A popularity-driven video discovery scheme for the centralized P2P-VoD system
Lihua Gao, Haitao Ling, Xutong Fan, Jian‐Xin Chen, Qin Yin, Lei Wang · 2016
With the popularity of network, P2P-based Video on Demand (VoD) has become one of the main services in Internet. However, due to the huge amount of videos, how to access the video quickly is important since it affects the subscriber's experience. In this paper, a popularity-driven storing model is proposed to fasten the video discovery for a centralized P2P-VoD system. All videos are stored in a binary tree in the server according to their popularities. Experimental results show that this scheme works well in terms of discovery delay and resource utilization.