Basil, Ahmed Osama, Mu, Mu and Al-Sherbaz, Ali ORCID: https://orcid.org/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: | 10 Oct 2025 18:30 | 
| URI: | https://eprints.glos.ac.uk/id/eprint/10771 | 
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