摘要
传统流媒体资源交互方法采用传统的网络站点方式,采用单台计算机实现资源的访问与存储,由于系统网络速度的瓶颈因素,导致系统整体访问效率低下。为此提出一种基于分级结构的大压缩率流媒体资源高速访问技术,采用分段思想将同一时间对同一资源的访问群体分割问多个不同的段,然后根据站点的相似性,将访问特性相同的站点进行归类,在此基础上,对流媒体资源的大数据量进行有效的压缩控制,降低系统通讯载荷,从而实现高效的资源访问。采用100个随机分布的访问站点进行流媒体资源的访问测试实验,结果显示,采用分级结构和压缩算法后,系统的访问效率大大提高,能够满足下一代流媒体资源大数据量的访问需求,具有很好的工程应用价值。
Traditionally, the streaming media resource was carried out at one single computer, the speed of network was limited. The high speed access of streaming based on hierarchical structure and large compression rate technology was proposed, segmented thinking was used to split the resource to several different segments, and then the similarity one of the site were collected together by the classified characteristics, on this basis, streaming media resource with large amount of data was compressed for effective control and reducing the system communication load. 100 randomly dis-tributed streaming media resource was used to test the ability of site access, the result shows that, with the hierarchical structure and compression algorithms, the system efficiency is greatly improved and it can meet the large amounts of data access for the next generation, and it has good value for engineering application.
出处
《科技通报》
北大核心
2014年第2期179-181,共3页
Bulletin of Science and Technology
关键词
流媒体资源
分级结构
数据压缩
高速数据访问
streaming resource
hierarchical structure
data compression
high speed access of data
