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Can live server with the extended multiple concurrent shift

Author: WangGuoQuan
Tutor: YeDeJian
School: Fudan University
Course: Computer Software and Theory
Keywords: IPTV Scalability Fast forward and rewind Disk I / O HFC
CLC: TP393.05
Type: Master's thesis
Year: 2009
Downloads: 45
Quote: 2
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Abstract


With the popularity of computers and networks , audio and video codec technology development and the improvement of the people living requirements , streaming media technology by academia and industry attention , IPTV services are gradually being welcomed . Many companies and organizations involved in the research and development of high - performance streaming system work , the focus is to enhance the performance of the streaming media server . Streaming service , the most typical is the on-demand services and broadcast services , and now live services in order to increase the interactive experience , provides a time-shift function . The thesis is divided into three parts , the first part , the introduction of IPTV services , fast forward and rewind operation server impact analysis, and proposed a format for media files fast forward and rewind operation optimization package index . The optimization strategy used in the server on demand and time shift live server , the actual operating data and performance comparison experiments show that the optimization strategy to reduce consumption of the operation of the server fast forward and rewind . Shifted the live server extensions and concurrent performance in the second part , the study proposed an improved system architecture , the enhanced system expansion and fault tolerance . The architecture is based on a set of independent research and development of existing time shift live server ClearLiveServer , expounded the server distributed architecture and function of each module and work , critical data storage , disk operations strategy and system applications were analyzed. In the third part , the radio and television HFC network , combined with the actual deployment experience explains how deployment of video-on-demand (including time-lapse live ) services in the HFC network , and analysis of the characteristics of HFC deployment of video-on-demand service . Finally , the future related work briefly discussed .

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