Imagine a giant city where traffic lights and roads automatically adjust themselves in real-time to prevent jams without any human intervention. This technology does the same for internet data, using AI to spot problems and fix them instantly. It ensures that critical services stay online and fast, even when millions of devices are connected at once.
Manual management of 5G networks is too slow and complex for modern demands. This leads to inefficiency, higher energy costs, and an inability to scale services across different geographic regions.
An automated orchestration platform consisting of an End-to-End Service Orchestration Layer (ESO-L) and a Domain Orchestrator Layer (DO-L), supported by a Network Digital Twin for AI training.
If you are a network operator dealing with the complexity of 5G infrastructure—this project developed an automated orchestration platform that reduces manual management and improves energy efficiency.
If you are a factory operator dealing with unstable connectivity for thousands of sensors—this project developed a zero-touch provisioning system that ensures seamless service deployment across edge environments.
If you are a security provider dealing with massive DDoS attacks—this project developed AI models for traffic classification and detection that trigger proactive orchestration actions.
Based on available project data, specific pricing or licensing costs are not mentioned; the project was supported by a EUR 5,901,405 EU contribution.
Yes, the platform is designed as a highly-distributed grid of orchestrators across geo-dispersed environments to ensure scalability for 5G and beyond.
The project targets submissions to open-source initiatives and standards such as ETSI ZSM, ETSI NFV-OSM, TMF, and ONF.
It uses standardised communication interfaces and an integration fabric to ensure compatibility with current infrastructure and future 6G ecosystems.
The project period runs from 2023-01-01 to 2025-12-31, indicating the technology is currently in development and testing phases.
The consortium is heavily industry-weighted with 8 industrial partners (67% of the 12 total members), including 5 SMEs. This strong commercial presence, spanning 6 countries, suggests the technology is being developed with direct market application and commercial viability in mind rather than purely academic interest.
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