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    Rights statement: This is the author’s version of a work that was accepted for publication in Journal of Systems and Software. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Systems and Software, 154, 2019 DOI: 10.1016/j.jss.2019.04.058

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ROUTER: Fog Enabled Cloud based Intelligent Resource Management Approach for Smart Home IoT Devices

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ROUTER : Fog Enabled Cloud based Intelligent Resource Management Approach for Smart Home IoT Devices. / Gill, Sukhpal Singh; Garraghan, Peter; Buyya, Rajkumar.

In: Journal of Systems and Software, Vol. 154, 01.08.2019, p. 125-138.

Research output: Contribution to journalJournal article

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@article{bfcf32901b00411a92ccf9009fcc6853,
title = "ROUTER: Fog Enabled Cloud based Intelligent Resource Management Approach for Smart Home IoT Devices",
abstract = "There is a growing requirement for Internet of Things (IoT) infrastructure to ensure low response time to provision latency-sensitive real-time applications such as health monitoring, disaster management, and smart homes. Fog computing offers a means to provide such requirements, via a virtualized intermediate layer to provide data, computation, storage, and networking services between Cloud datacenters and end users. A key element within such Fog computing environments is resource management. While there are existing resource manager in Fog computing, they only focus on a subset of parameters important to Fog resource management encompassing system response time, network bandwidth, energy consumption and latency. To date no existing Fog resource manager considers these parameters simultaneously for decision making, which in the context of smart homes will become increasingly key. In this paper, we propose a novel resource management technique (ROUTER) for fog-enabled Cloud computing environments, which leverages Particle Swarm Optimization to optimize simultaneously. The approach is validated within an IoT-based smart home automation scenario, and evaluated within iFogSim toolkit driven by empirical models within a small-scale smart home experiment. Results demonstrate our approach results a reduction of 12% network bandwidth, 10% response time, 14% latency and 12.35% in energy consumption.",
keywords = "Fog Computing, Cloud Computing, Internet of Things, Smart Home, Resource Management, Edge Computing",
author = "Gill, {Sukhpal Singh} and Peter Garraghan and Rajkumar Buyya",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Journal of Systems and Software. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Systems and Software, 154, 2019 DOI: 10.1016/j.jss.2019.04.058",
year = "2019",
month = aug
day = "1",
doi = "10.1016/j.jss.2019.04.058",
language = "English",
volume = "154",
pages = "125--138",
journal = "Journal of Systems and Software",
issn = "0164-1212",
publisher = "Elsevier Inc.",

}

RIS

TY - JOUR

T1 - ROUTER

T2 - Fog Enabled Cloud based Intelligent Resource Management Approach for Smart Home IoT Devices

AU - Gill, Sukhpal Singh

AU - Garraghan, Peter

AU - Buyya, Rajkumar

N1 - This is the author’s version of a work that was accepted for publication in Journal of Systems and Software. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Systems and Software, 154, 2019 DOI: 10.1016/j.jss.2019.04.058

PY - 2019/8/1

Y1 - 2019/8/1

N2 - There is a growing requirement for Internet of Things (IoT) infrastructure to ensure low response time to provision latency-sensitive real-time applications such as health monitoring, disaster management, and smart homes. Fog computing offers a means to provide such requirements, via a virtualized intermediate layer to provide data, computation, storage, and networking services between Cloud datacenters and end users. A key element within such Fog computing environments is resource management. While there are existing resource manager in Fog computing, they only focus on a subset of parameters important to Fog resource management encompassing system response time, network bandwidth, energy consumption and latency. To date no existing Fog resource manager considers these parameters simultaneously for decision making, which in the context of smart homes will become increasingly key. In this paper, we propose a novel resource management technique (ROUTER) for fog-enabled Cloud computing environments, which leverages Particle Swarm Optimization to optimize simultaneously. The approach is validated within an IoT-based smart home automation scenario, and evaluated within iFogSim toolkit driven by empirical models within a small-scale smart home experiment. Results demonstrate our approach results a reduction of 12% network bandwidth, 10% response time, 14% latency and 12.35% in energy consumption.

AB - There is a growing requirement for Internet of Things (IoT) infrastructure to ensure low response time to provision latency-sensitive real-time applications such as health monitoring, disaster management, and smart homes. Fog computing offers a means to provide such requirements, via a virtualized intermediate layer to provide data, computation, storage, and networking services between Cloud datacenters and end users. A key element within such Fog computing environments is resource management. While there are existing resource manager in Fog computing, they only focus on a subset of parameters important to Fog resource management encompassing system response time, network bandwidth, energy consumption and latency. To date no existing Fog resource manager considers these parameters simultaneously for decision making, which in the context of smart homes will become increasingly key. In this paper, we propose a novel resource management technique (ROUTER) for fog-enabled Cloud computing environments, which leverages Particle Swarm Optimization to optimize simultaneously. The approach is validated within an IoT-based smart home automation scenario, and evaluated within iFogSim toolkit driven by empirical models within a small-scale smart home experiment. Results demonstrate our approach results a reduction of 12% network bandwidth, 10% response time, 14% latency and 12.35% in energy consumption.

KW - Fog Computing

KW - Cloud Computing

KW - Internet of Things

KW - Smart Home

KW - Resource Management

KW - Edge Computing

U2 - 10.1016/j.jss.2019.04.058

DO - 10.1016/j.jss.2019.04.058

M3 - Journal article

VL - 154

SP - 125

EP - 138

JO - Journal of Systems and Software

JF - Journal of Systems and Software

SN - 0164-1212

ER -