[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 79.170.44.78

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic

<style> #socialicons>a span { top: 0px; left: -100%; -webkit-transition: all 0.3s ease; -moz-transition: all 0.3s ease-in-out; -o-transition: all 0.3s ease-in-out; -ms-transition: all 0.3s ease-in-out; transition: all 0.3s ease-in-out;} #socialicons>ahover div{left: 0px;} </style>