Title
An autonomic delivery framework for HTTP adaptive streaming in multicast-enabled multimedia access networks An autonomic delivery framework for HTTP adaptive streaming in multicast-enabled multimedia access networks
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
bookPart
Publication
New York, N.Y. :IEEEE, [*]
Subject
Mass communications
Computer. Automation
Source (book)
13th IEEE/IFIP Network Operations and Management Symposium, April 16-20, 2012, Maui, Hawaii
ISBN
978-1-4673-0268-5
ISI
000309517000183
Carrier
E
Target language
English (eng)
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.
E-info
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