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

fYear

2013

fDate

17-19 Nov. 2013

Firstpage

403

Lastpage

406

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Technology (ICCT), 2013 15th IEEE International Conference on

Conference_Location

Guilin

Type

conf

DOI

10.1109/ICCT.2013.6820409

Filename

6820409