Parsimonious Network Traffic Modeling By Transformed ARMA Models

Parsimonious Network Traffic Modeling By Transformed ARMA Models

Generating synthetic data traffic, which statistically resembles its recorded counterpart is one of the main goals of network traffic modeling. Equivalently, one or several random processes shall be created, exhibiting multiple prescribed statistical measures. In this paper, we present a framework e...

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Bibliographic Details
Main Authors: Markus Laner, Philipp Svoboda, Markus Rupp
Format: Article
Language:English
Published: IEEE 2014-01-01
Series:IEEE Access
Subjects:
Traffic modeling
transformed Gaussian
ARMA model
parsimoniousness
Online Access:https://ieeexplore.ieee.org/document/6710106/

Internet

https://ieeexplore.ieee.org/document/6710106/

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