Advances in SDN control for Beyond 100G disaggregated optical networks
This tutorial considers the evolution of SDN control for optical transport networks in disaggregated scenarios, focusing on its requirements and challenges when applied to "beyond 100G" networks -
Special session paper: “Autonomous Network Management towards 6G. Cloud-Native SDN Network Management for Beyond 5G Networks with TeraFlow”
TeraFlow proposes a novel secured transport Software Defined Networking (SDN) controller based on a microservice architecture.
Workshop paper: “From 5G to 6G Automated and Intelligent SecuriTy: FAST. Cloud-Scale SDN Network Security in TeraFlow”
TeraFlow proposes a new type of secure, cloudnative Software Defined Networking controller that will radically advance the state-of-the-art in beyond 5G networks by introducing novel micro-services
TeraFlow: Secured Autonomic Traffic Management for a Tera of SDN Flows
TeraFlow proposes a new type of secure, cloud-native Software Defined Networking (SDN) controller that will radically advance the state-of-the-art in beyond 5G networks by introducing novel micro-s
Demo paper: “Operationalizing partially disaggregated optical networks: An open standards-driven multi-vendor demonstration”
We present and demonstrate service provisioning in partially disaggregated multi-vendor network automation scenarios with online physical impairment validation.
Demo paper: Scalable Architecture for Cloud-native Transport SDN Controller Using GNPy and Machine Learning techniques for QoT estimation
This demo shows a cloud-native SDN controller that can estimate end-to-end QoT using both analytical (GNPy) and machine learning algorithms on WDM systems.
Blockchain-Based Connectivity Provisioning in Multiple Transport SDN Domains
Hierarchical Software Define Networking (SDN) architectures is used to manage the co-existence of multiple domains by having an element on top.
Autonomous Security Management in Optical Networks
The paper describes the Optical Security Manager module and focuses on the role of Machine Learning (ML) techniques.
Multi-layer Transport Network Slicing with Hard and Soft Isolation
We validate the deployment of isolated transport network slices in IP over DWDM network.
First Scalable Machine Learning Based Architecture for Cloud-native Transport SDN Controller
We present a cloud-native architecture with a machine learning QoT predictor that enables cognitive functions in transport SDN controllers.