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A machine learning resource allocation solution to improve video quality in remote education

Comşa, Ioan-Sorin ORCID: 0000-0002-9121-0286, Molnar, Andreea, Tal, Irina, Bergamin, Per ORCID: 0000-0002-2551-9058, Muntean, Gabriel-Miro ORCID: 0000-0002-9332-4770, Muntean, Cristina Hava ORCID: 0000-0001-5082-9253 and Trestian, Ramona ORCID: 0000-0003-3315-3081 (2021) A machine learning resource allocation solution to improve video quality in remote education. IEEE Transactions on Broadcasting . pp. 1-21. ISSN 0018-9316

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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 (Published)
Refereed:Yes
Uncontrolled Keywords:Video quality; machine learning; resource allocation; quality of service; technology enhanced learning
Subjects:Social Sciences > Distance education
Social Sciences > Educational technology
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > Lero: The Irish Software Engineering Research Centre
Publisher:IEEE
Official URL:https://dx.doi.org/10.1109/TBC.2021.3068872
Copyright Information:© 2021 IEEE.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:25813
Deposited On:14 May 2021 10:36 by Vidatum Academic . Last Modified 27 Apr 2022 10:19

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