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Data-Driven Bandwidth Allocation in EONs

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Conference object 01 Sep 2018 Cyprus Publisher:IEEEJournal:2018 Photonics in Switching and Computing (PSC)Funded by:EC | KIOS CoE

Authors: Panayiotou, Tania; Ellinas, Georgios; Panayiotou, Tania; Ellinas, Georgios;

doi: 10.1109/ps.2018.8751369

Data-Driven Bandwidth Allocation in EONs

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Abstract

We investigate periodically and dynamically reconfiguring elastic optical networks (EONs) utilizing predictive bandwidth allocation models found by applying reinforcement learning. These models aim at efficiently utilizing the network resources so that the quality-of-service (QoS) requirements are met, in networks where the traffic is evolving in an uncertain way.

Country

Cyprus

Related Organizations

University of Cyprus
Cyprus
KIOS Research and Innovation Center of Excellence
Cyprus

Keywords

Machine Learning, Dynamic Reconfigurations, Traffic Demand Prediction

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