Modeling of network traffic with self-similar process

Authors:
Evgeniya Gospodinova;Mitko Gospodinov
Affiliations:
Central Laboratory of Mechatronics and Instrumentation at Bulgarian Academy of Sciences;Central Laboratory of Mechatronics and Instrumentation at Bulgarian Academy of Sciences
Venue:
CompSysTech '08 Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
Year:
2008

Citing 4
Cited 0

Self-similarity through high-variability: statistical analysis of Ethernet LAN traffic at the source level

IEEE/ACM Transactions on Networking (TON)
Fast, approximate synthesis of fractional Gaussian noise for generating self-similar network traffic

ACM SIGCOMM Computer Communication Review
Synthesis of fractional gaussian noise using linear approximation for generating self-similar network traffic

ACM SIGCOMM Computer Communication Review
A wavelet-based joint estimator of the parameters of long-range dependence

IEEE Transactions on Information Theory

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Abstract

This paper presents three algorithms for modelling of self-similar network traffic, based on the fractional Gaussian noise (FGN). These algorithms use different manners to compute the power spectrum of FGN. In the paper was made comparative analysis between them in terms of the computation speed and the accuracy in generating self-similar traffic with given Hurst parameters. The obtained results shown that both of the algorithms are with high agree of accuracy and they can be used in practical computer simulation studies.