DocumentCode :
3410785
Title :
Overlay optimization for Peer-to-Peer scalable video streaming
Author :
Lima, Luiz ; Dalai, Marco ; Migliorati, P. ; Leonardi, R.
Author_Institution :
Dept. of Inf. Eng., Univ. of Brescia, Brescia, Italy
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
2245
Lastpage :
2248
Abstract :
Video streaming with Peer-to-Peer (P2P) architectures and Scalable Video Coding (SVC) appears to be an interesting solution for an efficient streaming in the heterogeneous scenario of Internet applications. A key issue in such approach is the optimization of the bandwidth capacity of the P2P system. In this paper we propose an innovative approach for the network overlay optimization based on Integer Linear Programming. The proposed approach is particularly suitable in case of push-based solutions for video streaming using SVC with prioritized content. The simulation results show the flexibility of the proposed model when used to generate an overlay following different constraints and operational requirements. The usability and the computational complexity of the proposed method is also analyzed when the overlay includes an high number of peers.
Keywords :
Internet; computational complexity; integer programming; linear programming; overlay networks; peer-to-peer computing; video coding; video streaming; Internet; P2P architecture; P2P system; SVC; bandwidth capacity; computational complexity; integer linear programming; network overlay optimization; peer-to-peer architecture; peer-to-peer scalable video streaming; push-based solution; scalable video coding; Bandwidth; Complexity theory; Optimization; Peer to peer computing; Streaming media; Throughput; Video coding; Overlay Optimization; P2P architectures; Scalable Video Coding; Video Streaming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467342
Filename :
6467342
Link To Document :
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