This is a website for an H2020 project which concluded in 2019 and established the core elements of EOSC. The project's results now live further in and

Federation and automate deployment solutions based on the development of INDIGO-DataCloud, Deep-HybridDataCloud, eXtreme-DataCloud

Friday, April 12, 2019 - 09:00 to 10:30

DEEP-Hybrid-DataCloud project aims to promote the integration of specialized, and expensive, hardware under a Hybrid Cloud platform, so it can be used on-demand by researchers of different communities.

XDC project aims at address high-level topics ranging from the federation of storage resources with standard protocols, the policy driven data management based on Quality of Service, data lifecycle management, metadata handling and manipulation, data preprocessing and encryption during ingestion, and smart caching solutions among remote locations.

This training session will provide practical overview on the solutions implemented both at the level of IaaS, PaaS and SaaS within the projects: INDIGO-DataCloud, eXtreme DataCloud (XDC) and DEEP-HybridDataCloud.

Learning goal: 

For researchers interested in high-level technical solution for implementing complex use case on heterogeneous and distributed cloud infrastructure.
For service providers interested to provide easy to use services to users in order to run complex scientific analysis.


Vienna House Diplomat Prague



Target group: