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GARCH Model-Based Large-Scale IP Traffic Matrix Estimation
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DOI：10.1109/LCOMM.2008.081271.png)
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This letter proposes a novel method to estimate large-scale IP traffic matrix (TM). By using the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) to model the Origin-Destination (OD) flows, we can easily get rid of the ill-posed problem of large-scale IP TM. Compared with previous methods, our method does not only hold the lower estimation errors but also is more robust to the noise.
Keyword:
Traffic matrix
traffic matrix estimation
traffic engineering
GARCH
nonstationary traffic
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4.4
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1.3W
被引数:
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