N. Groschwitz and G. Polyzos, "A Time-Series Model of Long-Term Traffic on the NSFNET Backbone", in IEEE International Conference on Communications (ICC), May 1994.
|A Time-Series Model of Long-Term Traffic on the NSFNET Backbone|
|Published:||IEEE International Conference on Communications (ICC), 1994|
We used time series analysis to create detailed forecasts of future NSFNET backbone traffic. The resultin g ARIMA model made quite accurate forecasts of traffic levels up to a year in advance. It appears that the model can make reasonable predictions for two or more years into the future, suggesting that ARIMA modeling has great promise as a tool for long-range NSFNET forecasting and planning.