Adapting Spectrum Resources using Predicted IP Traffic in Optical Networks

Constantine A. Kyriakopoulos; Petros Nicopolitidis; Georgios I. Papadimitriou; Emmanouel Varvarigos

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Paper

Adapting Spectrum Resources using Predicted IP Traffic in Optical Networks

Topics: Network Architectures; Network Monitoring and Control

In Proceedings of the 17th International Joint Conference on e-Business and Telecommunications DCNET - Volume 1, 53-58, 2020 , Lieusaint - Paris, France

Authors: Constantine A. Kyriakopoulos ¹ ; Petros Nicopolitidis ¹ ; Georgios I. Papadimitriou ¹ and Emmanouel Varvarigos ²

Affiliations: ¹ Dept. of Informatics, Aristotle University, Thessaloniki, Greece ; ² School of Electrical and Computer Engineering, National Technical University of Athens, Greece

Keyword(s): Optical Networks, Particle Swarm Optimisation, Linear Regression, Analytics, Load Balancing, Traffic Prediction.

Abstract: Elastic optical networks provide the advantage of elaborate resource utilisation for achieving a wide range of performance goals. Cross-layer optimisation is feasible by exploiting high layer IP traffic prediction for achieving efficient lightpath establishment at the lower layer. Swarm Intelligence can provide a tool to adaptively allocate spectrum resources according to traffic analytics from the IP layer. A new algorithm is designed and evaluated that exploits these analytics using particle swarm optimisation to allocate spectrum.

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Paper citation in several formats:

Kyriakopoulos, C. ; Nicopolitidis, P. ; Papadimitriou, G. and Varvarigos, E. (2020). Adapting Spectrum Resources using Predicted IP Traffic in Optical Networks. In Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - DCNET; ISBN 978-989-758-445-9; ISSN 2184-3236, SciTePress, pages 53-58. DOI: 10.5220/0009819500530058

@conference{dcnet20,
author={Constantine A. Kyriakopoulos and Petros Nicopolitidis and Georgios I. Papadimitriou and Emmanouel Varvarigos},
title={Adapting Spectrum Resources using Predicted IP Traffic in Optical Networks},
booktitle={Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - DCNET},
year={2020},
pages={53-58},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009819500530058},
isbn={978-989-758-445-9},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - DCNET
TI - Adapting Spectrum Resources using Predicted IP Traffic in Optical Networks
SN - 978-989-758-445-9
IS - 2184-3236
AU - Kyriakopoulos, C.
AU - Nicopolitidis, P.
AU - Papadimitriou, G.
AU - Varvarigos, E.
PY - 2020
SP - 53
EP - 58
DO - 10.5220/0009819500530058
PB - SciTePress