scholarly journals Supervised Learning of Neural Networks for Active Queue Management in the Internet

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 4979
Author(s):  
Jakub Szyguła ◽  
Adam Domański ◽  
Joanna Domańska ◽  
Dariusz Marek ◽  
Katarzyna Filus ◽  
...  

The paper examines the AQM mechanism based on neural networks. The active queue management allows packets to be dropped from the router’s queue before the buffer is full. The aim of the work is to use machine learning to create a model that copies the behavior of the AQM PIα mechanism. We create training samples taking into account the self-similarity of network traffic. The model uses fractional Gaussian noise as a source. The quantitative analysis is based on simulation. During the tests, we analyzed the length of the queue, the number of rejected packets and waiting times in the queues. The proposed mechanism shows the usefulness of the Active Queue Management mechanism based on Neural Networks.

2011 ◽  
Vol 18 (3) ◽  
pp. 441-446 ◽  
Author(s):  
S. Benmehdi ◽  
N. Makarava ◽  
N. Benhamidouche ◽  
M. Holschneider

Abstract. The aim of this paper is to estimate the Hurst parameter of Fractional Gaussian Noise (FGN) using Bayesian inference. We propose an estimation technique that takes into account the full correlation structure of this process. Instead of using the integrated time series and then applying an estimator for its Hurst exponent, we propose to use the noise signal directly. As an application we analyze the time series of the Nile River, where we find a posterior distribution which is compatible with previous findings. In addition, our technique provides natural error bars for the Hurst exponent.


Fractals ◽  
1995 ◽  
Vol 03 (04) ◽  
pp. 785-798 ◽  
Author(s):  
MURAD S. TAQQU ◽  
VADIM TEVEROVSKY ◽  
WALTER WILLINGER

Various methods for estimating the self-similarity parameter and/or the intensity of long-range dependence in a time series are available. Some are more reliable than others. To discover the ones that work best, we apply the different methods to simulated sequences of fractional Gaussian noise and fractional ARIMA (0, d, 0). We also provide here a theoretical justification for the method of residuals of regression.


Author(s):  
Viana C. C. Hilquias ◽  
I. S. Zaryadov ◽  
V. V. Tsurlukov ◽  
T. A. Milovanova ◽  
E. V. Bogdanova ◽  
...  

2016 ◽  
Vol 26 (4) ◽  
pp. 777-789 ◽  
Author(s):  
Adam Domański ◽  
Joanna Domańska ◽  
Tadeusz Czachórski ◽  
Jerzy Klamka

AbstractIn this paper the performance of a fractional order PI controller is compared with that of RED, a well-known active queue management (AQM) mechanism. The article uses fluid flow approximation and discrete-event simulation to investigate the influence of the AQM policy on the packet loss probability, the queue length and its variability. The impact of self-similar traffic is also considered.


2005 ◽  
Vol 28 (5) ◽  
pp. 540-549 ◽  
Author(s):  
Bin Wang ◽  
Badri Kasthurirangan ◽  
Jun Xu

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