Predicting the Session of an P2P IPTV User through Support Vector Regression (SVR)

Predicting the Session of an P2P IPTV User through Support Vector Regression (SVR)

Scalability and ease of implementation make Peer-to-Peer (P2P) infrastructure an attractive option for live video streaming. Peer end-users or peers in these networks have extremely complex features and exhibit unpredictable behavior, i.e. any peer may join or exit the network without prior notice....

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Bibliographic Details
Main Authors: M. Ali, I. Ullah, W. Noor, A. Sajid, A. Basit, J. Baber
Format: Article
Language:English
Published: D. G. Pylarinos 2020-08-01
Series:Engineering, Technology & Applied Science Research
Subjects:
p2p iptv
user behavior
machine learning
svr
bayesian network
session prediction
Online Access:https://etasr.com/index.php/ETASR/article/view/3635

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https://etasr.com/index.php/ETASR/article/view/3635

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