Hu, B. orcid.org/0000-0003-4821-0448, Du, J. and Chu, X. (2022) Enabling low-latency applications in vehicular networks based on mixed fog/cloud computing systems. In: 2022 IEEE Wireless Communications and Networking Conference (WCNC). IEEE Wireless Communications and Networking Conference (WCNC), 10-13 Apr 2022, Austin, TX, USA. Institute of Electrical and Electronics Engineers , pp. 722-727. ISBN 9781665442671
Abstract
In order to support delay-sensitive applications of vehicle equipment (V-UE) in the Internet-of-Vehicles (IoV) systems, it is necessary to allow V-UEs to offload their computationally intensive applications to a cloud or fog computing server. Existing works mainly focused on minimising the transmission and processing delays while ignoring the mobility of V-UEs and/or the queueing delays at the cloud or fog servers. In this paper, we consider a vehicular network supported by a mixed fog and cloud computing system, where the queues at the fog node (FN) and the cloud centre are modelled following the M/M/1 and M/M/C queueing models, respectively. To minimise the maximum service delay (which includes the transmission delay, queueing delay and processing delay) among the V-UEs, we propose to jointly optimise the offloading decisions of all V-UEs and the computation resource allocation at the FN while considering the V-UEs’ mobility and queueing delays at the FN and cloud centre. This is achieved by devising a fireworks algorithm-based offloading decision optimisation algorithm in conjunction with a bisection method-based FN computation resource allocation scheme. Simulation results demonstrate that our proposed algorithm achieves a much lower maximum service delay than the benchmarks.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Vehicular networks; computation offloading; fireworks algorithm; cloud/fog computing; queueing delay |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number European Commission - HORIZON 2020 734798 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 18 May 2022 08:28 |
Last Modified: | 16 May 2023 00:13 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/wcnc51071.2022.9771889 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:186980 |