2026-06-06T02:14:40Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/268502026-02-03T11:01:58Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Baena, Carlos
author
Peñaherrera-Pulla, Oswaldo Sebastián
author
Barco-Moreno, Raquel
author
Fortes-Rodríguez, Sergio
2023-06-07T10:43:11Z
2023-06-07T10:43:11Z
2023
Baena, C., Peñaherrera-Pulla, O. S., Barco, R., & Fortes, S. (2022). Measuring and estimating Key Quality Indicators in Cloud Gaming services. Computer Networks (Amsterdam, Netherlands : 1999), 231, 109808–. https://doi.org/10.1016/j.comnet.2023.109808
https://hdl.handle.net/10630/26850
https://doi.org/10.1016/j.comnet.2023.109808
The gaming industry has proposed the concept of Cloud Gaming (CG), a paradigm that enhances the gaming experience on reduced hardware devices. However, this paradigm puts a lot of pressure on the communication links that connect the user to the cloud. As a result, the service experience becomes highly dependent on network connectivity.
In this context, the present work proposes a framework for measuring and estimating the most important E2E (end-to-end) metrics of the CG service, namely Key Quality Indicators (KQIs). Therefore, different machine learning (ML) techniques are evaluated to predict KQIs related to the CG user experience. For this purpose, the most important KQIs of the service, such as input lag, freezes or perceived video frame rate, are collected in a real network deployment. The results show that ML techniques can be used to estimate these indicators solely from network-related metrics. This is seen as a valuable asset for the delivery of CG services over cellular networks, even without access to the user’s device, as it is expected for telecom operators.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Videojuegos
Servidores web
Measuring and estimating Key Quality Indicators in Cloud Gaming services
journal article
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URL
https://riuma.uma.es/bitstreams/acea1987-6440-486d-bf43-1a3f84d5b5c6/download
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