Enhancing QoE in Cloud Gaming: A Comprehensive Study on 5G Networks Integrating Serverless Computing and Machine Learning

Kumbhar, Shubham Shrimant (2024) Enhancing QoE in Cloud Gaming: A Comprehensive Study on 5G Networks Integrating Serverless Computing and Machine Learning. Masters thesis, Dublin, National College of Ireland.

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Abstract

This study explores into the effect of system performance metrics and network conditions on Quality of Experience (QoE) in cloud gaming especially focusing Xbox Cloud Gaming. This paper uses a number of machine learning models namely Random Forests, Support Vector Regression (SVR), XGBoost and Neural Networks to predict network latency which is an important factor that affects the QoE. We perform three case studies: game metrics (CPU, GPU, memory usage), network performance measurements (RTT, jitter and throughput) and combined to test the accuracy of the model under different scenarios. As for network latency prediction, XGBoost was the best-performing model in stable Wi-Fi environments though competitive results using SVR were obtained after fine-tuning of hyperparameters. Nevertheless, all the models struggled to predict well over the more dynamic 4G Mobile Hotspot network and so additional work is needed both in terms of complex environments as well QoS protocols which adapt either by tuning parameters or through elliptical operator identification processes. This study finally suggests future work targeting on more data volume increasing, online refine the real-time content input and deployment edge computing mechanism at different regions for various conditions of network underlining may help to improve cloud gaming QoE inside.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Gupta, Shaguna UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning G Geography. Anthropology. Recreation > GV Recreation Leisure > Games and Amusements > Online Games
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	03 Jul 2025 13:26
Last Modified:	03 Jul 2025 13:26
URI:	https://norma.ncirl.ie/id/eprint/8031

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