Yosuf, BA, Musa, M, Elgorashi, T et al. (1 more author) (2019) Impact of Distributed Processing on Power Consumption for IoT Based Surveillance Applications. In: Proceedings of the 21st International Conference on Transparent Optical Networks (ICTON 2019). ICTON 2019: 21st International Conference on Transparent Optical Networks, 09-13 Jul 2019, Angers, France. IEEE ISBN 978-1-7281-2779-8
Abstract
With the rapid proliferation of connected devices in the Internet of Things (IoT), the centralized cloud solution faces several challenges, out of which, power consumption is one of the top priorities among the research community. In this paper, we evaluate the impact of demand splitting over heterogeneous processing resources in an IoT platform, supported by Fog and Cloud infrastructure. We develop a Mixed Integer Linear Programming (MILP) model to study the gains of splitting resource intensive demands among IoT nodes, Fog devices and Cloud servers. A surveillance application is considered, which consists of multiple smart cameras capable of capturing and analyzing real-time video streams. The PON access network aggregates IoT layer demands for processing in the Fog or the Cloud, which is accessed through the IP/WDM network. For typical video analysis workloads, the results show that, splitting medium demand sizes among IoT and Fog resources yields a total power consumption saving of up to 32%, even if these layers can host only 10% of the total workload and this can reach up to 93% for lower number of demands, compared to the centralized cloud solution. However, the gains in power savings from splitting decreases as the number of splits increases.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 IEEE. This is an author produced version of a paper accepted for publication in 2019 21st International Conference on Transparent Optical Networks (ICTON). 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: | IoT surveillance, PON, energy efficiency, fog, 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 EPSRC EP/R511717/1 EPSRC EP/S016570/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Jul 2019 11:50 |
Last Modified: | 04 Oct 2019 01:30 |
Published Version: | https://ieeexplore.ieee.org/xpl/conhome/1000766/al... |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICTON.2019.8840023 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149141 |