Bozorgchenani, A. orcid.org/0000-0003-1360-6952, Disabato, S., Tarchi, D. et al. (1 more author) (2020) An energy harvesting solution for computation offloading in Fog Computing networks. Computer Communications, 160. pp. 577-587. ISSN 0140-3664
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Elsevier B.V. All rights reserved. This is an author produced version of an article, published in Computer Communications. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Fog Computing; Energy harvesting; Computation offloading; Clustering; Internet of Things |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 28 Nov 2023 13:07 |
Last Modified: | 28 Nov 2023 17:46 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.comcom.2020.06.032 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:201532 |
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Filename: AnEnergyHarvestingSolutionForComputationOffloadinginFogComputingNetworks.pdf
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