Using software defined networking to enhance the delivery of video-on-demand
- Submitting institution
-
The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 153675278
- Type
- D - Journal article
- DOI
-
10.1016/j.comcom.2015.06.015
- Title of journal
- Computer Communications
- Article number
- -
- First page
- 79
- Volume
- 69
- Issue
- -
- ISSN
- 0140-3664
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2015
- 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
-
4
- Research group(s)
-
F - Networking
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Nominated for the best paper award at ICCN 2014 , this paper represents the culmination of many years of prior work on OpenCache; a novel technology prototype. Working closely with partners at ETH Zurich in Switzerland, deployments were made on large-scale European testbeds, in this case GÉANT’s OpenFlow Facility (GOFF). Through this work, we were able to demonstrate the efficacy of OpenCache , leading to further academic and industrial interest in the work, e.g. HP (Aruba), and planned commercialisation by Time Critical Networks. We also secured follow-on funding from the FED4FIRE consortium.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
