Nasralla, ZAID, El-Gorashi, TEH, Musa, MOI et al. (1 more author) (2016) Energy-Efficient Traffic Scheduling in IP over WDM Networks. In: Proceedings of the 2015 9th International Conference on Next Generation Mobile Applications, Services and Technologies. 9th International Conference on Next Generation Mobile Applications, Services and Technologies 2015, 09-11 Sep 2015, Cambridge UK. IEEE , pp. 161-164. ISBN 9781479986606
Abstract
In this paper, we investigate the energy efficiency that can be achieved by using traffic scheduling in IP over WDM networks. A mixed integer linear programming model is developed to optimize routing and scheduling in dynamically arriving demands, where part of the demands can be allocated within a sliding window. The results show that scheduling improves the energy efficiency of non-bypass IP/WDM networks, with traffic grooming by up to 25% and blocking is reduced by 30%.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 2015. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Traffic scheduling; Advance Reservation; Energy-Efficiency |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/H040536/1 EPSRC EP/K016873/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 Oct 2019 10:30 |
Last Modified: | 01 Oct 2019 10:30 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/NGMAST.2015.53 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:90950 |