We model and simulate stochastic traffic based on two established statistics: marginal distribution and autocorrelation function. Although apparently equivalent to each other in these aspects, the three different synthetic models produce notably different behavior in a G/D/1/<FONT FACE="Symbol">¥</FONT> queue. As an alternative modeling strategy, we measure the log-moment generating function of the synthetic models. Our results indicate that recent works related to Effective Bandwidth functions may provide the discriminatory statistic required to explain the noted inconsistency
This thesis studies the effect of the traffic bursts in the queue. Knowledge of the queueing behavio...
The article represents a practical approach to the problem of modeling stochastic features of Intern...
Modeling Internet traffic data with the inherent condition of concurrent arrival of packets requires...
We are developing a new approach to traffic characterization motivated by the traffic-queue analysis...
The paper presents an extended simulation study aimed to the evaluation of the impact on queueing pe...
We model and simulate stochastic traffic based on two established statistics: marginal distribution ...
Measurement-based traffic characterization has come to acquire a great deal of importance in high-sp...
The self-similarity properties of the considered traffic were checked on different time scales obtai...
Getting good statistical models of traffic on network links is a well-known, often-studied problem. ...
Getting good statistical models of traffic on network links is a well-known, often-studied problem. ...
We examine the impact of network traffic dependencies on queueing performance in the context of a po...
Modeling Internet traffic data with the inherent condition of concurrent arrival of packets requires...
We consider a congested traffic network where users behave according to the Wardrop equilibrium prin...
In this paper, we consider parsimonious Gaussian and Stable (heavy-tailed) models, which best captur...
In traffic models certain presumptions are often made to simplify the complex systems that rule the ...
This thesis studies the effect of the traffic bursts in the queue. Knowledge of the queueing behavio...
The article represents a practical approach to the problem of modeling stochastic features of Intern...
Modeling Internet traffic data with the inherent condition of concurrent arrival of packets requires...
We are developing a new approach to traffic characterization motivated by the traffic-queue analysis...
The paper presents an extended simulation study aimed to the evaluation of the impact on queueing pe...
We model and simulate stochastic traffic based on two established statistics: marginal distribution ...
Measurement-based traffic characterization has come to acquire a great deal of importance in high-sp...
The self-similarity properties of the considered traffic were checked on different time scales obtai...
Getting good statistical models of traffic on network links is a well-known, often-studied problem. ...
Getting good statistical models of traffic on network links is a well-known, often-studied problem. ...
We examine the impact of network traffic dependencies on queueing performance in the context of a po...
Modeling Internet traffic data with the inherent condition of concurrent arrival of packets requires...
We consider a congested traffic network where users behave according to the Wardrop equilibrium prin...
In this paper, we consider parsimonious Gaussian and Stable (heavy-tailed) models, which best captur...
In traffic models certain presumptions are often made to simplify the complex systems that rule the ...
This thesis studies the effect of the traffic bursts in the queue. Knowledge of the queueing behavio...
The article represents a practical approach to the problem of modeling stochastic features of Intern...
Modeling Internet traffic data with the inherent condition of concurrent arrival of packets requires...