Network traffic prediction based on ARFIMA model
ARFIMA is a time series forecasting model, which is an improved ARMA model, the ARFIMA model proposed in this article is demonstrated and deduced in detail. combined with network traffic of CERNET backbone and the ARFIMA model,the result shows that,compare to the ARMA model, the prediction efficiency and accuracy has increased significantly, and not susceptible to sampling.
Keywords: time series, forecasting model, ARFIMA model, ARMA model
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ABOUT THE AUTHORS
Dingding Zhou
she is lecturer in zhoukou normal university. Major research interests are in high speed communications, mobility, security and QoS guarantees.
Songling Chen
he is lecturer in zhoukou normal university. His major research interests are in high speed communications, mobility, security and QoS guarantees.
Shi Dong
he is pursuing for PhD degree in school of computer science from southeast university,China. Major interests are network management, network security
Dingding Zhou
she is lecturer in zhoukou normal university. Major research interests are in high speed communications, mobility, security and QoS guarantees.
Songling Chen
he is lecturer in zhoukou normal university. His major research interests are in high speed communications, mobility, security and QoS guarantees.
Shi Dong
he is pursuing for PhD degree in school of computer science from southeast university,China. Major interests are network management, network security
