Computer network quality of experience enriched analysis using fuzzy logic model

Abstract

Two important Quality of Experience (QoE) parameters in computer networks service-related performance metrics are throughput and end-to-end delay. A slow delay indicates high network efficiency thus high throughput. Similarly, the entire four parameters linked to the integrity of service (Delay, Jitter, Packet Loss, and Throughput) are deliberated to be primary factors affecting almost all computer networks. The study's objective is to identify the vital primary parameters with preeminent results to be kept into consideration when analyzing Network QoE by using a fuzzy logic methodology. The tools used in the study were Linux MTR (my trace-route) tool for data extraction, Ms. Excel for data cleaning and presentation, MATLAB(matrix laboratory) software for plotting of functions/data, and creation of interfaces. A Fuzzy logic methodology was implemented using an experimental research design. The analysis of results using independent sample T-Test technique compared four primary parameters affecting any network to the two important QoE parameters. The results specified a significant consequence using the entire four Integrity of service parameters model compared to using a combination of two parameters model for consideration of network QoE whereby the p-value obtained was 0.017 which is less than 0.05. The target population for this model is the service providers enabling them to have the finest approachable measures to deal with network service providers to achieve QoS (Quality of service) in line with Service Level Agreement (SLAs) thus achieving finest network QoE.