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http://dx.doi.org/10.9708/jksci.2021.26.03.001

Realtime Media Streaming Technique Based on Adaptive Weight in Hybrid CDN/P2P Architecture  

Lee, Jun Pyo (Dept. of Smart IT, Osan University)
Publication Information
Journal of the Korea Society of Computer and Information / v.26, no.3, 2021 , pp. 1-7 More about this Journal
Abstract
In this paper, optimized media data retrieval and transmission based on the Hybrid CDN/P2P architecture and selective storage through user's prediction of requestability enable seamless data transfer to users and reduction of unnecessary traffic. We also propose a new media management method to minimize the possibility of transmission delay and packet loss so that media can be utilized in real time. To this end, we construct each media into logical segments, continuously compute weights for each segment, and determine whether to store segment data based on the calculated weights. We also designate scattered computing nodes on the network as local groups by distance and ensure that storage space is efficiently shared and utilized within those groups. Experiments conducted to verify the efficiency of the proposed technique have shown that the proposed method yields a relatively good performance evaluation compared to the existing methods, which can enable both initial latency reduction and seamless transmission.
Keywords
Contents Delivery Network; Video Streaming; Networked Video; Network Architecture; Streaming Technique;
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