Skip to Content
[CAIDA - Center for Applied Internet Data Analysis logo]
Center for Applied Internet Data Analysis
www.caida.org > publications : bib : networking : entries : groschwitz94timeseries.xml
Bibliography Details
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
Authors: N. Groschwitz
G. Polyzos
Published: IEEE International Conference on Communications (ICC), 1994
URL:http://www.caida.org/publications/papers/1994/tsm/
Entry Date: 2004-02-06
Abstract:

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.

Datasets:
Experiments:
Results:
References:
  Last Modified: Tue Oct-8-2019 11:20:57 PDT
  Page URL: http://www.caida.org/publications/bib/networking/entries/groschwitz94timeseries.xml