NDLI: A network traffic prediction method using two-dimensional correlation and Single exponential smoothing

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A network traffic prediction method using two-dimensional correlation and Single exponential smoothing

Content Provider	IEEE Xplore Digital Library
Author	Jian Kuang Dongwei Zhai Xinyu Wu Yanwen Wang Qinghua Ma
Copyright Year	2013
Description	Author affiliation: Beijing Univ. of Posts & Telecommun., Beijing, China (Jian Kuang; Dongwei Zhai; Qinghua Ma) \|\| China Mobile Commun. Corp., Urumqi, China (Xinyu Wu; Yanwen Wang)
Abstract	TDCNTP is a time series forecasting model, which is an improved network traffic prediction model using two-dimensional correlation and the Single exponential smoothing, the TDCNTP model proposed in this article is demonstrated and deduced in detail. Combined with character of the network and the TDCNTP model, the experimental result shows that, compare to the traditional network traffic prediction model, the prediction efficiency and accuracy has increased significantly.
Sponsorship	IEEE Beijing Sect.
Starting Page	403
Ending Page	406
File Size	99621
Page Count	4
File Format	PDF
ISBN	9781479900770
DOI	10.1109/ICCT.2013.6820409
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Telecommunication traffic Predictive models Fluctuations Smoothing methods Correlation History Analytical models single exponential smoothing network traffic prediction periodicity correlation fluctuation ratio correlation
Content Type	Text
Resource Type	Article

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