The development of data management services capable to cope with very large data resources is a key challenge to allow the future e-infrastructures to address the needs of the next generation extreme scale scientific experiments. To face this challenge, in November 2017 the H2020 eXtreme DataCloud - XDC project has been launched. Lasting for 27 months and combining the expertise of eight large European research organisations, the project aims at developing scalable technologies for federating storage resources and managing data in highly distributed computing environments. The targeted platforms are the current and next generation e-Infrastructures deployed in Europe, such as the European Open Science Cloud (EOSC), the European Grid Infrast...
Data management is one of the cornerstones in the distributed production computing environment that ...
We describe Don Quijote 2 (DQ2), a new approach to the management of large scientific datasets by a ...
Big Data are becoming a new technology focus both in science and in industry. This paper discusses t...
International audienceThe development of data management services capable to cope with very large da...
The eXtreme DataCloud (XDC) project is aimed at developing data management services capable to cope ...
The eXtreme DataCloud (XDC) project is aimed at developing data management services capable to cope ...
International audienceThe eXtreme-DataCloud (XDC) is an EU H2020 funded project aimed at developing ...
Resumen del trabajo presentado a la EGU General Assembly, celebrada en Vienna (Austria) del 7 al de ...
This chapter discusses the challenges that are imposed by Big Data on the modern and future e-Scient...
Exascale eScience infrastructures will face important and critical challenges, both from computation...
This paper discusses the challenges that are imposed by Big Data Science on the modern and future Sc...
The data volumes stored in telescope archives is constantly increasing due to the development and im...
We report on a two-day workshop in September 2018 which brought together scientists from different d...
Data management is one of the cornerstones in the distributed production computing environment that ...
We describe Don Quijote 2 (DQ2), a new approach to the management of large scientific datasets by a ...
Big Data are becoming a new technology focus both in science and in industry. This paper discusses t...
International audienceThe development of data management services capable to cope with very large da...
The eXtreme DataCloud (XDC) project is aimed at developing data management services capable to cope ...
The eXtreme DataCloud (XDC) project is aimed at developing data management services capable to cope ...
International audienceThe eXtreme-DataCloud (XDC) is an EU H2020 funded project aimed at developing ...
Resumen del trabajo presentado a la EGU General Assembly, celebrada en Vienna (Austria) del 7 al de ...
This chapter discusses the challenges that are imposed by Big Data on the modern and future e-Scient...
Exascale eScience infrastructures will face important and critical challenges, both from computation...
This paper discusses the challenges that are imposed by Big Data Science on the modern and future Sc...
The data volumes stored in telescope archives is constantly increasing due to the development and im...
We report on a two-day workshop in September 2018 which brought together scientists from different d...
Data management is one of the cornerstones in the distributed production computing environment that ...
We describe Don Quijote 2 (DQ2), a new approach to the management of large scientific datasets by a ...
Big Data are becoming a new technology focus both in science and in industry. This paper discusses t...