A programmable-network experimentation framework that uses machine learning to predict multimedia Quality of Experience.
Publication details
| Authors | Ahmed Osama Basil Al-Mashhadani, Mu Mu and Ali Al-Sharbaz |
|---|---|
| Type | Peer-reviewed journal article |
| Published in | Network, volume 2, issue 4, pages 500–518 |
| Reference | DOI: 10.3390/network2040030 |
About this work
This article studies adaptive streaming in a software-defined network environment and connects network measurements with perceived Quality of Experience. It develops a machine-learning prediction model from subjective experiments, with the aim of making future QoE evaluation more scalable and less dependent on repeated physical trials.
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