Nonde, L, Elgorashi, TEH and Elmirghani, JMH (2015) Cloud Virtual Network Embedding: Profit, Power and Acceptance. In: 2015 IEEE Global Communications Conference. GLOBECOM, 06-10 Dec 2015, San Diego, California. IEEE ISBN 978-1-4799-5952-5
Abstract
In this paper, we investigate maximizing the profit achieved by infrastructure providers (InPs) from embedding virtual network requests (VNRs) in IP/WDM core networks with clouds. We develop a mixed integer linear programming (MILP) model to study the impact of maximizing the profit on the power consumption and acceptance of VNRs. The results show that higher acceptance rates do not necessarily lead to higher profit due to the high cost associated with accepting some of the requests. The results also show that minimum power consumption can be achieved while maintaining the maximum profit.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 IEEE. This is an author produced version of a paper published in 2015 IEEE Global Communications Conference (GLOBECOM). 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. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Cloud Networks; 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 |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Aug 2015 10:44 |
Last Modified: | 16 Jan 2018 12:57 |
Published Version: | http://dx.doi.org/10.1109/GLOCOM.2015.7417788 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/GLOCOM.2015.7417788 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88992 |