Title :
An optimized P2P based algorithm using SVC for media streaming
Author :
Lin, Kaixiang ; Liu, Ning ; Xiaonan Luo
Author_Institution :
Sch. of Inf. Sci. & Technol., Sun Yat-Sen Univ., Guangzhou
Abstract :
Currently, it´s a challenge to provide differentiated quality media services in Internet, especially under peer-to-peer (P2P) model. Most P2P based algorithms are not support the service scalability. In this paper, we propose an optimized algorithm, which integrate an excellent P2P algorithm SIM and scalable video coding (SVC) technology for media streaming (SPM). Hosts in SPM can specify media quality by joining into different categories, and then receive base layer data of media and one or several enhancement layers to have a specified quality. And also we propose a continuity priority scheme to minimize the interruption of media service. Simulations results show that it can hold both advantages of SIM and SVC.
Keywords :
Internet; peer-to-peer computing; video coding; video streaming; Internet; SVC; media streaming; optimized P2P based algorithm; peer-to-peer computing; scalable video coding technology; Bandwidth; Delay; Information science; Multicast protocols; Peer to peer computing; Scalability; Scanning probe microscopy; Static VAr compensators; Streaming media; Sun; Media Streaming; Peer-to-Peer; SVC;
Conference_Titel :
Communications and Networking in China, 2008. ChinaCom 2008. Third International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-2373-6
Electronic_ISBN :
978-1-4244-2374-3
DOI :
10.1109/CHINACOM.2008.4685091