Hyper Performance Network Digital Twin for Holistic Management of 5G IoT Edge Network Hyper-5G research project aims at experimenting with a network digital twin (DT) which can process data gathered from remote distributed EU-US IoT infrastructures
Project Information
- Project ID
- NGI-ATLANTIC:OC05-368
- Contact
- Prof Sadok Ben Yahia (TalTech – Tallinn University of Technology)
- Countries
- estonia, united states
Related Products
Software or product(s) created or improved through this project
Additional Information
Hyper-5G is a flagship for 6G vision to connect human physical and digital worlds with a set of 6G key enabling technologies HyPer-5G's broader and chief research goal is to prepare thoroughly and advance current European (and global) understandings and public perception regarding the potential of the digital twins to simplify and streamline the future 5G IoT services and applications and their vital role in transitioning 5G from being a physical network to a metaverse system
Tallinn University of Technology the EU partner is involved in the configuration and deployment of DT services across the GRID5000 and Fit IoT-Lab and assists Vanderbilt University the US partner in the interconnection of the Chameleon platforms Vanderbilt University is experimenting with network interconnection resource configuration and evaluation of hierarchical federated learning experiments in Chameleon Cloud
Tallinn University of Technology the EU partner is involved in the configuration and deployment of DT services across the GRID5000 and Fit IoT-Lab and assists Vanderbilt University the US partner in the interconnection of the Chameleon platforms Vanderbilt University is experimenting with network interconnection resource configuration and evaluation of hierarchical federated learning experiments in Chameleon Cloud
End-User Relevance
This project will then enable the creation of a European 5G testbed The experiments will contribute to security knowledge of 5G and enable trust in deployed IoT edge services
Disclaimer: This experiment is currently underway
Community Discussion 3 comments
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