Earticle

In order to reduce the bandwidth overhead and the node request rejection rate of the cloud video-on-demand server, this paper builds the cloud auxiliary framework and proposes the neighbors and chunks selection algorithm, which contains the node selection sub-algorithm and the block download sub-algorithm. The buffer-based node selection algorithm treats the download point as the benchmark to effectively find the neighbor nodes that can provide the video data, and the buffer-based block download algorithm calculates the required minimum buffer values of the two different kinds of block download strategies under the framework, which provides the theoretical basis for the download method of the video block. The experimental results show that the algorithm in this paper achieves good effects in the aspects of the bandwidth overhead of the server, the request rejection rate and the download rate.