, Fernando
Duma, Doina Cristina
Fuhrmann, Patrick
Dutka, Lukasz
Viljolen, Matthew
Battaglia, Serena
Poireau, Vincent
Dell'Agnello, Luca
Keeble, Oliver
Lemrani, Rachid
Ohmann, Christian
de Lucas, Jesus Marco
author_sort Cesini, Daniele
collection CERN
description The eXtreme DataCloud (XDC) project is aimed at developing data management services capable to cope with very large data resources allowing the future e-infrastructures to address the needs of the next generation extreme scale scientific experiments. Started in November 2017, XDC is combining the expertise of 8 large European research organisations. The project aims at developing scalable technologies for federating storage resources and managing data in highly distributed computing environments. The project is use case driven with a multidisciplinary approach, addressing requirements from research communities belonging to a wide range of scientific domains: Life Science, Biodiversity, Clinical Research, Astrophysics, High Energy Physics and Photon Science, that represent an indicator in terms of data management needs in Europe and worldwide. The use cases proposed by the different user communities are addressed integrating different data management services ready to manage an increasing volume of data. Different scalability and performance tests have been defined to show that the XDC services can be harmonized in different contexts and complex frameworks like the European Open Science Cloud. The use cases have been used to measure the success of the project and to prove that the developments fulfil the defined needs and satisfy the final users. The present contribution describes the results carried out from the adoption of the XDC solutions and provides a complete overview of the project achievements.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
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spelling oai-inspirehep.net-18315402021-03-25T22:33:56Zdoi:10.1051/epjconf/202024504010http://cds.cern.ch/record/2758819engCesini, DanieleDonvito, GiacintoCostantini, AlessandroAguilar Gomez, FernandoDuma, Doina CristinaFuhrmann, PatrickDutka, LukaszViljolen, MatthewBattaglia, SerenaPoireau, VincentDell'Agnello, LucaKeeble, OliverLemrani, RachidOhmann, Christiande Lucas, Jesus MarcoThe eXtreme-DataCloud project solutions for data management services in distributed e-infrastructuresComputing and ComputersThe eXtreme DataCloud (XDC) project is aimed at developing data management services capable to cope with very large data resources allowing the future e-infrastructures to address the needs of the next generation extreme scale scientific experiments. Started in November 2017, XDC is combining the expertise of 8 large European research organisations. The project aims at developing scalable technologies for federating storage resources and managing data in highly distributed computing environments. The project is use case driven with a multidisciplinary approach, addressing requirements from research communities belonging to a wide range of scientific domains: Life Science, Biodiversity, Clinical Research, Astrophysics, High Energy Physics and Photon Science, that represent an indicator in terms of data management needs in Europe and worldwide. The use cases proposed by the different user communities are addressed integrating different data management services ready to manage an increasing volume of data. Different scalability and performance tests have been defined to show that the XDC services can be harmonized in different contexts and complex frameworks like the European Open Science Cloud. The use cases have been used to measure the success of the project and to prove that the developments fulfil the defined needs and satisfy the final users. The present contribution describes the results carried out from the adoption of the XDC solutions and provides a complete overview of the project achievements.oai:inspirehep.net:18315402020
spellingShingle Computing and Computers
Cesini, Daniele
Donvito, Giacinto
Costantini, Alessandro
Aguilar Gomez, Fernando
Duma, Doina Cristina
Fuhrmann, Patrick
Dutka, Lukasz
Viljolen, Matthew
Battaglia, Serena
Poireau, Vincent
Dell'Agnello, Luca
Keeble, Oliver
Lemrani, Rachid
Ohmann, Christian
de Lucas, Jesus Marco
The eXtreme-DataCloud project solutions for data management services in distributed e-infrastructures
title The eXtreme-DataCloud project solutions for data management services in distributed e-infrastructures
title_full The eXtreme-DataCloud project solutions for data management services in distributed e-infrastructures
title_fullStr The eXtreme-DataCloud project solutions for data management services in distributed e-infrastructures
title_full_unstemmed The eXtreme-DataCloud project solutions for data management services in distributed e-infrastructures
title_short The eXtreme-DataCloud project solutions for data management services in distributed e-infrastructures
title_sort extreme-datacloud project solutions for data management services in distributed e-infrastructures
topic Computing and Computers
url https://dx.doi.org/10.1051/epjconf/202024504010
http://cds.cern.ch/record/2758819
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