A Study of Deep Learning for Network Traffic Data Forecasting

10 Sep 2019Benedikt PfülbChristoph HardegenAlexander GepperthSebastian Rieger

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., intelligent routing, which can optimize network performance, especially in large networks... (read more)

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