NDLI: Design and implement of network traffic forecast system

Content Provider	IEEE Xplore Digital Library
Author	Fei He Jian Li Yue You
Copyright Year	2001
Description	Author affiliation: CERNET Nat. Network Center, Tsinghua Univ., Beijing, China (Fei He)
Abstract	Due to the fast development of the Internet; the traditional mathematical model has become insufficient to efficiently analyze and forecast the practical network characteristics; the research of the network performance, however, is crucial to Internet development The present work focuses on the study and implementation of a system for network flow forecasting based on the China Education and Research Network (CERNET), the largest nationwide academic network in China. Measurement of the backbone traffic was conducted, and analyses of the correlation of the long-term measurement results were performed subsequently. Based on the analysis results, it was found that the network traffic was characterized with strong periodicity. Therefore, the network traffic forecast based on the periodical exponential smoothing model is presented and implemented. The error analysis of the forecast results demonstrates the effectiveness of this model. The forecast of network traffic provides as well strong evidence for the inspection of the network.
Sponsorship	China Assoc. Sci. & Technol.(CAST)
Starting Page	164
Ending Page	169
File Size	482603
Page Count	6
File Format	PDF
ISBN	0780370104
DOI	10.1109/ICII.2001.983802
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Smoothing methods Error analysis Spine Telecommunication traffic Traffic control Predictive models Performance analysis IP networks Mathematical model
Content Type	Text
Resource Type	Article

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