The Video Streaming Monitoring in the Next Generation Networks

Authors:
A. Paramonov;D. Tarasov;A. Koucheryavy
Affiliations:
St. Petersburg Science Research Telecommunication Institute (LONIIS), St. Petersburg, Russia 196128;Central Science Research Telecommunication Institute (ZNIIS), Moscow, Russia 111141;Central Science Research Telecommunication Institute (ZNIIS), Moscow, Russia 111141
Venue:
NEW2AN '09 and ruSMART '09 Proceedings of the 9th International Conference on Smart Spaces and Next Generation Wired/Wireless Networking and Second Conference on Smart Spaces
Year:
2009

Citing 4
Cited 0

Self-similarity through high-variability: statistical analysis of Ethernet LAN traffic at the source level

IEEE/ACM Transactions on Networking (TON)
HEAF: a novel estimator for long-range dependent self-similar network traffic

NEW2AN'06 Proceedings of the 6th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
On modeling video traffic from multiplexed MPEG-4 videoconference streams

NEW2AN'06 Proceedings of the 6th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
A multifractal wavelet model with application to network traffic

IEEE Transactions on Information Theory

Quantified Score

Hi-index	0.00

Visualization

Abstract

The Next Generation Network (NGN) Monitoring System (NMS) is considered. One of the most important problem in the NMS creation is the video streaming monitoring. The IPTV traffic monitoring features are researching at the paper. The self --- of similar traffic characteristics, Hurst parameter estimation methods, inverse wavelet transform and multifractal wavelet model (MWM), ONOFF model are using in the paper. The key paper results are the IPTV traffic aggregation interval determination and the comparison the service parameter (queue length) for actual (measured), inverse wavelet transform and ONOFF traffic with similar values of Hurst parameter for G/M/1.