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

Authors :
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
Marco de Lucas Jesus
Source :
EPJ Web of Conferences, Vol 245, p 04010 (2020)
Publication Year :
2020
Publisher :
EDP Sciences, 2020.

Abstract

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.

Subjects

Subjects :
Physics
QC1-999

Details

Language :
English
ISSN :
2100014X
Volume :
245
Database :
Directory of Open Access Journals
Journal :
EPJ Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.8d3aa6ad97234e09b1afe16a7ea39ddb
Document Type :
article
Full Text :
https://doi.org/10.1051/epjconf/202024504010