Lawey, AQ, El-Gorashi, TEH and Elmirghani, JMH (2015) Renewable energy in distributed energy efficient content delivery clouds. In: IEEE International Conference on Communications. 2015 IEEE International Conference on Communications, 08-12 Jun 2015, London, UK. IEEE , pp. 128-134. ISBN 9781467364324
Abstract
In this paper, we develop a Mixed Integer Linear Programming (MILP) model to study the impact of renewable energy availability, represented by wind farms, on the location of clouds and the content replication schemes of cloud content over IP/WDM networks. In our analysis, we assume that renewable energy is only available to power clouds while the IP/WDM network is powered by non-renewable energy. Our results show that popularity based replication in clouds is the most energy efficient content replication scheme when the clouds are powered only by non-renewable energy sources or when renewable energy availability is limited. With abundant renewable energy, a cloud with a full copy of the content can be built at each node. However, the model should achieve a trade-off between the transmission power losses to deliver renewable energy from wind farms to clouds and the non-renewable power consumption of the IP/WDM network. We discuss this trade-off and show how to optimize the transmission power losses of renewable energy while minimizing the non-renewable network power consumption.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. |
Keywords: | Cloud computing, popularity, content delivery, IP/WDM, energy consumption, renewable energy |
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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Apr 2016 15:21 |
Last Modified: | 19 Jan 2018 07:52 |
Published Version: | http://dx.doi.org/10.1109/ICC.2015.7248310 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICC.2015.7248310 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:96365 |