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A Machine Learning Resource Allocation Solution to Improve Video Quality in Remote Education

Comsa, Ioan-Sorin, Molnar, Andreea Maria, Tal, Irina, Bergamin, Per, Muntean, Gabriel-Miro, Muntean, Cristina Hava and Trestian, Ramona (2021) A Machine Learning Resource Allocation Solution to Improve Video Quality in Remote Education. IEEE Transactions on Broadcasting, 67 (3). pp. 664-684. ISSN 1557-9611

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Official URL: https://doi.org/10.1109/TBC.2021.3068872

Abstract

The current global pandemic crisis has unquestionably disrupted the higher education sector, forcing educational institutions to rapidly embrace technology-enhanced learning. However, the COVID-19 containment measures that forced people to work or stay at home, have determined a significant increase in the Internet traffic that puts tremendous pressure on the underlying network infrastructure. This affects negatively content delivery and consequently user perceived quality, especially for video-based services. Focusing on this problem, this paper proposes a machine learning-based resource allocation solution that improves the quality of video services for increased number of viewers. The solution is deployed and tested in an educational context, demonstrating its benefit in terms of major quality of service parameters for various video content, in comparison with existing state of the art. Moreover, a discussion on how the technology is helping to mitigate the effects of massively increasing Internet traffic on the video quality in an educational context is also presented.

Item Type: Article
Uncontrolled Keywords: Video quality; machine learning; resource allocation; quality of service; technology enhanced learning
Subjects: L Education > L Education (General)
Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
L Education > LC Special aspects / Types of education > E-Learning
Divisions: School of Computing > Staff Research and Publications
Depositing User: Clara Chan
Date Deposited: 09 Sep 2021 11:06
Last Modified: 09 Sep 2021 11:06
URI: https://norma.ncirl.ie/id/eprint/5020

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