Towards Fine Grained Network Flow Prediction

One main challenge for the design of networks is that traffic load is not generally known in advance. This makes it hard to adequately devote resources such as to best prevent or mitigate bottlenecks. While several authors have shown how to predict traffic in a coarse grained manner by aggregating f...

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Veröffentlicht in:	arXiv.org 2018-08
Hauptverfasser:	Jahnke, Patrick, Stapf, Emmanuel, Mieseler, Jonas, Neumann, Gerhard, Eugster, Patrick
Format:	Artikel
Sprache:	eng
Schlagworte:	Bursty traffic Fourier transforms Kalman filters Kernels Linear functions Predictions Principal components analysis Traffic flow
Online-Zugang:	Volltext
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