Alharbi, HA, El-Gorashi, TEH, Lawey, AQ et al. (1 more author) (2017) Energy Efficient Virtual Machines Placement in IP over WDM Networks. In: 19th International Conference on Transparent Optical Networks (ICTON 2017). 19th International Conference on Transparent Optical Networks (ICTON 2017), 02-06 Jul 2017, Girona, Spain. IEEE ISBN 978-1-5386-0859-3
Abstract
Virtual machines (VMs) offer an economic and scalable solution to efficiently utilize the physical resources. In this paper, we investigate the optimization of VM placement in IP over WDM core networks considering a VM workload that varies with the number of users served by the VM. Our results show that the optimal VM placement in distributed clouds yields up to 23% total power saving compared to a single cloud.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2017 IEEE. This is an author produced version of a paper published in proceedings of 19th International Conference on Transparent Optical Networks (ICTON 2017). 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 computing, virtual machine, IP over WDM network, power consumption, MILP. |
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: | 24 May 2017 13:01 |
Last Modified: | 20 Jan 2018 13:38 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICTON.2017.8024957 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116824 |