Binti Md Isa, IS, Musa, MOI, El-Gorashi, TEG et al. (1 more author) (2019) Energy Efficient and Resilient Infrastructure for Fog Computing Health Monitoring Applications. In: 2019 21st International Conference on Transparent Optical Networks (ICTON 2019). 2019 21st International Conference on Transparent Optical Networks (ICTON), 09-13 Jul 2019, Angers, France. ISBN 978-1-7281-2779-8
Abstract
In this paper, we propose an energy efficient and resilient fog computing infrastructure for health monitoring applications. We design the infrastructure to be resilient against server failures under two scenarios, without geographical constraint and with geographical constraint. We consider a heart monitoring application where patients send their 30-seconds recording of Electrocardiogram (ECG) signal for processing, analysis and decision making at both primary and backup servers. A Mixed Integer Linear Programming (MILP) is used to optimize the number and locations of the primary and backup processing servers so that the energy consumption of both the processing and networking equipment are minimized. The results show that considering geographical constraint yields a network energy consumption increase by up to 9.36% compared to without geographical constraint. The results also show that, the increasing number of processing servers that can be served at each candidate node can reduce the energy consumption of networking equipment besides reducing the energy increment rate of networking equipment due to increasing level of demand.
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. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Energy Efficiency, ECG Signal, Fog Computing, Gigabit Passive Optical Networks (GPON), Health Monitoring, Mixed Integer Linear Programming (MILP), Primary Processing Server, Backup Processing Server, Resilience. |
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 (Engineering and Physical Sciences Research Council) EP/H040536/1 EPSRC (Engineering and Physical Sciences Research Council) EP/K016873/1 EPSRC (Engineering and Physical Sciences Research Council) EP/R511717/1 EPSRC (Engineering and Physical Sciences Research Council) EP/S016570/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Aug 2021 15:01 |
Last Modified: | 25 Jun 2023 21:47 |
Status: | Published |
Identification Number: | 10.1109/ICTON.2019.8840438 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:144655 |