International audienceThe 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, ...
This chapter discusses the challenges that are imposed by Big Data on the modern and future e-Scient...
The File Transfer Service developed at CERN and in production since 2014, has become fundamental com...
Póster presentado al ISC High Performance, celebrado en Frankfurt (Alemania) del 24 al 28 de junio d...
International audienceThe eXtreme DataCloud (XDC) project is aimed at developing data management ser...
The eXtreme DataCloud (XDC) project is aimed at developing data management services capable to cope ...
The development of data management services capable to cope with very large data resources is a key ...
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 ...
Exascale eScience infrastructures will face important and critical challenges, both from computation...
We report on a two-day workshop in September 2018 which brought together scientists from different d...
With ever increasing scales towards extreme-scales in high performance computing large quantities of...
Datacloud is centralised service for storing and sharing research data within researchers of the Uni...
The goal of this project is the development of a novel environment to support globally distributed s...
This chapter discusses the challenges that are imposed by Big Data on the modern and future e-Scient...
The File Transfer Service developed at CERN and in production since 2014, has become fundamental com...
Póster presentado al ISC High Performance, celebrado en Frankfurt (Alemania) del 24 al 28 de junio d...
International audienceThe eXtreme DataCloud (XDC) project is aimed at developing data management ser...
The eXtreme DataCloud (XDC) project is aimed at developing data management services capable to cope ...
The development of data management services capable to cope with very large data resources is a key ...
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 ...
Exascale eScience infrastructures will face important and critical challenges, both from computation...
We report on a two-day workshop in September 2018 which brought together scientists from different d...
With ever increasing scales towards extreme-scales in high performance computing large quantities of...
Datacloud is centralised service for storing and sharing research data within researchers of the Uni...
The goal of this project is the development of a novel environment to support globally distributed s...
This chapter discusses the challenges that are imposed by Big Data on the modern and future e-Scient...
The File Transfer Service developed at CERN and in production since 2014, has become fundamental com...
Póster presentado al ISC High Performance, celebrado en Frankfurt (Alemania) del 24 al 28 de junio d...