| Article | |
| Title | The eXtreme-DataCloud project solutions for data management services in distributed e-infrastructures |
| Author(s) | Cesini, Daniele (INFN, Bologna) ; Donvito, Giacinto (INFN, Bari) ; Costantini, Alessandro (INFN, Bologna) ; Aguilar Gomez, Fernando (Cantabria Inst. of Phys.) ; Duma, Doina Cristina (INFN, Bologna) ; Fuhrmann, Patrick (DESY) ; Dutka, Lukasz (AGH-UST, Cracow) ; Viljolen, Matthew (EGI Foundation, Amsterdam) ; Battaglia, Serena (ECRIN, Paris) ; Poireau, Vincent (Annecy, LAPP) ; Dell'Agnello, Luca (INFN, Bologna) ; Keeble, Oliver (CERN) ; Lemrani, Rachid (CC, Villeurbanne) ; Ohmann, Christian (ECRIN, Paris) ; de Lucas, Jesus Marco (Cantabria Inst. of Phys.) |
| Publication | 2020 |
| Number of pages | 6 |
| In: | EPJ Web Conf. 245 (2020) 04010 |
| In: | 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.04010 |
| DOI | 10.1051/epjconf/202024504010 |
| Subject category | Computing and Computers |
| 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. |
| Copyright/License | © 2020-2024 The Authors (License: CC-BY-4.0) |
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