In the recent study of network traffic,it is shown that the traffic flow presents both periodic and self-similar characteristics.Due to these two features,the short-term forecast of network traffic cannot be accurately fit in either autoregressive integrated moving average(ARIMA) models which is sui...Intelligent Information Technology Application Association4Vol.55-5
With service types and requirements of broadband satellite internet continuously increasing, improvi...
Network traffic is a significantly important parameter for network traffic engineering, while it hol...
The main aim of the research was to produce the short-term forecasts of network traffic loads by mea...
in the recent study of network traffic, it is shown that the traffic flow presents both periodic and...
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...
Theses deals with network traffic modeling focused on elaboration by time series analysis. The natur...
Internet traffic modelling and forecasting approaches have been studied and developed for more than ...
The network traffic prediction plays a fundamental role in network design, management, control and o...
The mobile traffic in cellular networks is increasing in a steady rate as we go intoa future where w...
Abstract—Properties of heterogeneous network traffic have been investi-gated from different aspects,...
In this paper, traffic prediction models based on chaos theory are studied and compared with FARIMA ...
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...
Trajectory data play an important role in analyzing real world appli-cations that involve movement f...
With service types and requirements of broadband satellite internet continuously increasing, improvi...
Network traffic is a significantly important parameter for network traffic engineering, while it hol...
The main aim of the research was to produce the short-term forecasts of network traffic loads by mea...
in the recent study of network traffic, it is shown that the traffic flow presents both periodic and...
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...
Theses deals with network traffic modeling focused on elaboration by time series analysis. The natur...
Internet traffic modelling and forecasting approaches have been studied and developed for more than ...
The network traffic prediction plays a fundamental role in network design, management, control and o...
The mobile traffic in cellular networks is increasing in a steady rate as we go intoa future where w...
Abstract—Properties of heterogeneous network traffic have been investi-gated from different aspects,...
In this paper, traffic prediction models based on chaos theory are studied and compared with FARIMA ...
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...
Trajectory data play an important role in analyzing real world appli-cations that involve movement f...
With service types and requirements of broadband satellite internet continuously increasing, improvi...
Network traffic is a significantly important parameter for network traffic engineering, while it hol...
The main aim of the research was to produce the short-term forecasts of network traffic loads by mea...