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An Energy Harvesting Solution for Computation Offloading in Fog Computing Networks

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An Energy Harvesting Solution for Computation Offloading in Fog Computing Networks. / Bozorgchenani, Arash; Disabato, Simone; Tarchi, Daniele; Roveri, Manuel.

In: Computer Communications, Vol. 160, 01.07.2020, p. 577-587.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Bozorgchenani, A, Disabato, S, Tarchi, D & Roveri, M 2020, 'An Energy Harvesting Solution for Computation Offloading in Fog Computing Networks', Computer Communications, vol. 160, pp. 577-587. https://doi.org/10.1016/j.comcom.2020.06.032

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Bozorgchenani, Arash ; Disabato, Simone ; Tarchi, Daniele ; Roveri, Manuel. / An Energy Harvesting Solution for Computation Offloading in Fog Computing Networks. In: Computer Communications. 2020 ; Vol. 160. pp. 577-587.

Bibtex

@article{e1e4d5c5c6d740b7b5a05ed19fd69fad,
title = "An Energy Harvesting Solution for Computation Offloading in Fog Computing Networks",
abstract = "Fog Computing is a promising networking paradigm enabling the nodes at the edge to share computational and storage resources. Being pervasively distributed, Fog Nodes are often battery powered and, for this reason, an efficient energy management should be considered to prolong network lifetime. In this paper, we introduce a smart energy management solution able to exploit information about the predicted harvested and consumed energy by Fog Nodes, equipped with small solar panels. The smart energy management is applied on a cluster based Fog Computing environment where computation offloading operations are performed. In the experimental section the effect of the smart energy management is explored in terms of network lifetime by considering variable battery size and Fog Nodes density in a realistic solar-panel harvesting-model and Fog Nodes setting.",
keywords = "Fog Computing, Energy harvesting, Computation offloading, Clustering, Internet of Things",
author = "Arash Bozorgchenani and Simone Disabato and Daniele Tarchi and Manuel Roveri",
year = "2020",
month = jul,
day = "1",
doi = "10.1016/j.comcom.2020.06.032",
language = "English",
volume = "160",
pages = "577--587",
journal = "Computer Communications",
issn = "0140-3664",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - An Energy Harvesting Solution for Computation Offloading in Fog Computing Networks

AU - Bozorgchenani, Arash

AU - Disabato, Simone

AU - Tarchi, Daniele

AU - Roveri, Manuel

PY - 2020/7/1

Y1 - 2020/7/1

N2 - Fog Computing is a promising networking paradigm enabling the nodes at the edge to share computational and storage resources. Being pervasively distributed, Fog Nodes are often battery powered and, for this reason, an efficient energy management should be considered to prolong network lifetime. In this paper, we introduce a smart energy management solution able to exploit information about the predicted harvested and consumed energy by Fog Nodes, equipped with small solar panels. The smart energy management is applied on a cluster based Fog Computing environment where computation offloading operations are performed. In the experimental section the effect of the smart energy management is explored in terms of network lifetime by considering variable battery size and Fog Nodes density in a realistic solar-panel harvesting-model and Fog Nodes setting.

AB - Fog Computing is a promising networking paradigm enabling the nodes at the edge to share computational and storage resources. Being pervasively distributed, Fog Nodes are often battery powered and, for this reason, an efficient energy management should be considered to prolong network lifetime. In this paper, we introduce a smart energy management solution able to exploit information about the predicted harvested and consumed energy by Fog Nodes, equipped with small solar panels. The smart energy management is applied on a cluster based Fog Computing environment where computation offloading operations are performed. In the experimental section the effect of the smart energy management is explored in terms of network lifetime by considering variable battery size and Fog Nodes density in a realistic solar-panel harvesting-model and Fog Nodes setting.

KW - Fog Computing

KW - Energy harvesting

KW - Computation offloading

KW - Clustering

KW - Internet of Things

U2 - 10.1016/j.comcom.2020.06.032

DO - 10.1016/j.comcom.2020.06.032

M3 - Journal article

VL - 160

SP - 577

EP - 587

JO - Computer Communications

JF - Computer Communications

SN - 0140-3664

ER -