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Research on Video Distribution Strategy and Path Optimization for QoE Perception
RONG Hui-Gui 1 *,ZHANG Na 2
1.College of Information Science and Engineering, University of Hunan, Changsha 410000
2.College of Information Science and Engineering, University of Hunan, Changsha 410000;College of Information Science and Engineering, University of Hunan, Changsha 410000
*Correspondence author
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Funding: National Natural Science Foundation (No.61672221), Hunan Key Research and Development Program Grant (No.2017GK2272)
Opened online: 2 April 2019
Accepted by: none
Citation: RONG Hui-Gui,ZHANG Na.Research on Video Distribution Strategy and Path Optimization for QoE Perception[OL]. [ 2 April 2019] http://en.paper.edu.cn/en_releasepaper/content/4747933
 
 
With the rapid development of the Internet, the continuous upgrading of the network infrastructure, a large amount of online video, making the Internet bear more and more pressure. Compared with the traditional network architecture, the Content Delivery Network (CDN) can improve the utilization of network bandwidth resources, especially the network bandwidth resources of the Backbone Network, improve the quality of network transmission, and can effectively reduce the load of the source server and improve the user\'s Quality of Experience (QoE). In this paper, we make QoE model improvements based on videos of interest to users, and propose a video distribution strategy for improved QoE model. Finally, the path of the distribution strategy is further optimized. We used the CDNsim simulation system to perform simulation experiments and verify the performance of the distribution strategy. The experimental results show that the video distribution strategy proposed in this paper has low response time and high hit rate, which makes QoE higher.
Keywords:Quality of Experience; Content Delivery Network; CDNsim; Node selection algorithm
 
 
 

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