Development on quality of service and network resilience based on structured geometric topologies

Rao, Haotian (2026) Development on quality of service and network resilience based on structured geometric topologies. PhD thesis, University of Glasgow.

Abstract

The topology of a computer network is the basis for building a high-capacity, low-congestion network infrastructure. At present, the research on computer network topologies rests mainly on typically unstructured networks such as mesh networks. Network infrastructures do not widely employ structured geometric network topologies. Compared to a structured geometric topology, they possess numerous advantageous characteristics, such as connectedness, which are currently not being utilised in the construction of the network structure. Simultaneously, by suggesting additional network topologies, we can select an appropriate network configuration that enhances the availability and robustness of networking infrastructures.

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. Furthermore, we evaluate the performance of structured geometric network infrastructure designs under three QoS disciplines, namely weighted fair queuing (WFQ), priority queuing (PQ) and modified weighted round robin (MWRR). In this paper, we simulate structured geometric and unstructured network structures using Riverbed Modeler 18.9 to evaluate network performance. The simulation results illustrate that the structured geometric network topologies have better results than the unstructured network in response time and network delay under a high-load configuration, and the QoS algorithm provides advantages for voice services by prioritising the transmission of vital services.

• Item Type: Thesis (PhD)
• Qualification Level: Doctoral
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science; T Technology > T Technology (General); T Technology > TK Electrical engineering. Electronics Nuclear engineering
• Colleges/Schools: College of Science and Engineering > School of Engineering
• Supervisor's Name: Ponciano, Professor Joao and Imran, Professor Muhammad
• Date of Award: 2026
• Depositing User: Theses Team
• Unique ID: glathesis:2026-86112
• Copyright: Copyright of this thesis is held by the author.
• Date Deposited: 14 Jul 2026 14:23
• Last Modified: 14 Jul 2026 15:08
• Thesis DOI: 10.5525/gla.thesis.86112
• URI: https://theses.gla.ac.uk/id/eprint/86112

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