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Lookup NU author(s): Dr Nigel ThomasORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Performance analysis of smart edge computing orchestration algorithms should be done usinga realistic urban simulation environment wherein mobile users are accessing their edgeservices using a readily available 5G network. In this paper, we investigate the influence ofusing two different 5G simulation frameworks, which are provided as readily availablepossibilities to model the access network used to deliver edge computing services. The resultsshow that although both frameworks aim to implement the 5G specifications and are deemedsuitable choices for simulating a 5G smart city vehicular environment, there can besignificant differences in the obtained macro results. The analysis of the simulation resultsfrom two identical studies where the only change is the choice of a 5G simulation framework,shows that the obtained average end-to-end edge service latency as perceived by edge userscan differ up to more than 21 times. The choice of 5G simulation framework is also reflectedin the overall generated workload for the edge computing orchestration leading to over 25%more migrations when using 5G-Sim-V2I/N compared to Simu5G.
Author(s): Bernad C, Gilly K, Filiposka S, Thomas N, Roig PJ, Alcaraz S
Publication type: Article
Publication status: Published
Journal: Modelling and Simulation in Engineering
Year: 2025
Pages: epub ahead of print
Online publication date: 29/04/2025
Acceptance date: 17/03/2025
Date deposited: 17/03/2025
ISSN (print): 1687-5591
ISSN (electronic): 1687-5605
Publisher: Hindawi Limited
URL: https://doi.org/10.1155/mse/7283539
DOI: 10.1155/mse/7283539
Data Access Statement: The data that support the ?ndings of this study are available from the corresponding author upon reasonable request.
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