Mohamed, SH orcid.org/0000-0002-6234-1906, Elgorashi, TEH and Elmirghani, JMH (2018) Energy Efficiency of Server-Centric PON Data Center Architecture for Fog Computing. In: ICTON 2018. ICTON 2018: 20th International Conference on Transparent Optical Networks, 01-05 Jul 2018, Bucharest, Romania. IEEE ISBN 978-1-5386-6605-0
Abstract
In this paper, we utilize Mixed Integer Linear Programming (MILP) models to compare the energy efficiency and performance of a server-centric Passive Optical Networks (PON)-based data centers design with different data centers networking topologies for the use in fog computing. For representative MapReduce workloads, completion time results indicate that the server-centric PON-based design achieves 67% reduction in the energy consumption compared to DCell with equivalent performance.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. This is an author produced version of a paper published in ICTON 2018. 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: | Data Center Networking (DCN); Passive Optical Networks (PON); Optical Line Terminal (OLT); MapReduce; energy efficiency; completion time |
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/K503836/1 EPSRC EP/H040536/1 EPSRC EP/K016873/1 EPSRC EP/R511717/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Aug 2018 10:37 |
Last Modified: | 05 Dec 2018 14:58 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICTON.2018.8473877 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134713 |