In this paper, we propose a fast scalable video coding (SVC)-based channel-recommendation system for IPTV on a Cloud and peer-to-peer (P2P) hybrid platform. When a user switches channels, the system redirects the client to the cloud network and delivers the base layer of SVC streams to the client. The system provides a multichannel preview window with a small resolution and a fast channelswitching mechanism without additional traffic. After a user has selected a channel, the system redirects the client to the P2P network and sends the necessary enhancement layer streams, so that the client can receive high-quality video. Because of the fact that the recommendation system is known as an effective approach for enhancing the efficiency of channel previews, we propose a novel recommendation system based on the feedback loser tree (FLT) algorithm. The FLT algorithm can be trained by the user's historical log, and attempt to find the user's preferred channels quickly. Our experimental results indicate that the proposed platform can obtain a higher peak signal to noise ratio quality than the original P2P networks, and the proposed system can help users find their favorite channels in only 2 to 5 switching pages. The performance of the proposed system is ∼75% better than that of the high-performance multichannel preview system.
This paper proposes a novel concept of using the sharable bandwidth of public-shared network, like FON network, to construct a scalable, robust, and high availability video streaming delivering system. By the proposed "Bandwidth Expansion" concept and approach, the video streaming source spends only a small amount of bandwidth to deliver the video streaming, but the system is capable to serve a large number of clients to receive the video streaming simultaneously. Two optimal algorithms are proposed to arrange the public-shared bandwidth so that all clients are served and the used resources are minimized. A workable prototype of the proposed PSnet system is also implemented to illustrate the feasibility of the whole concept.
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