Congestion-Aware Scalable Video Streaming

Nuruddeen Mohammed Iya, Fabio Verdicchio, Gorry Fairhurst

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

1 Citation (Scopus)
235 Downloads (Pure)

Abstract

Real-time media applications often ignore ongoing
congestion if there is no option to reduce the rate. These
applications pose a threat to themselves and other traffic.
Reducing the transmission rate requires reducing the amount of
packets rather than spreading the transmission over a longer
interval. Loss-based congestion control mechanisms are
unsuitable for this requirement. Also this rate reduction with
popular video codecs, e.g. MPEG4, is often problematic. This
paper investigates the problems associated with real-time video
transmission over the Internet. We investigate a rate control
method minimizing delay and losses and report preliminary but
promising results.
Original languageEnglish
Title of host publication2013 21st IEEE International Conference on Network Protocols (ICNP)
PublisherIEEE Explore
Number of pages6
ISBN (Electronic)978-1-4799-1270-4
DOIs
Publication statusPublished - 10 Feb 2014
EventCapacity Sharing Workshop - Goetingen, Germany
Duration: 7 Oct 20138 Oct 2013

Publication series

NameIEEE International Conference on Network Protocols
PublisherIEEE
ISSN (Print)1092-1648

Conference

ConferenceCapacity Sharing Workshop
Country/TerritoryGermany
CityGoetingen
Period7/10/138/10/13

Bibliographical note

This research was partially funded by the European Community under its Seventh Framework Programme through the Reducing Internet Transport Latency (RITE) project (ICT317700). The views expressed are solely those of the author(s).

Keywords

  • Streaming media
  • Delays
  • Receivers
  • Loss measurement
  • Visualisation
  • Switches
  • Media

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