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ISSN:2394-3661 | Crossref DOI | SJIF: 5.138 | PIF: 3.854

International Journal of Engineering and Applied Sciences

(An ISO 9001:2008 Certified Online and Print Journal)

Empirical Performance of Weibull Self-Similar Tele-traffic Model

( Volume 4 Issue 8,August 2017 ) OPEN ACCESS

J. Popoola, R. A. Ipinyomi


The stringent memoryless assumption in general traffic modeling is often violated due to concurrent or batch arrivals. Batch arrivals often leads to self-similarity or long range dependency problems in Internet traffic. Modeling tele-traffic data in this condition requires the use of heavy tailed distribution. In this paper, we propose a general form of Weibull tele-traffic model for self-similar Internet traffic data. The model empirical performance was observed via Monte-Carlo simulation with the aid of discrete event simulation. Performance analysis for the proposed model alongside standard Poisson/ Exponential model was also achieved. The results from the analysis established the strength of Weibull model over the existing model.

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