Novel Quality of Experience Experimentation Framework Through Programmable Network Management

Basil, Ahmed Osama, Mu, Mu and Al-Sherbaz, Ali ORCID: 0000-0002-0995-1262 (2022) Novel Quality of Experience Experimentation Framework Through Programmable Network Management. In: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC). IEEE Xplore, pp. 485-486. ISBN 9781665431620

Text (Peer Reviewed Version) 10771 Al-Sherbaz et al (2021) Novel_Quality_of_Experience_Experimentation_Framework_Through_Programmable_Network_Management.pdf - Accepted Version Restricted to Repository staff only Available under License All Rights Reserved. Download (114kB)

Abstract

The demand for online distribution of high quality and high throughput content has led to non-cooperative competition of network resources between a growing number of media applications. This causes a significant impact on network efficiency, the quality of user experience (QoE), its technical measurements as well as a discrepancy of QoE across user devices. Within a multi-user multi-device environment, automating the measuring and maintenance of perceivable user feedback becomes as critical as achieving the QoE on individual user applications. This paper discusses network- and user-level QoE measurements and prediction over networked multimedia applications and how such techniques can be managed through novel framework designs using programmable networks such as software-defined networks (SDN).

Item Type:	Book Section
Uncontrolled Keywords:	Fairness; Quality of experience; Human Factor; Software Defined Networking; Multimedia; DASH; Classification Prediction
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Kate Greenaway
Date Deposited:	03 Mar 2022 12:11
Last Modified:	31 Oct 2023 12:05
URI:	https://eprints.glos.ac.uk/id/eprint/10771

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