GARCH model-based large-scale IP traffic matrix estimation

Authors:
Dingde Jiang;Guangmin Hu
Affiliations:
Key Lab of Broadband Optical Fiber Transmission and Communication Networks, University of Electronic Science and Technology of China, Chengdu, China;Key Lab of Broadband Optical Fiber Transmission and Communication Networks, University of Electronic Science and Technology of China, Chengdu, China
Venue:
IEEE Communications Letters
Year:
2009

Citing 4
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ARCH-based traffic forecasting and dynamic bandwidth provisioning for periodically measured nonstationary traffic

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Abstract

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.