76 citations · 272 across the 20 of their papers we have counts for
6 papers · 1 filter
Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks
Hafsa Maryam, Tania Panayiotou, Georgios Ellinas
A multi-period planning framework is proposed that exploits multi-step ahead traffic predictions to address service overprovisioning and improve adaptability to traffic changes, wh…
Survey on Machine Learning for Traffic-Driven Service Provisioning in Optical Networks
Tania Panayiotou, Maria Michalopoulou, Georgios Ellinas
The unprecedented growth of the global Internet traffic, coupled with the large spatio-temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are…
Fair Resource Allocation in Optical Networks under Tidal Traffic
Tania Panayiotou, Georgios Ellinas
We propose an alpha-fair routing and spectrum allocation (RSA) framework for reconfigurable elastic optical networks under modeled tidal traffic, that is based on the maximization…
Network Coding-based Routing and Spectrum Allocation in Elastic Optical Networks for Enhanced Physical Layer Security
Giannis Savva, Konstantinos Manousakis, Georgios Ellinas
In this work, an eavesdropping-aware routing and spectrum allocation approach is proposed utilizing network coding (NC) in elastic optical networks (EONs). To provide physical laye…
Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks
Tania Panayiotou, Giannis Savva, Ioannis Tomkos +1
Dynamic network slicing has emerged as a promising and fundamental framework for meeting 5G's diverse use cases. As machine learning (ML) is expected to play a pivotal role in the…
Machine Learning for QoT Estimation of Unseen Optical Network States
Tania Panayiotou, Giannis Savva, Behnam Shariati +2
We apply deep graph convolutional neural networks for Quality-of-Transmission estimation of unseen network states capturing, apart from other important impairments, the inter-core…