Nonde, L, Lawey, AQ, Elgorashi, TEH et al. (1 more author) (2017) Energy Efficient Cloud Networks. In: International Workshop on Green ICT and Smart Networking (GISN 2016). 12th International Conference on Network and Service Management, 31 Oct - 04 Nov 2016, Montreal, Quebec, Canada.. IEEE , pp. 412-417. ISBN 978-1-5090-3236-5
Abstract
Cloud computing is expected to be a major factor that will dominate the future Internet service model. This paper summarizes our work on energy efficiency for cloud networks. We develop a framework for studying the energy efficiency of four cloud services in IP over WDM networks: cloud content delivery, storage as a service (StaaS), and virtual machines (VMS) placement for processing applications and infrastructure as a service (IaaS).Our approach is based on the co-optimization of both external network related factors such as whether to geographically centralize or distribute the clouds, the influence of users’ demand distribution, content popularity, access frequency and renewable energy availability and internal capability factors such as the number of servers, switches and routers as well as the amount of storage demanded in each cloud. Our investigation of the different energy efficient approaches is backed with Mixed Integer Linear Programming (MILP) models and real time heuristics
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 IFIP. 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: | Virtual Network Embedding; Cloud; Content Distribution; Virtual Machine Migration; Network Virtualization |
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: | 10 Nov 2016 12:17 |
Last Modified: | 27 Jan 2018 06:49 |
Published Version: | https://doi.org/10.1109/CNSM.2016.7818457 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/CNSM.2016.7818457 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:107255 |