DT-assisted Self-Healing in Partially Disaggregated Networks

We’re excited to share our latest work in the ALLEGRO project on Digital Twin (DT) assisted Self-Healing! 🌐✨

By leveraging the open-source GNPy library (by TIP) as a digital model service, we’ve implemented a DT-driven Optical Line Controller (OLC) capable of real-time data collection, control, and self-healing responses. This advancement enhances the Quality of Transmission Estimation (QoT-E) and enables robust network resilience. 💡

🔹 Key Highlights: ✔️ DT approach for Optical Line System (OLS) using RESTful APIs for seamless communication. ✔️ Multi-vendor framework ensuring interoperability across network components. ✔️ Soft failure simulation—introducing arbitrary losses to evaluate self-healing capabilities. ✔️ Optimal working points (WPs) computed under normal conditions for proactive network management.

🔍 our study showcases the partially disaggregated architecture, where ROADMs are independently managed per switching degree, embracing a truly open optical ecosystem.

This breakthrough demonstrates the potential of DT implementation in next-generation optical networks, paving the way for power-efficient, self-healing transport infrastructures. ⚡🚀

📢 Stay tuned for more insights from ALLEGRO D3.2 as we continue pushing the boundaries of network innovation!

#HorizonEurope #ALLEGROProject #DigitalTwins #SelfHealingNetworks #OpticalNetworking #GNPy #FutureNetworks