Evaluation of Network Performance Based on Structured Geometric Topologies

Rao, H., Ponciano, J. P., Imran, M. A. and Taha, A. (2024) Evaluation of Network Performance Based on Structured Geometric Topologies. In: 2023 IEEE 17th International Conference on Control & Automation (ICCA), Cairo, Egypt, 28- 30 November 2023, ISBN 9798350303254 (doi: 10.1109/ICCA59364.2023.10401837)

Abstract

At present, the research on computer network topologies rests mainly on typically unstructured networks such as mesh networks. Our study evaluates the potential use of three structured geometric network infrastructure designs, namely cross polytope (CP), hypercube (HC) and triangular pyramid (TP), based on their network performance. In this paper, we use simulation modelling to analyse structured network geometries and evaluate their network performance by Riverbed Modeler. We compare the simulation results of an unstructured network design with three structured network topologies for both time-independent and time-dependent applications. The simulation results illustrate that the CP and TP topologies have better results than the unstructured network in response time and network delay under a high-load configuration. In addition, it can be shown that the planarised CP structure exhibits superior performance compared to the other three network designs examined. For instance, the end-to-end delay of Voice displays a value of approximately 0.15 seconds during periods of high load. The evaluation conducted in this paper holds vital importance for the configuration of topological networks in the context of constructing network infrastructure.

• Item Type: Conference Proceedings
• Keywords: Network performance modelling, structured geometric topology, network resilience, network configuration.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Rao, Haotian and Taha, Dr Ahmad and Imran, Professor Muhammad and Ponciano, Professor Joao
• Authors: Rao, H., Ponciano, J. P., Imran, M. A., and Taha, A.
• College/School: College of Science and Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Systems Power and Energy
• ISBN: 9798350303254
• Copyright Holders: Copyright © 2023, IEEE
• First Published: First published in 2023 International Conference on Computer and Applications (ICCA)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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