Publications

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.

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.

Today's networks support a great variety of services with different bandwidth and latency requirements. To maintain high user satisfaction and efficient resource utilization, providers employ traffic shaping.

Permissionless blockchains such as Bitcoin have long been criticized for their high computational and storage overhead.

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.

The Internet has been constantly evolving beyond its original purpose to ensure the reachability between endpoints wherever they may be located.

In addition to the already present heterogeneity in the network service and application ecosystem, new challenges come in the form of emerging applications which require deterministic delay performance characteristics that go beyond traditional SLAs.

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.

Network Digital Twin (NDT) is a new technology that builds on the concept of Digital Twins (DT) to create a virtual representation of the physical objects of a telecommunications network.

Due to the growing rise of cyber attacks in the Internet, the demand of accurate intrusion detection systems (IDS) to prevent these vulnerabilities is increasing. To this aim, Machine Learning (ML) components have been proposed as an efficient and effective solution.

Abstract: Scenarios related to 5G and beyond give rise to a high degree of heterogeneity in terms of applications, services, and user expectations as well as more demanding QoS requirements with an end-to-end scope that can cover multiple operator domains.

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.

Solving the convergence issues of Generative Adversarial Networks (GANs) is one of the most outstanding problems in generative models. In this work, we propose a novel activation function to be used as output of the generator agent.