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A Source Adaptive Multi-Layered Multicast Algorithm for Internet Video Distribution (1999)
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| Venue: | IEEE/ACM Trans. Networking |
| Citations: | 21 - 0 self |
BibTeX
@ARTICLE{Albuquerque99asource,
author = {Célio Albuquerque and Brett J. Vickers and Tatsuya Suda},
title = {A Source Adaptive Multi-Layered Multicast Algorithm for Internet Video Distribution},
journal = {IEEE/ACM Trans. Networking},
year = {1999},
volume = {8},
pages = {720--733}
}
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Abstract
Layered transmission of data is often recommended as a solution to the problem of varying bandwidth constraints in multicast applications. In the case of video multicast, this technique encodes multiple interdependent layers of video at arbitrary target rates in order to address heterogeneous bandwidth constraints between the source and multiple receivers. However, multi-layered encoding alone is not sufficient to provide high video quality and high bandwidth utilization, because bandwidth constraints change over time. Adaptive techniques capable of adjusting the rates of video layers are required to maximize video quality and network utilization. In this paper we define a class of algorithms known as Source-Adaptive Multilayered Multicast (SAMM) algorithms. In SAMM algorithms, the source uses congestion feedback to adjust the number of generated layers and the bit rate of each layer. Furthermore, we introduce an end-to-end SAMM algorithm, in which only end systems monitor available b...
Keyphrases
internet video distribution source adaptive multi-layered multicast algorithm bandwidth constraint end-to-end samm algorithm end system multiple interdependent layer adaptive technique multiple receiver video quality congestion feedback video multicast bit rate multicast application arbitrary target rate high video quality network utilization high bandwidth utilization generated layer video layer source-adaptive multilayered multicast heterogeneous bandwidth constraint samm algorithm
