Optimizing Energy Efficiency in TeraFlow with Green AI Techniques: A Journey Towards Sustainability in SDN Networks

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In today's ever-evolving technological landscape, security breaches are becoming increasingly prevalent. With Software-defined Networking (SDN) networks being a primary target for hackers, it's more important than ever to have strong security measures in place. Fortunately, the TeraFlow project has stepped up to the challenge by introducing enhanced security features for SDN networks through the use of Artificial Intelligence (AI) techniques.

 

Demo paper: “Demonstration of a Scalable and Efficient Pipeline for ML-based Optical Monitoring”

We demonstrate a scalable processing of OPM data using ML to detect anomalies in optical services at run time. A dashboard will show operational SDN controller metrics, raw OPM data, and the ML assessment result. This demo shows that with this proposal it becomes easy to diagnose thousands of optical channels using ML.

Estilo 3

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TeraFlowSDN in the Mobile World Congress (MWC2023)

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From February 27 to March 2, Barcelona was again the world capital of technology and innovation thanks to Mobile World Congress (MWC2023) in the Gran Via venue of Fira Barcelona, Spain.

TeraFlow was exhibited at the Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) booth: Congress Square, Catalonia Pavillion, Hall 210, Booth 19.

Intent-Driven Management for Multi-Vertical End-to-End Network Slicing Services

Moving forward from 5G to 6G, one critical open challenge is customer-driven and autonomous networks management. To enable autonomy in a large-scale, it is important to separate the customer-centric requirements from the detailed network-and resource-centric operations. Intent has been proposed as a means to abstract the expectations of services and hide the implementation details from customers.

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