Theses deals with network traffic modeling focused on elaboration by time series analysis. The nature of network traffic is discussed above all http traffic. First three chapters are theoretical, which describes time series and basic models, linear AR, MA, ARMA, ARIMA and nonlinear ARCH. Other chapters define terms like self-similarity and long range dependence. It is demonstrated a failure of conventional models which cannot capture these specific properties of network data traffic. On the basis of study in chapter 6. is closely described the combined ARIMA/GARCH model and its parameter estimation procedure. Applied part of this theses deals with procedure of estimation and fitting the estimation model to observed network traffic. After an...
This paper attempts to characterize and model backbone network traffic, using a small number of stat...
This bachelor's thesis is focused on analysis of network traffic and its modeling. In the thesis, th...
Abstract — Short period prediction is a relevant task for many network applications. Tuning the para...
This paper presents an approach for a network traffic characterization by using statistical techniqu...
Traffic behavior in a large-scale network can be viewed as a complicated non-linear system, so it is...
The variety of communication services and the growing number of different sensors with the appearanc...
This paper presents an approach for a network traffic characterization by using statistical techniqu...
A time-series data analysis and prediction tool for learning the network traffic usage data is very ...
The aim of this thesis was to practically use theoretical knowledge of the semestral work. The scope...
In the recent study of network traffic,it is shown that the traffic flow presents both periodic and ...
This paper presents the results of fitting stochastic model into real network traffic. Accurate mode...
The network traffic prediction plays a fundamental role in network design, management, control and o...
The self-similarity properties of the considered traffic were checked on different time scales obtai...
This thesis is considering with network traffic analysis and prediction of real networks default ser...
With the rapid development of the internet it has converted the world into a global village and now ...
This paper attempts to characterize and model backbone network traffic, using a small number of stat...
This bachelor's thesis is focused on analysis of network traffic and its modeling. In the thesis, th...
Abstract — Short period prediction is a relevant task for many network applications. Tuning the para...
This paper presents an approach for a network traffic characterization by using statistical techniqu...
Traffic behavior in a large-scale network can be viewed as a complicated non-linear system, so it is...
The variety of communication services and the growing number of different sensors with the appearanc...
This paper presents an approach for a network traffic characterization by using statistical techniqu...
A time-series data analysis and prediction tool for learning the network traffic usage data is very ...
The aim of this thesis was to practically use theoretical knowledge of the semestral work. The scope...
In the recent study of network traffic,it is shown that the traffic flow presents both periodic and ...
This paper presents the results of fitting stochastic model into real network traffic. Accurate mode...
The network traffic prediction plays a fundamental role in network design, management, control and o...
The self-similarity properties of the considered traffic were checked on different time scales obtai...
This thesis is considering with network traffic analysis and prediction of real networks default ser...
With the rapid development of the internet it has converted the world into a global village and now ...
This paper attempts to characterize and model backbone network traffic, using a small number of stat...
This bachelor's thesis is focused on analysis of network traffic and its modeling. In the thesis, th...
Abstract — Short period prediction is a relevant task for many network applications. Tuning the para...