A Study of Deep Learning for Network Traffic Data Forecasting

Benedikt Pfülb, Christoph Hardegen, Alexander Gepperth +1

We present a study of deep learning applied to the domain of network traffic data forecasting. This is a very important ingredient for network traffic engineering, e.g., intelligen…