loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Authors: Georgia Beletsioti 1 ; Georgios Papadimitriou 1 ; Petros Nicopolitidis 1 ; Emmanouel Varvarigos 2 and Stathis Mavridopoulos 1

Affiliations: 1 Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, GR-54124, Greece ; 2 School of Electrical and Computer Engineering, National Technical University of Athens, Athens, GR-15780, Greece

Keyword(s): Adaptivity, Elastic Optical Network, Energy-efficiency, Learning Automata.

Abstract: Efficient use of available bandwidth plays an important role in performance enhancement due to the wide penetration of high-bandwidth demanding services. The flexible nature of elastic optical networks (EONs) effectively uses spectral resources for communication by allocating the minimum required bandwidth to customer requirements. Since the energy consumption of such networks scales with the magnitude of bandwidth demand, many studies have addressed the issue of energy wastage in optical networks. Learning Automata are Artificial Intelligence tools that have been used in networking algorithms where adaptivity to the characteristics of the network environment can result in a significant increase in network performance. This work introduces a new adaptive power-aware algorithm, which selectively switches off bandwidth variable optical transponders (BVTs) under low utilization scenarios supporting energy efficiency. A novel algorithm which uses LA technology and significantly reduces t he total energy consumption, while maintaining low bandwidth blocking probability (BBP), is proposed. LA mechanism applied in this work, aims to find the best number of BVTs to be switched off so as for the BBP not to be affected. Simulation results are presented, which indicate that the proposed algorithm achieves a power saving of up to 50%, compared to non-adaptive solutions. (More)

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 3.236.51.151

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:
Beletsioti, G.; Papadimitriou, G.; Nicopolitidis, P.; Varvarigos, E. and Mavridopoulos, S. (2020). A Learning Automata-based Algorithm for Energy-efficient Elastic Optical Networks. In Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - DCNET, ISBN 978-989-758-445-9; ISSN 2184-2825, pages 27-34. DOI: 10.5220/0009819400270034

@conference{dcnet20,
author={Georgia Beletsioti. and Georgios Papadimitriou. and Petros Nicopolitidis. and Emmanouel Varvarigos. and Stathis Mavridopoulos.},
title={A Learning Automata-based Algorithm for Energy-efficient Elastic Optical Networks},
booktitle={Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - DCNET,},
year={2020},
pages={27-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009819400270034},
isbn={978-989-758-445-9},
issn={2184-2825},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - DCNET,
TI - A Learning Automata-based Algorithm for Energy-efficient Elastic Optical Networks
SN - 978-989-758-445-9
IS - 2184-2825
AU - Beletsioti, G.
AU - Papadimitriou, G.
AU - Nicopolitidis, P.
AU - Varvarigos, E.
AU - Mavridopoulos, S.
PY - 2020
SP - 27
EP - 34
DO - 10.5220/0009819400270034

0123movie.net