Adapting Spectrum Resources using Predicted IP Traffic in Optical Networks

Constantine Kyriakopoulos, Petros Nicopolitidis, Georgios Papadimitriou, Emmanouel Varvarigos

2020

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.

Paper Citation

in Harvard Style

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 - Volume 1: DCNET, ISBN 978-989-758-445-9, pages 53-58. DOI: 10.5220/0009819500530058

in Bibtex Style

@conference{dcnet20,
author={Constantine Kyriakopoulos and Petros Nicopolitidis and Georgios 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 - Volume 1: DCNET,},
year={2020},
pages={53-58},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009819500530058},
isbn={978-989-758-445-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - Volume 1: DCNET,
TI - Adapting Spectrum Resources using Predicted IP Traffic in Optical Networks
SN - 978-989-758-445-9
AU - Kyriakopoulos C.
AU - Nicopolitidis P.
AU - Papadimitriou G.
AU - Varvarigos E.
PY - 2020
SP - 53
EP - 58
DO - 10.5220/0009819500530058