Data Distributing Algorithm Base-on P2P Live Streaming Technology

In recent years, P2P live streaming technology has been more widely used, with the P2P live streaming service a large number of species and the growth of online users. But for now, there are still streaming media service system, such as:video startup delay, and poor continuity of video playback issues. How to optimize the existing P2P live streaming system performance and reduce the high startup delay of video, allowing users to watch videos become more fluid scholars an important research topic.This paper analyzes based on Mesh-Pull P2P live streaming mode system, which has a high ability to cope with node dynamics, higher upstream bandwidth utilization and node scalability, this model in addressing the streaming media service system bottlenecks obtained on academia and industry alike. However, the reality of large-scale applications based on Mesh-Pull P2P live streaming video system, but has a high startup delay, resulting in the deployment of streaming media broadcast system, when the source server bandwidth allocation lightly configuration parameters such as size, thus causing nodes in the system the user can not make full use of bandwidth resources, increasing the source server's operating costs.Based on the existing P2P streaming system and application characteristics of network topology analysis and summary, and in the Mesh-Pull P2P live streaming data scheduling strategy based on in-depth study of data presented IMPull scheduling algorithm. Here are some main work:Firstly, the existing P2P-based technology for live streaming media studies, detailed description the practical application of these technologies arising from deficiencies.Second, the paper analyzes the impact of node startup delay, play a continuous performance of the main factors such as degree of these factors were summarized and discussed scheduling for P2P data stream media played an important role in performance optimization one.Third, the existing paper-based Mesh-Pull P2P live streaming data related to scheduling algorithm conducted in-depth study of data from the application of streaming media data blocks in the cache priority of the request, the video of the startup delay, etc. the advantages of data scheduling mechanism, and for existing Mesh-Pull scheduling algorithm, this paper proposes a new delay-based broadcast service urgent degree IMPull scheduling policy.Finally, the scheduling strategy used IMPull data were simulated experiment data with the Mesh-Pull scheduling delay in the start, play a continuous comparison of the degree, etc., confirming the improved performance of scheduling strategies on the system played a major role in optimization.