Congestion-Aware Scalable Video Streaming

Nuruddeen Mohammed Iya, Fabio Verdicchio, Gorry Fairhurst

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

1 Citation (Scopus)
229 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 publicationIEEE CSWS 2013
Number of pages6
Publication statusPublished - 7 Oct 2013
EventCapacity Sharing Workshop - Goetingen, Germany
Duration: 7 Oct 20138 Oct 2013

Conference

ConferenceCapacity Sharing Workshop
CountryGermany
CityGoetingen
Period7/10/138/10/13

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Video streaming
Internet

Cite this

Congestion-Aware Scalable Video Streaming. / Iya, Nuruddeen Mohammed; Verdicchio, Fabio; Fairhurst, Gorry.

IEEE CSWS 2013. 2013.

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

Iya, NM, Verdicchio, F & Fairhurst, G 2013, Congestion-Aware Scalable Video Streaming. in IEEE CSWS 2013. Capacity Sharing Workshop, Goetingen, Germany, 7/10/13.
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