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随着企业信息化水平不断提升,如视频业务会议、远程教学等实时流媒体系统已广泛应用,大大提升了工作效率。对于员工超百万的电网公司而言,在大量用户进行流媒体接入时,传统架构无法承受海量数据的传输。为了解决这个问题,本文综合利用了P2P网络技术、CDN技术和AS分域技术的优点,提出了一种基于自治域的对等网混合网络模型Hybrid P2P and CDN Structure(HPCS),以及一种基于熵权分析的核心节点选举算法。在大幅度的降低跨网流量,提升网络延时性能的同时,降低部署成本,在电网实时流媒体业务中具有广泛的应用前景。
As the level of enterprise information continues to improve, such as video conference business, distance learning and other real-time streaming media systems have been widely used, greatly improving work efficiency. For power companies with over a million employees, the traditional architecture can not tolerate the transmission of massive amounts of data while streaming to a large number of users. In order to solve this problem, this paper makes full use of the advantages of P2P network technology, CDN technology and AS sub-area technology, and proposes a Hybrid P2P and CDN Structure (HPCS) based on autonomous domain-based peer-to-peer hybrid network model. Core Node Election Algorithm for Entropy Weight Analysis. Reduce the cross-network traffic and improve network delay performance drastically, meanwhile, reduce the deployment cost and have broad application prospects in real-time streaming media services of the power grid.