Advanced Models and Algorithms for Self-Similar IP Network Traffic Simulation and Performance Analysis

Dimitar Radev; Izabella Lokshina

doi:10.2478/v10187-010-0053-0

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Advanced Models and Algorithms for Self-Similar IP Network Traffic Simulation and Performance Analysis

Journal of Electrical Engineering

Volume 61 (2010): Issue 6 (November 2010)

By: Dimitar Radev and Izabella Lokshina

Open Access

|Jun 2011

Abstract

The paper examines self-similar (or fractal) properties of real communication network traffic data over a wide range of time scales. These self-similar properties are very different from the properties of traditional models based on Poisson and Markov-modulated Poisson processes. Advanced fractal models of sequentional generators and fixed-length sequence generators, and efficient algorithms that are used to simulate self-similar behavior of IP network traffic data are developed and applied. Numerical examples are provided; and simulation results are obtained and analyzed.

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Articles in this issue

DOI: https://doi.org/10.2478/v10187-010-0053-0 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632

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Language: English

Page range: 341 - 349

Published on: Jun 7, 2011

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Publication frequency: 6 issues per year

Keywords:

communication networks,

IP network traffic,

long-range dependent self-similar processes,

advanced generators of self-similar teletraffic

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2011 Dimitar Radev, Izabella Lokshina, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons License.

Volume 61 (2010): Issue 6 (November 2010)