Add to ORKGExisting analytical models are not adequate for a wide class of traffic scenarios in modern telecommunication networks with self-similar data flows. For purpose to define which traffic distribution should be utilized when modelling networks with these traffic patterns maximum entropy method is applied to derive unique solution for packet arrivals distribution. For testing self-similar properties of obtained distribution simulation results have been used
Simulation modelling is carried out, which allows adequate describing the traffic of multiservice ne...
We state and prove the following key mathematical result in self-similar traffic modeling: the super...
Mobile networks are experiencing exponential rates of subscriber growth worldwide. In addition they ...
Existing analytical models are not adequate for a wide class of traffic scenarios in modern telecomm...
The paper describes a new class of stochastic processes, which generalizes the concept of self-simi...
The self-similarity properties of the considered traffic were checked on different time scales obtai...
The paper describes a new class of stochastic processes, which generalizes the concept of self-simil...
The paper describes a new class of stochastic processes, which generalizes the concept of self-simil...
Abstract – It is well known nowadays, that packet network traffic has the self-similar nature [4], a...
This paper is devoted to simulations the networks with self-similar traffic. The self-similarity in ...
It is widely known, that in our days traffic in computer networks mostly is self-similar (fractal).U...
There is a growing evidence that aggregated traffic in a variety of network, with different extent ...
In order to closely simulate the real network scenario thereby verify the effectiveness of protocol ...
Empirical studies have shown that self-similar traffic models may better describe traffic in many of...
Self-similar (or fractal) stochastic processes have been proposed as more accurate models of certain...
Simulation modelling is carried out, which allows adequate describing the traffic of multiservice ne...
We state and prove the following key mathematical result in self-similar traffic modeling: the super...
Mobile networks are experiencing exponential rates of subscriber growth worldwide. In addition they ...
Existing analytical models are not adequate for a wide class of traffic scenarios in modern telecomm...
The paper describes a new class of stochastic processes, which generalizes the concept of self-simi...
The self-similarity properties of the considered traffic were checked on different time scales obtai...
The paper describes a new class of stochastic processes, which generalizes the concept of self-simil...
The paper describes a new class of stochastic processes, which generalizes the concept of self-simil...
Abstract – It is well known nowadays, that packet network traffic has the self-similar nature [4], a...
This paper is devoted to simulations the networks with self-similar traffic. The self-similarity in ...
It is widely known, that in our days traffic in computer networks mostly is self-similar (fractal).U...
There is a growing evidence that aggregated traffic in a variety of network, with different extent ...
In order to closely simulate the real network scenario thereby verify the effectiveness of protocol ...
Empirical studies have shown that self-similar traffic models may better describe traffic in many of...
Self-similar (or fractal) stochastic processes have been proposed as more accurate models of certain...
Simulation modelling is carried out, which allows adequate describing the traffic of multiservice ne...
We state and prove the following key mathematical result in self-similar traffic modeling: the super...
Mobile networks are experiencing exponential rates of subscriber growth worldwide. In addition they ...