Exploiting network awareness to enhance DASH over wireless

Francesco Bronzino, Dragoslav Stojadinovic, Cedric Westphal, Dipankar Raychaudhuri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

The introduction of Dynamic Adaptive Streaming over HTTP (DASH) helped reduce the consumption of resources in video delivery, but its client-based rate adaptation is unable to optimally use the available end-to-end network bandwidth. We consider the problem of optimizing the delivery of video content to mobile clients while meeting the constraints imposed by the available network resources. Observing the bandwidth available in the network's two main components, core network, transferring the video from the servers to edge nodes close to the client, and the edge network, which is in charge of transferring the content to the user via wireless links, we aim to find an optimal solution by exploiting the predictability of future user requests of sequential video segments, as well as the knowledge of available infrastructural resources at the core and edge wireless networks in a given future time window. Instead of regarding the bottleneck of the end-to-end connection as our throughput, we distribute the traffic load over time and use intermediate nodes between the server and the client for buffering video content to achieve higher throughput, and ultimately significantly improve the Quality of Experience for the end user in comparison with current solutions.

Original languageEnglish (US)
Title of host publication2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1092-1100
Number of pages9
ISBN (Electronic)9781467392921
DOIs
StatePublished - Mar 30 2016
Event13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016 - Las Vegas, United States
Duration: Jan 6 2016Jan 13 2016

Publication series

Name2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016

Other

Other13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
Country/TerritoryUnited States
CityLas Vegas
Period1/6/161/13/16

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications
  • Hardware and Architecture

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