DocumentCode :
3254150
Title :
Fast Near-Optimal Algorithm for Delivering Multiple Live Video Channels in CDNs
Author :
Jiayi Liu ; Simon, Gael
Author_Institution :
Telecom Bretagne, France
fYear :
2013
fDate :
July 30 2013-Aug. 2 2013
Firstpage :
1
Lastpage :
7
Abstract :
Content Delivery Networks (CDNs) are confronted with a sharp increase in traffic related to live video (channel) streaming. Previous theoretical models that deal with streaming capacity problems do not capture the emerging reality faced by today´s CDNs. In particular, a modern CDN has to deliver a large set of independent non-divisible data streams, which need to be either delivered in whole, or not delivered at all. This constraint is not addressed in previous works. In this paper we identify a new, discretized streaming model for live video delivery in CDNs. For this model we formulate a general optimization problem and show that it is NP-complete. Then we study a practical scenario that occurs in real CDNs. We present a fast, easy to implement, and near-optimal algorithm with performance approximation ratios that are negligible for large network. To our knowledge, these are the first results for the discretized streaming model, and have both practical and theoretical importance in a topic of growing criticality.
Keywords :
Internet; approximation theory; computational complexity; optimisation; video streaming; CDN; NP-complete problem; content delivery network; discretized streaming model; fast near-optimal algorithm; general optimization problem; independent nondivisible data stream; live video delivery; live video streaming; multiple live video channel; performance approximation ratio; Approximation algorithms; Approximation methods; Bandwidth; Servers; Streaming media; Topology; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communications and Networks (ICCCN), 2013 22nd International Conference on
Conference_Location :
Nassau
Print_ISBN :
978-1-4673-5774-6
Type :
conf
DOI :
10.1109/ICCCN.2013.6614138
Filename :
6614138
Link To Document :
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