Abstract:In order to provide streaming media service with higher quality, a new data scheduling mechanism based on improved particle swarm optimization algorithm is proposed. This mechanism applies the idea of particle swarm optimization to peer selection of BitTorrent (BT) streaming system. First, improved particle swarm optimization (IPSO) algorithm is developed to overcome the shortcoming of falling easily into local optimum. Second, particle encoding and decoding are defined in the context of streaming media data scheduling, and fitness function based on the service ability of a peer is proposed. Third, IPSO-based neighbor peer selection (IPSO-NPS) algorithm is designed, in which the optimal solution of IPSO determines the set of peers providing data block resources. Simulation results show that IPSO algorithm enhances the convergence speed and accuracy, and the new data scheduling mechanism of IPSONPS reduces the startup delay of system, enhances the media playing continuity and reduces the network load.
A new video transmission scheme called eMP (Client Multicast Patching) is proposed based on representative Multicast Patching {I J for proxy-based distributed VOD. When an appointed client plays a video, it is also acting as a server transmitting the partial video segments via multicast for latter requests in local network, therefore regional abundant network bandwidth is utilized instead of a remote server and backbone network bandwidth. The appointed client is not burdened with extra I/O bandwidth requirement and instantaneous service for client requests is provided. In addition, the eMP scheme is adaptive to video popularity. Our simulation study shows that significant network resource can be saved with the eMP scheme.
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