基于云平臺(tái)的多約束流媒體內(nèi)容分發(fā)方法研究
[Abstract]:With the development of broadband and web2.0, streaming media applications such as IPTV,VoD, HD video have gradually become the mainstream of broadband applications in the next generation Internet. Streaming media applications with high bandwidth, high access and high quality of service requirements pose a great challenge to the best-effort Internet. However, due to the static deployment of resources in content distribution network (CDN (Content Delivery Network), it will lead to the problem of insufficient deployment of resources or waste of resources. Because P2P network nodes come and go freely, the quality of service will be unstable when P2P (Peer to Peer) is used to distribute streaming media. Cloud computing as a new network computing model, pay-on-demand as a business model, can provide users with virtually unlimited scalability of shared virtualization resources. This kind of elastic computing provides an opportunity to solve the problems faced by CDN and P2P. Streaming media distribution system based on cloud platform can solve the problems existing in traditional distribution and significantly reduce the operating costs of streaming media application providers. To build a streaming media distribution system based on cloud platform, we need to face a large number of highly dynamic needs from various geographic regions, and to ensure the quality of service, we need to adopt the data center of multiple cloud service providers in each region in order to ensure the quality of service. That is, the distributed cloud data center architecture (hereafter referred to as distributed cloud) is needed to build a distribution network for streaming media applications. In this paper, for the typical multi-channel and multi-user application scenario, the establishment of distributed cloud-based distribution network and content distribution algorithm are studied, and the distribution topology and the billing methods of cloud data centers are considered. User location and request rate are modeled as directed Steiner tree. The proposed content distribution algorithm can provide streaming media service satisfying quality of service to users and reduce the overhead and cost of distribution. The algorithm is verified and analyzed under the running environment of matlab and Yalmip Linear programming Toolbox. The results show that under different topologies, the heuristic algorithm can get the near-solution with low time complexity. Can be easily applied to commercial streaming media content distribution system.
【學(xué)位授予單位】:鄭州大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類(lèi)號(hào)】:TP393.02
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