Codec-Aware Video Delivery over SDNs

Obinna Izima, Ruairi De Frein, Ali Malik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

To guarantee quality of delivery for video streaming over software defined networks, efficient predictors and adaptive routing frameworks are required. We demonstrate an agent that predicts video quality of delivery metrics in a scalable way using a bespoke codec-aware learning model. We also demonstrate the integration of this agent with an adaptive framework for centrally controlled software-defined networks that re-configures network operational paths in response to the learning agent, ensuring that good quality of delivery of video is maintained during periods of congestion. The demo scenario highlights the feasibility, scalability and accuracy of the framework.

Original languageEnglish
Title of host publicationProceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management
EditorsToufik Ahmed, Olivier Festor, Yacine Ghamri-Doudane, Joon-Myung Kang, Alberto E. Schaeffer-Filho, Abdelkader Lahmadi, Edmundo Madeira
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages732-733
Number of pages2
ISBN (Electronic)9783903176324
DOIs
Publication statusPublished - 17 May 2021
Event17th IFIP/IEEE International Symposium on Integrated Network Management, IM 2021 - Virtual, Bordeaux, France
Duration: 17 May 202121 May 2021

Publication series

NameProceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management

Conference

Conference17th IFIP/IEEE International Symposium on Integrated Network Management, IM 2021
Country/TerritoryFrance
CityVirtual, Bordeaux
Period17/05/2121/05/21

Keywords

  • SDN
  • codec
  • monitoring
  • quality of delivery

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