Ramón Casellas

This demonstration showcases how TeraFlowSDN provides support for hierarchical control of multiple heterogeneous SDN domains (through IP, microwave and optical technologies). Different transport slices are offered with multiple SLAs and grouped to optimize resources.

This paper discusses the advantages and challenges of multiple architectures that consider the negotiation of inter-domain transport network slices using blockchain technologies. To this end, we present results obtained using cloud-native ETSI TeraFlowSDN controller.

We experimentally demonstrate an SDN architecture for WDM VNTs to offload pass-through high bit-rate optical channels from overloaded ROADMs by provisioning spatial channels between the source and destination ROADM’s add-drop stages, and rerouting the optical channels.

We experimentally demonstrate the dynamic reconfiguration of WDM VNTs in response to SDM spatial channel failures. We present an SDN control architecture with gRPC-telemetry and analytics to detect failures and restore failed virtual WDM links.

We propose an architecture to deploy Digital Twin Optical Networks (DTON), which provide a virtual representation of the physical optical network. DTON allow the assessment of specific behaviors before actual implementation in the physical network.

We demonstrate zero-touch device bootstrapping, monitoring, and L3-VPN service management using the novel TeraFlow OS SDN controller prototype.

This demonstration will showcase the end-to-end orchestration of virtual network functions in the full-fledged ADRENALINE Testbed Cloud Platform expanding from the edge to the cloud.

We present a WDM over SDM control system that detects overloaded/underloaded WDM links between ROADMs and provisions/removes virtual WDM links in response to dynamic traffic changes in SDN-enabled WDM VNTs over SDM Networks.

This demo presents the TeraFlowSDN controller as a solution to provide dedicated transport network slices with SLAs. To this end, the demo details how the interface between an NFV orchestrator and the SDN controller can provide transport network slices using protected disjoint paths.

In spite of their popularity, developing secure smart contracts remains a challenging task. Existing solutions are either impractical as they do not support many complex real-world contracts or leave the burden to developers for fixing bugs.

Data center (DC) interconnection allows us to have optical transmissions between DCs directly connected to optical networks, avoiding the use of a packet-based infrastructure.

Maintaining a good quality of transmission (QoT) in optical transport networks is key to maintaining the service level agreement between the user and the service provider.

We provide an overview of SDN control architectures for WDM over SDM (WDMoSDM) optical networks. We address dynamic management of end-to-end connec- tivity services and WDM virtual network topologies (VNTs) for partially disaggregated multi-domain WDMoSDM networks.

This paper presents and experimentally validates a Blockchain-based architecture to manage End-to-End Network Slice Deployment by stitching Network Slice Subnets in edge/cloud computing domains connected through packet/optical transport networks domains managed by different operators.

We present a cloud-native architecture with a machine learning QoT predictor that enables cognitive functions in transport SDN controllers. We evaluate the QoT predictor training and auto-scaling capabilities in a real WDM/SDM testbed.