A new model for network traffic based on alpha-stable self-similar processes

This paper proposes a new network traffic model based on alpha-stable processes. Then the traces of three different self-similar models are simulated. Comparing the traces of the simulation data and the trace of the actual data, it is shown that the new model is better than the other models in fitting with the actual data.

[1]  D. Applebaum Stable non-Gaussian random processes , 1995, The Mathematical Gazette.

[2]  Dimitrios Hatzinakos,et al.  Network heavy traffic modeling using α-stable self-similar processes , 2001, IEEE Trans. Commun..

[3]  J. McCulloch,et al.  Estimation of stable spectral measures , 2001 .

[4]  H. Kim,et al.  Bandwidth allocation for self-similar traffic consisting of multiple traffic classes with distinct characteristics , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[5]  Raghuveer M. Rao,et al.  Discrete-time scale invariant systems: Relation to long-range dependence and farima models , 2002, ICASSP.

[6]  Jonathan M. Pitts,et al.  End to end performance in real time IP networks with self-similar behaviour , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[7]  B. Mandelbrot,et al.  Fractional Brownian Motions, Fractional Noises and Applications , 1968 .

[8]  Harish Sethu,et al.  On the effectiveness of buffer sharing in multimedia server network switches with self-similar traffic , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[9]  Murad S. Taqqu,et al.  On the Self-Similar Nature of Ethernet Traffic , 1993, SIGCOMM.