Al-Salim, AMA, Lawey, AQ, El-Gorashi, TEH et al. (1 more author) (2015) Energy Efficient Tapered Data Networks for Big Data Processing in IP/WDM Networks. In: 2015 17th International Conference on Transparent Optical Networks (ICTON). 17th International Conference on Transparent Optical Networks (ICTON 2015), 05-09 Jul 2015, Budapest, Hungary. IEEE ISBN 978-1-4673-7880-2
Abstract
Classically the data produced by Big Data applications is transferred through the access and core networks to be processed in data centers where the resulting data is stored. In this work we investigate improving the energy efficiency of transporting Big Data by processing the data in processing nodes of limited processing and storage capacity along its journey through the core network to the data center. The amount of data transported over the core network will be significantly reduced each time the data is processed therefore we refer to such a network as an Energy Efficient Tapered Data Network. The results of a Mixed Integer linear Programming (MILP), developed to optimize the processing of Big Data in the Energy Efficient Tapered Data Networks, show significant reduction in network power consumption up to 76%.
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 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: | Big Data; IP/WDM; energy consumption; routing; distributed processing |
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: | 25 Aug 2015 11:26 |
Last Modified: | 17 Jan 2018 06:09 |
Published Version: | http://doi.org/10.1109/ICTON.2015.7193536 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICTON.2015.7193536 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88009 |