Implementation of network function virtualisation (nfv) resource Management for low network latency · Electronic Theses and Dissertations

Author: Linner Kanganga
Title: Implementation of network function virtualisation (nfv) resource
Management for low network latency
Abstract: ABSTRACT
The evolution of network technologies demands more flexible, efficient, and scalable solutions. Network Function Virtualisation (NFV) addresses this need by hardware-based network functions, allowing them to function as software on standard computing infrastructure. As this study focuses on NFV resource management strategies to minimize network latency, a crucial performance metric. It develops a comprehensive NFV resource management framework, incorporating dynamic resource allocation, load balancing, and real-time optimization. Key contributions include machine learning models for predictive resource provisioning, and a scalable monitoring system for real-time performance metrics. Simulations and real-world testing show that our proposed solutions can reduce network latency compared to traditional methods. These findings demonstrate the potential of advanced NFV resource management strategies to improve network performance and efficiency, leading to more responsive and resilient infrastructures. This work provides practical insights and tools for network engineers and operators aiming to optimize their systems for low-latency performance, paving the way for agile, high-performing network environments that meet the demands of modern applications.
Date: JUNE 2024
Publisher: BUSE
Keywords: evolution of network technologies, Network Function Virtualisation (NFV), machine learning models for predictive resource provisioning
Supervisor: Mr Hove

Item sets: Department of Computer Science

Media: Linner Kanganga