A scalable user fairness model for adaptive video streaming over SDN-assisted future networks
- Submitting institution
-
The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 153675231
- Type
- D - Journal article
- DOI
-
10.1109/JSAC.2016.2577318
- Title of journal
- IEEE Journal on Selected Areas in Communications
- Article number
- -
- First page
- 2168
- Volume
- 34
- Issue
- 8
- ISSN
- 0733-8716
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
-
F - Networking
- Citation count
- 28
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This well-cited paper brings together two distinct areas of research to create a novel solution to a challenge prevalent in today’s multimedia-intensive computer networks by combining Quality-of-Experience frameworks and algorithms with flexible network provision and resource reservation. Driven by extensive and rigorous evaluation, this work was published in the IEEE Journal on Selected Areas in Communications, the top IEEE journal on the topic. The contributions of this work form the basis of a series of subsequent research publications, guiding future work in this area and also contributing to a BT sponsored EPSRC CASE studentship.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
