Title :
A network traffic prediction method using two-dimensional correlation and Single exponential smoothing
Author :
Jian Kuang ; Dongwei Zhai ; Xinyu Wu ; Yanwen Wang ; Qinghua Ma
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing, China
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.
Keywords :
correlation methods; forecasting theory; prediction theory; quality of service; smoothing methods; telecommunication network management; telecommunication network planning; telecommunication traffic; time series; QoS network management; TDCNTP model; network planning; network traffic prediction method; single exponential smoothing; time series forecasting model; two-dimensional correlation; Analytical models; Correlation; Fluctuations; History; Predictive models; Smoothing methods; Telecommunication traffic; fluctuation ratio correlation; network traffic prediction; periodicity correlation; single exponential smoothing;
Conference_Titel :
Communication Technology (ICCT), 2013 15th IEEE International Conference on
Conference_Location :
Guilin
DOI :
10.1109/ICCT.2013.6820409
