Study of video traffic In telecommunication systems for the purpose of service quality

Authors

  • Amin Salih Mohammed Information Technology Department, Lebanese French University –Erbil, College of Engineering, Software Department, Salahddin University-Erbil
  • Farah Qasim Ahmed Information Technology, Lebanese French University, KRG – Iraq

DOI:

https://doi.org/10.25212/lfu.qzj.3.3.25

Keywords:

video traffic, quality of service, correlations dimension, fractal.

Abstract

The self-similar network traffic can have a detrimental impact on network performance, including  amplified queuing delay, retransmission rate and packet loss rate. Modern network traffic consists of more bursts than Poisson models predict over many time scales. This difference has implications for performance. The video traffic research is important because self-similar nature of network traffic leads to a number of undesirable effects like high buffer overflow rates, large delays and persistent periods of congestion and the severity of these conditions is directly proportional to the degree of self-similarity. On the other hand, the long memory property of self-similar traffic is able to help to forecast traffic for the purpose of quality of service (QoS) provision. This work presents the results of the analysis of video traffic performed and study the structure of the video traffic to identify its characteristic features.

Downloads

Download data is not yet available.

References

Tamara Radivilova,Yousef Ibrahim Daradkeh,Lyudmyla Kirichenko, Development of QoS Methods in the Information Networks with Fractal Traffic, International Journal of Electronics and Telecommunications , January 2018.

Mahdi H. Miraz, Suhail A. Molvi, Maaruf Ali, Muzafar A. Ganie, and AbdelRahman H. Hussein, ―Analysis of QoS of VoIP Traffic through WiFi-UMTS Networks,‖ in Proceedings of the World Congress on Engineerings (WCE) 2014, vol. 1, Imp

Irini Reljin,1 Andreja Samcovi ˘ c,´ 2 and Branimir Reljin1, H.264/AVC Video Compressed Traces: Multifractal and Fractal Analysis, Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006, Article ID 75217, Pages 1–13 DOI 10.1155/ASP/2006/75217.

J Beran, R Sherman, MS Taqqu, W Willinger,Long-range dependence in variable-bit-rate video traffic,IEEE Transactions on communications 43 (234), 1566-1579.

W Willinger, MS Taqqu, R Sherman, DV Wilson,Self-similarity through high-variability: statistical analysis of Ethernet LAN traffic at the source level,IEEE/ACM Transactions on Networking (ToN) 5 (1), 71-86.

Dejan R. Markovid, Ana M. Gavrovska, 4K Video Traffic Prediction using Seasonal Autoregressive Modeling, Telfor Journal, Vol. 9, No. 1, 2017.

A. Gavrovska, I. Reljin, "Comparative Analysis of Different Video Compressions at Different Resolution Formats," IEEE Broadcast Symposium, Hartford CT, USA, 12-14 October 2016.

Marius Popescu1 , Andrei Gabor1 and Antoanela Naaji, Simulation, analysis and service quality in carrier voice networks, MATEC Web of Conferences 7 04020 (2016).

W Willinger, MS Taqqu, R Sherman, DV Wilson, Self-similarity through high-variability: statistical analysis of Ethernet LAN traffic at the source level,ACM SIGCOMM Computer Communication Review 25 (4), 100-113

Downloads

Published

2018-09-30

How to Cite

Amin Salih Mohammed, & Farah Qasim Ahmed. (2018). Study of video traffic In telecommunication systems for the purpose of service quality. QALAAI ZANIST JOURNAL, 3(3), 665–673. https://doi.org/10.25212/lfu.qzj.3.3.25

Issue

Section

Articles