Nonde, L, Elgorashi, TEH and Elmirghani, JMH (2017) Virtual Network Embedding Employing Renewable Energy Sources. In: 2016 IEEE Global Communications Conference (GLOBECOM). 2016 IEEE Global Communications Conference (GLOBECOM), 04-08 Dec 2016, Washington DC USA. IEEE ISBN 978-1-5090-1328-9
Abstract
Environmental sustainability in high capacity networks and cloud data centers has become one of the hottest research subjects. In this paper, we investigate the effective use of renewable energy and hence resource allocation in core networks with clouds as a means of reducing the carbon footprint. We develop a Green Virtual Network Embedding (GVNE) framework for minimizing the use of non-renewable energy through intelligent provisioning of bandwidth and cloud data center resources. The problem is modeled as a mixed integer linear program (MILP). The results show that it is better to instantiate virtual machines in cloud data centers that have access to abundant renewable energy even at the expense of traversing several links across the network. The GVNE model reduces the overall CO2 emissions by up to 32% for the network considering solar power availability and data center locations.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016, IEEE. 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: | Cloud Networks; Renewable Energy, Virtual Network Embedding; Network Virtualization; MILP; Energy Efficient Networks; IP over WDM |
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: | 04 Nov 2016 10:37 |
Last Modified: | 17 Jan 2018 06:44 |
Published Version: | https://doi.org/10.1109/GLOCOM.2016.7842376 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/GLOCOM.2016.7842376 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:106934 |