Delivering a data-driven open-source platform integrating cloud, edge and HPC technologies for trustworthy, accurate, fair and green data mining workflows for high-quality actionable knowledge
Objectives
Enable the development of complex and secure data mining workflows
Develop novel data-driven orchestration mechanisms to efficiently deploy and execute data mining workflows
Deliver the EXTRACT software platform and demonstrate its benefits in two use cases
Fully exploit the performance capabilities of the compute continuum to effectively address extreme data characteristics (high volume, variety, velocity, veracity) holistically
Foster the adoption of EXTRACT technology by industrial and academic communitie
Use cases
Personalized Evacuation Routing (PER) System
A Personalized Evacuation Routing (PER) System will serve to guide citizens in an urban environment (the city of Venice) through a safe route in real time.
The EXTRACT platform will be used to develop, deploy and execute a data-mining workflow to generate personalized evacuation routes for each citizen, displayed in a mobile phone app, by processing and analysing extreme data composed of Copernicus and Galileo satellite data, IoT sensors installed across the city, 5G mobile signal, and a semantic data lake fusing all this information.
Transient Astrophysics with a Square Kilometer Array Pathfinder (TASKA)
The Transient Astrophysics with a Square Kilometer Array Pathfinder (TASKA) case will use EXTRACT technology to develop data mining workflows that effectively reduce the huge amount of raw data produced by NenuFAR radio-telescopes by a factor of 100. This will allow the populating of high-quality datasets that will be openly accessible to the astronomy community (through the EOSC portal) to be leveraged for multiple research activities.
NEW FACTSHEET: Learn ABOUT the DATANEXUS Cluster
What is THE DATANEXUS Cluster? EXTRACT is part of the 7 EU-funded projects under the Horizon Europe call HORIZON-CL4-2022-DATA-01-05 working toward...
Pursuing the ultimate serverless experience
By: Universität Rovira i Virgili The advent of serverless computing was primarily aimed at abstracting the management of computational...
Introducing DATANEXUS: the EU Cluster Harnessing Extreme Data using Advanced European Technologies
As part of the Horizon Europe funding programme, seven pioneering projects have received funding to address the challenges posed by extreme data...
BINARE talks EXTRACT at CSC Summer School in High-Performance Computing 2023
Two senior members from EXTRACT partner Binare participated in Finland's CSC Summer School in High-Performance Computing 2023. The summer school was...
Presentation in mobility course
EXTRACT project coordinator, Dr. Eduardo Quiñones, presented in the course "La Digitalizació de La Mobilitat" hosted by mobility consultancy,...
2023 IEEE International Conference on Cyber Security and Resilience
Presentation: Multi-party Computation for Privacy and Security in Machine Learning: A Practical Review We are excited to announce that LOGOS RI and...