A Neural Network Approach for Predicting Network Resource Requirements in Video Transmission Systems

TitleA Neural Network Approach for Predicting Network Resource Requirements in Video Transmission Systems
Publication TypeJournal Articles
Year of Publication2000
AuthorsWong HS, Wu M, Joyce RA, Guan L, Kung SY
JournalProc. IEEE Pacific RIM Conference on Multimedia, Sydney, Australia
Date Published2000///
Abstract

Dynamic resource allocation is important for ensuring ef-ficient network utilization in Internet-based multimedia
content delivery system. To allow accurate network traf-
fic prediction in the case of video delivery, relevant infor-
mation based on video contents and the short term traffic
pattern has to be taken into account, while the inclusion of
non-relevant features will deterioriate the prediction per-
formance due to the "curse of dimensionality" problem.
In this work, we propose a neural network-based predic-
tion system and specifically address the determination of
relevant input features for the system. Experiments have
shown that the current system is capable of identifying
a highly relevant subset of features for traffic prediction
given a large number of video content and short-term net-
work traffic descriptors.