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An autonomic delivery framework for HTTP adaptive streaming in multicast-enabled multimedia access networks

Niels Bouten UGent, Steven Latré UGent, Wim Van de Meerssche UGent, Koen De Schepper, Bart De Vleeschauwer, Werner Van Leekwijck and Filip De Turck UGent (2012) IEEE IFIP Network Operations and Management Symposium. p.1248-1253
abstract
The consumption of multimedia services over HTTP-based delivery mechanisms has recently gained popularity due to their increased flexibility and reliability. Traditional broadcast TV channels are now offered over the Internet, in order to support Live TV for a broad range of consumer devices. Moreover, service providers can greatly benefit from offering external live content (e. g., YouTube, Hulu) in a managed way. Recently, HTTP Adaptive Streaming (HAS) techniques have been proposed in which video clients dynamically adapt their requested video quality level based on the current network and device state. Unlike linear TV, traditional HTTP- and HAS-based video streaming services depend on unicast sessions, leading to a network traffic load proportional to the number of multimedia consumers. In this paper we propose a novel HAS-based video delivery architecture, which features intelligent multicasting and caching in order to decrease the required bandwidth considerably in a Live TV scenario. Furthermore we discuss the autonomic selection of multicasted content to support Video on Demand (VoD) sessions. Experiments were conducted on a large scale and realistic emulation environment and compared with a traditional HAS-based media delivery setup using only unicast connections.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
IBCN
in
IEEE IFIP Network Operations and Management Symposium
editor
Filip De Turck UGent, Luciano Paschoal Gaspary and Deep Medhi
issue title
2012 IEEE NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (NOMS)
pages
1248 - 1253
publisher
IEEE
place of publication
New York, NY, USA
conference name
13th IEEE/IFIP Network Operations and Management Symposium
conference location
Maui, Hawaii
conference start
2012-04-16
conference end
2012-04-20
Web of Science type
Proceedings Paper
Web of Science id
000309517000183
ISSN
1542-1201
ISBN
9781467302685
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2915576
handle
http://hdl.handle.net/1854/LU-2915576
date created
2012-06-22 11:13:16
date last changed
2013-06-04 15:57:20
@inproceedings{2915576,
  abstract     = {The consumption of multimedia services over HTTP-based delivery mechanisms has recently gained popularity due to their increased flexibility and reliability. Traditional broadcast TV channels are now offered over the Internet, in order to support Live TV for a broad range of consumer devices. Moreover, service providers can greatly benefit from offering external live content (e. g., YouTube, Hulu) in a managed way. Recently, HTTP Adaptive Streaming (HAS) techniques have been proposed in which video clients dynamically adapt their requested video quality level based on the current network and device state. Unlike linear TV, traditional HTTP- and HAS-based video streaming services depend on unicast sessions, leading to a network traffic load proportional to the number of multimedia consumers. In this paper we propose a novel HAS-based video delivery architecture, which features intelligent multicasting and caching in order to decrease the required bandwidth considerably in a Live TV scenario. Furthermore we discuss the autonomic selection of multicasted content to support Video on Demand (VoD) sessions. Experiments were conducted on a large scale and realistic emulation environment and compared with a traditional HAS-based media delivery setup using only unicast connections.},
  author       = {Bouten, Niels and Latr{\'e}, Steven and Van de Meerssche, Wim and De Schepper, Koen and De Vleeschauwer, Bart and Van Leekwijck, Werner and De Turck, Filip},
  booktitle    = {IEEE IFIP Network Operations and Management Symposium},
  editor       = {De Turck, Filip and Paschoal Gaspary, Luciano and Medhi, Deep},
  isbn         = {9781467302685},
  issn         = {1542-1201},
  keyword      = {IBCN},
  language     = {eng},
  location     = {Maui, Hawaii},
  pages        = {1248--1253},
  publisher    = {IEEE},
  title        = {An autonomic delivery framework for HTTP adaptive streaming in multicast-enabled multimedia access networks},
  year         = {2012},
}

Chicago
Bouten, Niels, Steven Latré, Wim Van de Meerssche, Koen De Schepper, Bart De Vleeschauwer, Werner Van Leekwijck, and Filip De Turck. 2012. “An Autonomic Delivery Framework for HTTP Adaptive Streaming in Multicast-enabled Multimedia Access Networks.” In IEEE IFIP Network Operations and Management Symposium, ed. Filip De Turck, Luciano Paschoal Gaspary, and Deep Medhi, 1248–1253. New York, NY, USA: IEEE.
APA
Bouten, N., Latré, S., Van de Meerssche, W., De Schepper, K., De Vleeschauwer, B., Van Leekwijck, W., & De Turck, F. (2012). An autonomic delivery framework for HTTP adaptive streaming in multicast-enabled multimedia access networks. In Filip De Turck, L. Paschoal Gaspary, & D. Medhi (Eds.), IEEE IFIP Network Operations and Management Symposium (pp. 1248–1253). Presented at the 13th IEEE/IFIP Network Operations and Management Symposium, New York, NY, USA: IEEE.
Vancouver
1.
Bouten N, Latré S, Van de Meerssche W, De Schepper K, De Vleeschauwer B, Van Leekwijck W, et al. An autonomic delivery framework for HTTP adaptive streaming in multicast-enabled multimedia access networks. In: De Turck F, Paschoal Gaspary L, Medhi D, editors. IEEE IFIP Network Operations and Management Symposium. New York, NY, USA: IEEE; 2012. p. 1248–53.
MLA
Bouten, Niels, Steven Latré, Wim Van de Meerssche, et al. “An Autonomic Delivery Framework for HTTP Adaptive Streaming in Multicast-enabled Multimedia Access Networks.” IEEE IFIP Network Operations and Management Symposium. Ed. Filip De Turck, Luciano Paschoal Gaspary, & Deep Medhi. New York, NY, USA: IEEE, 2012. 1248–1253. Print.