By Topic

Utility-Aware Resource Allocation for Multi-Stream Overlay Multicast

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Ji Xu ; Simon Fraser Univ., Burnaby ; Jiangchuan Liu ; Hsiao-Hwa Chen ; Xiao Chu

Overlay multicast, which performs topology construction and data relaying in the application layer, has recently emerged as a promising vehicle for data distribution. In most of the existing systems, only a single stream is assumed for each overlay, and multiple streams, if needed, are distributed separately. In addition, while the overlay node performs relay functions, they generally do not filter the content to match the heterogeneous bandwidth constraints. We consider a more general model, in which a multicast session may consist of multiple data streams, such as video and audio, which are to be delivered to the same set of nodes. The services to these steams are elastic through layer dropping, shaping, or transcoding. In this paper, we focus on an important resource allocation problem in such an adaptive multi-stream multicast framework: Assume that each stream has an associated utility function, how to maximize the total utility of all the streams in a multicast session. The problem involves optimization not only in individual nodes, but also in the global overlay structure. We show that, given a total bandwidth of the streams, there is an efficient and optimal solution for the allocation problem at a single node. The problem however can be much more complicated in a hierarchical structure like tree. Yet we show that, if the utility is concave with bandwidth, i.e., the marginal improvement diminishes with bandwidth increase, then the upstream constraint can be ignored and a local optimal solution is simply the global optimal solution.

Published in:

Communications, 2007. ICC '07. IEEE International Conference on

Date of Conference:

24-28 June 2007