Alharbi, H, Elgorashi, T and Elmirghani, J (2019) Energy Efficient Virtual Machine Services Placement in Cloud-Fog Architecture. In: 2019 21st International Conference on Transparent Optical Networks (ICTON). International Conference on Transparent Optical Networks 2019, 09-13 Jul 2019, Angers, France. IEEE ISBN 9781728127798
Abstract
The proliferation in data volume and processing requests calls for a new breed of on-demand computing. Fog computing is proposed to address the limitations of cloud computing by extending processing and storage resources to the edge of the network. Cloud and fog computing employ virtual machines (VMs) for efficient resource utilization. In order to optimize the virtual environment, VMs can be migrated or replicated over geo-distributed physical machines for load balancing and energy efficiency. In this work, we investigate the offloading of VM services from the cloud to the fog considering the British Telecom (BT) network topology. The analysis addresses the impact of different factors including the VM workload and the proximity of fog nodes to users considering the data rate of state-of-the-art applications. The results show that the optimum placement of VMs significantly decreases the total power consumption by up to 75% compared to a single cloud placement.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2019 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: | fog computing, IP over WDM network, energy efficiency, virtual machine, VM workload |
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 EPSRC EP/R511717/1 EPSRC EP/S016570/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Jul 2019 11:08 |
Last Modified: | 05 Nov 2019 15:05 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICTON.2019.8840258 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149176 |