Institutul de Matematică şi Informatică "Vladimir Andrunachievici"
Universitatea de Stat din MoldovaRO EN
Modeling Network Traffic in Wavelet Domain
Authors: Sheng Ma, Chuanyi Ji
– 0.53 Mb
Abstract
This work discovers that although network traffic has the complicated short- and long-range temporal dependence, the corresponding wavelet coefficients are no longer long-range dependent. Therefore, a "short-range" dependent process can be used to model network traffic in the wavelet domain. Both independent and Markov models are investigated. Theoretical analysis shows that the independent wavelet model is sufficiently accurate in terms of the buffer overflow probability for Fractional Gaussian Noise traffic. Any model, which captures additional correlations in the wavelet domain, only improves the performance marginally. The independent wavelet model is then used as a unified approach to model network traffic including VBR MPEG video and Ethernet data. The computational complexity is O(N) for developing such wavelet models and generating synthesized traffic of length N, which is among the lowest attained.Sheng Ma, Chuanyi Ji
Sheng Ma,
IBM T.J. Watson, Hawthorne, NY 10532,
Phone: (914) 784 7837,
E-mail:
Chuanyi Ji,
ECE, GaTech, Atlanta, GA30332-0250,
Phone: 404-894-2393
Sheng Ma,
IBM T.J. Watson, Hawthorne, NY 10532,
Phone: (914) 784 7837,
E-mail:
Chuanyi Ji,
ECE, GaTech, Atlanta, GA30332-0250,
Phone: 404-894-2393
Fulltext
– 0.53 Mb
Contents
- Foreword
- Queuing analysis with traffic models based on deterministic dynamical systems
- On the Chaotic Behavior of Variable-Bit-Rate Video and Its Application in Traffic Modeling
- A Stochastic Map Model of Phase Transition in Internet Traffic
- Sustained Rhythm and Directed Self-Locomotion under Thermodynamically Open System
- A Pseudo-Statistic Edge Detector using Fuzzy Computation
- Modeling Network Traffic in Wavelet Domain
- On Estimating Long Range Dependence of Network Delay
