Estimating Network Flow Length Distributions via Bayesian Nonnegative Tensor Factorization

In this paper, we develop a framework to estimate network flow length distributions in terms of the number of packets. We model the network flow length data as a three-way array with day-of-week, hour-of-day, and flow length as entities where we observe a count. In a high-speed network, only a sampl...

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Veröffentlicht in:	Wireless communications and mobile computing 2019, Vol.2019 (2019), p.1-17
Hauptverfasser:	Zeydan, Engin, Karabulut Kurt, Güneş, Cemgil, Ali Taylan, Kurt, Barış
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Arrays Histograms Mathematical analysis Matrices (mathematics) Methods Multiplication Sampling methods Tensors Wireless networks
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