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Proceedings Paper

Further results on self-similar network traffic modeling with scale-invariant systems
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Paper Abstract

Discrete-time linear systems that possess scale-invariance properties even in the presence of continuous dilation were proposed by Zhao and Rao. The paper presents results of subsequent investigation characterizing self-similarity properties of discrete-time signals synthesized by these systems. It is shown that white noise inputs to these linear scale invariant systems produce self-similar outputs regardless of the marginal distribution of the noise. We investigate this with different types of inputs and in most instances the outputs are fractional Gaussian and self-similar. This is confirmed by generating the fractional Gaussian noise from the fractional Brownian motion and comparing its characteristics with the system output. For heavy tailed input distributions, the output is also heavy-tailed and self-similar. It is also shown that it is possible to synthesize statistically self-similar signals whose self-similarity parameters are consistent with those observed in network traffic.

Paper Details

Date Published: 28 August 2001
PDF: 12 pages
Proc. SPIE 4395, Digital Wireless Communication III, (28 August 2001); doi: 10.1117/12.438285
Show Author Affiliations
Raghuveer M. Rao, Rochester Institute of Technology (United States)
Seungsin Lee, Rochester Institute of Technology (United States)
Rajesh Narasimha, Rochester Institute of Technology (United States)
Soheil A. Dianat, Rochester Institute of Technology (United States)

Published in SPIE Proceedings Vol. 4395:
Digital Wireless Communication III
Raghuveer M. Rao; Soheil A. Dianat; Michael D. Zoltowski, Editor(s)

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