  In this article, artificial neural networks (ANN) are used for modeling the
number of requests received by 1998 FIFA World Cup website. Modeling is done by
means of time-series forecasting. The log traces of the website, available
through the Internet Traffic Archive (ITA), are processed to obtain two
time-series data sets that are used for finding the following measurements:
requests/day and requests/second. These are modeled by training and simulating
ANN. The method followed to collect and process the data, and perform the
experiments have been detailed in this article. In total, 13 cases have been
tried and their results have been presented, discussed, compared and
summarized. Lastly, future works have also been mentioned.
