Bozorgchenani, A. orcid.org/0000-0003-1360-6952, Tarchi, D. and Corazza, G.E. (2018) An Energy and Delay-Efficient Partial Offloading Technique for Fog Computing Architectures. In: Proceedings of GLOBECOM 2017 - 2017 IEEE Global Communications Conference. 2017 IEEE Global Communications Conference (GLOBECOM 2017), 04-08 Dec 2017, Singapore. IEEE ISBN 9781509050192
Abstract
Fog computing is a fascinating paradigm which has drawn attention recently by bringing the cloud capabilities closer to the users. A fog computing infrastructure can be seen as composed by two layers: One including Fog Nodes (FNs) and another the Fog Access Points (F-APs). While FNs are usually battery operated, the F-APs are instead connected to the electrical networks having unlimited energy. Moreover, F-APs facilitate the computation of tasks due to their higher storage and computational capabilities compared to the FNs. Considering FN energy consumption and task processing delay, we propose a suboptimal partial offloading technique aiming at exploiting jointly both FNs and F-APs. The simulation results demonstrate how partial offloading has a profound impact on the network lifetime and reduces energy consumption and task processing delay by comparing the single and two layer architectures.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | Delays, Energy consumption, Edge computing, Cloud computing, Computer architecture, Mobile communication |
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: | 11 Dec 2023 16:22 |
Last Modified: | 11 Dec 2023 16:22 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/glocom.2017.8254703 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:201539 |