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

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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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