期刊
IEEE COMMUNICATIONS LETTERS
卷 13, 期 1, 页码 52-54出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2008.081271
关键词
Traffic matrix; traffic matrix estimation; traffic engineering; GARCH; nonstationary traffic
资金
- National Natural Science Foundation of China [60572092]
- New Century Excellent Talents in University
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.
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