Traffic generator model for an n-node network

In the paper a model of the traffic in the LAN is presented. In the model the most important components influencing the network traffic are taken into account. Namely, the transmission protocols and information buffering, operational systems and queuing algorithms as well as users' behavior working with the network applications are considered. The model is based on an “on-off” function. It has been shown that self-similarity of traffic measured by the Hurst parameter changes from almost 1.0 for very low frequencies to 0.5 for high frequencies. Generated and real traffic in a LAN network were compared. Implications, which are derived from the model, are described in the conclusion.

[1]  Jan Beran,et al.  Statistics for long-memory processes , 1994 .

[2]  Janusz Kolbusz,et al.  Network Traffic Model for Industrial Environment , 2005, IEEE Transactions on Industrial Informatics.

[3]  Ugo Mocci,et al.  Broadband Network Teletraffic: Final Report of Action COST 242 , 1996 .

[4]  J. Kolbusz,et al.  Comparison of the traffic in two different computer networks , 2008, 2008 Conference on Human System Interactions.

[5]  Houssain Kettani,et al.  A novel approach to the estimation of the Hurst parameter in self-similar traffic , 2002, 27th Annual IEEE Conference on Local Computer Networks, 2002. Proceedings. LCN 2002..

[6]  Fabio Ricciato Some remarks to recent papers on traffic analysis: or the case for public Wiki-like platforms for commenting published papers , 2006, CCRV.

[7]  Walter Willinger,et al.  Self-similarity through high-variability: statistical analysis of Ethernet LAN traffic at the source level , 1997, TNET.

[8]  J. S. Marron,et al.  On the wavelet spectrum diagnostic for Hurst parameter estimation in the analysis of Internet traffic , 2005, Comput. Networks.

[9]  Ling Zhang,et al.  Some Remarks on ON/OFF Network Traffic , 2008, 2008 Workshop on Power Electronics and Intelligent Transportation System.

[10]  Walter Willinger,et al.  On the self-similar nature of Ethernet traffic , 1993, SIGCOMM '93.

[11]  Sally Floyd,et al.  Wide area traffic: the failure of Poisson modeling , 1995, TNET.

[12]  Jorma Virtamo,et al.  Broadband Network Traffic , 1996, Lecture Notes in Computer Science.

[13]  Walter Willinger,et al.  Self-similarity through high-variability: statistical analysis of Ethernet LAN traffic at the source level , 1997, TNET.

[14]  Adrian Popescu,et al.  Traffic Self-Similarity , 2001 .

[15]  Richard G. Baraniuk,et al.  Network and user driven alpha-beta on-off source model for network traffic , 2005, Comput. Networks.