Self-similarity of the simulated internet traffic from the source with clustered fragmented periodic output

Authors:
Yuri B. Boiko;Tet H. Yeap
Affiliations:
University of Ottawa;University of Ottawa
Venue:
Proceedings of the 2013 Summer Computer Simulation Conference
Year:
2013

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Abstract

The property of self-similarity for various time scales of the internet traffic is considered for the cluster model of the source with fragmented distribution of the activity rate, constant within each mode of the cluster fragment. It is demonstrated that the clustering itself provides the level of self-similarity, which is dependent on the size of the cluster zones. Specifically, it is shown that scaling up the size of the clusters extends self-similarity to the higher levels of traffic aggregation. Specifically, simulation experiment reveals that by doubling the size of the clusters the threshold of the traffic self-similarity has been upgraded by two aggregation levels.