Kernel based LSI system model for synthesizing self-similar network traffic traces

被引:0
|
作者
Lee, SS [1 ]
Rao, R [1 ]
机构
[1] Rochester Inst Technol, Ctr Imaging Sci, Rochester, NY 14623 USA
来源
关键词
scale-invariant systems; networks; traffic models; self-similarity; kernel representation; non-stationary traffic;
D O I
10.1117/12.472954
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The authors have previously studied simulation of network traffic traces using a fractional pole-zero system derived from a discrete-time dilation or scaling operation based on warping transforms that convert discrete-time frequency to a continuous-time frequency. However, such a model can be used to analyze and simulate only stationary discrete-time self-similar signals. This paper propounds a more general model for discrete-time linear scale-invariant (DLSI) systems built on linear kernel approaches. It is shown that this model can synthesize self-similar processes for simulating non-stationary network traffic.
引用
收藏
页码:180 / 188
页数:9
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