By Topic

Prediction of Network Flow Based on Wavelet Analysis and ARIMA Model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Jingfei Li ; Coll. of Comput. Sci. & Technol., Shandong Univ., Jinan, China ; Lei Shen ; Yongan Tong

Internet traffic analysis, models simulation and prediction play a very important part in the network management and design.Combining wavelet techniques and time-series ARIMA model, the establishment of a network traffic prediction model in this paper. First, time series of wavelet decomposition of flow to gets detail coefficients and approximation coefficients. On the details coefficients, applying the stationary series model, on the approximation coefficients, applying difference method, then using the stationary series ARIMA model to predict. At last, applying the actual network traffic to verify the model. The results show that the model has higher prediction accuracy.

Published in:

Wireless Networks and Information Systems, 2009. WNIS '09. International Conference on

Date of Conference:

28-29 Dec. 2009