Journal of
Engineering and Technology Research

  • Abbreviation: J. Eng. Technol. Res.
  • Language: English
  • ISSN: 2006-9790
  • DOI: 10.5897/JETR
  • Start Year: 2009
  • Published Articles: 198

Full Length Research Paper

Investigation of self-similar nature of video streaming traffic in corporate network

Shalangwa D. A
  • Shalangwa D. A
  • Department of Physics, Adamawa State University, Mubi, Adamawa State, Nigeria
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Malgwi D. I.
  • Malgwi D. I.
  • Department of Physics, University of Maiduguri, Borno State, Nigeria.
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  •  Received: 20 January 2014
  •  Accepted: 04 February 2014
  •  Published: 31 March 2014

Abstract

In this work, a model of the corporate network had been developed, simulated and implemented using an optimized network engineering tool in a simulation area of 1.5 × 1.5 km enterprise topology network to stream video between each other. Total of 14,670 video traffic (traffic load) is streamed from different sources and destinations at random. The video streaming traffic is monitored, analyzed in view of identifying traffic self-similarity in the network. The results of the analysis show that video traffic is highly self-similar in the network using Abry-Veitch and smoothing algorithms method. The effect of self-similarity in the network is reduced with the help of 1D wavelet technique.

 

Key words: Smoothing algorithms, video, traffic, optimized network engineering tools (OPNET), self-similar.

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This article is published under the terms of the Creative Commons Attribution License 4.0

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