Congestion-Aware Scalable Video Streaming

Nuruddeen Mohammed Iya; Fabio Verdicchio; Gorry Fairhurst

doi:10.1109/ICNP.2013.6733660

Congestion-Aware Scalable Video Streaming

Nuruddeen Mohammed Iya, Fabio Verdicchio, Gorry Fairhurst

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

1 Citation (Scopus)

234 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 language	English
Title of host publication	2013 21st IEEE International Conference on Network Protocols (ICNP)
Publisher	IEEE Explore
Number of pages	6
ISBN (Electronic)	978-1-4799-1270-4
DOIs	https://doi.org/10.1109/ICNP.2013.6733660
Publication status	Published - 10 Feb 2014
Event	Capacity Sharing Workshop - Goetingen, Germany Duration: 7 Oct 2013 → 8 Oct 2013

Publication series

Name	IEEE International Conference on Network Protocols
Publisher	IEEE
ISSN (Print)	1092-1648

Conference

Conference	Capacity Sharing Workshop
Country/Territory	Germany
City	Goetingen
Period	7/10/13 → 8/10/13

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

Access to Document

10.1109/ICNP.2013.6733660Licence: Unspecified

NL-SVCAccepted author manuscript, 280 KB

Cite this

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title = "Congestion-Aware Scalable Video Streaming",

abstract = "Real-time media applications often ignore ongoingcongestion if there is no option to reduce the rate. Theseapplications pose a threat to themselves and other traffic.Reducing the transmission rate requires reducing the amount ofpackets rather than spreading the transmission over a longerinterval. Loss-based congestion control mechanisms areunsuitable for this requirement. Also this rate reduction withpopular video codecs, e.g. MPEG4, is often problematic. Thispaper investigates the problems associated with real-time videotransmission over the Internet. We investigate a rate controlmethod minimizing delay and losses and report preliminary butpromising results.",

keywords = "Streaming media, Delays, Receivers, Loss measurement, Visualisation, Switches, Media",

author = "Iya, {Nuruddeen Mohammed} and Fabio Verdicchio and Gorry Fairhurst",

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). ; Capacity Sharing Workshop ; Conference date: 07-10-2013 Through 08-10-2013",

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doi = "10.1109/ICNP.2013.6733660",

language = "English",

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T1 - Congestion-Aware Scalable Video Streaming

AU - Iya, Nuruddeen Mohammed

AU - Verdicchio, Fabio

AU - Fairhurst, Gorry

N1 - 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).

PY - 2014/2/10

Y1 - 2014/2/10

N2 - Real-time media applications often ignore ongoingcongestion if there is no option to reduce the rate. Theseapplications pose a threat to themselves and other traffic.Reducing the transmission rate requires reducing the amount ofpackets rather than spreading the transmission over a longerinterval. Loss-based congestion control mechanisms areunsuitable for this requirement. Also this rate reduction withpopular video codecs, e.g. MPEG4, is often problematic. Thispaper investigates the problems associated with real-time videotransmission over the Internet. We investigate a rate controlmethod minimizing delay and losses and report preliminary butpromising results.

AB - Real-time media applications often ignore ongoingcongestion if there is no option to reduce the rate. Theseapplications pose a threat to themselves and other traffic.Reducing the transmission rate requires reducing the amount ofpackets rather than spreading the transmission over a longerinterval. Loss-based congestion control mechanisms areunsuitable for this requirement. Also this rate reduction withpopular video codecs, e.g. MPEG4, is often problematic. Thispaper investigates the problems associated with real-time videotransmission over the Internet. We investigate a rate controlmethod minimizing delay and losses and report preliminary butpromising results.

KW - Streaming media

KW - Delays

KW - Receivers

KW - Loss measurement

KW - Visualisation

KW - Switches

KW - Media

U2 - 10.1109/ICNP.2013.6733660

DO - 10.1109/ICNP.2013.6733660

M3 - Published conference contribution

T3 - IEEE International Conference on Network Protocols

BT - 2013 21st IEEE International Conference on Network Protocols (ICNP)

PB - IEEE Explore

T2 - Capacity Sharing Workshop

Y2 - 7 October 2013 through 8 October 2013

ER -

Congestion-Aware Scalable Video Streaming

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this