Are you curious to learn more about the EGI Federated Cloud and how it can be used for data and/or compute driven research?
Objectives of the webinar
Learn about the EGI Federated Cloud service
Learn about the relevant output researchers can rely on
Researchers, and IT-service providers who support research and education.
Webinar programme (1h)
Overview about the EGI Federated Cloud infrastructure
Description about the presentation
The EGI Federated Cloud is a IaaS-type cloud, made of academic private clouds and virtualized resources and built around open standards. Its development is driven by requirements of the scientific community. The result is a new type of research e-infrastructure, based on the mature federated operations services that make EGI a reliable resource for science.
When using EGI Federated Cloud resources, researchers and research communities can count on:
Total control over deployed applications
Elastic resource consumption based on real need
Immediately processed workloads – no more waiting time
An extended e-Infrastructure across resource providers in Europe
Service performance scaled with elastic resource consumption
In this webinar an overview of the EGI Federated Cloud and how this scalable computing platform can be used for data and/or compute driven research and/or support the development of advanced services for research and science will be provided by Enol Fernandez. The webinar will be relevant for researchers, and IT-service providers who support research and education.
About the speaker
Enol Fernandez is Cloud Solutions Manager at the EGI Foundation working on the definition of the EGI Cloud federation architecture and its innovation roadmap. He also supports the EGI Community Team in the co-design and implementation of solutions for meeting the computing requirements of their research platforms and applications. Previously, he worked in the User Community Support Team of EGI and as a middleware developer and providing support to user communities at UAB and CSIC in the context of distributed computing European projects. He holds a PhD in Computer Science from Universitat Autòmoma de Barcelona and a Computing Engineering Degree from Universidad de La Laguna.