Statistical research and modeling network traffic

Network-Wide Statistical Modeling, Prediction, and Monitoring of Computer Traffic

Computer network use is becoming increasingly widespread, both in terms of number of users and variety of applications. In order to provide consistently high quality service, network engineers and other professionals must monitor several aspects of the network, including the traffic intensity on the links that comprise the network. As networks grow, this type of monitoring has potential to beco...

Network–wide Statistical Modeling and Prediction of Computer Traffic

Computer network use is becoming increasingly widespread, both in terms of number of users and variety of applications. In order to provide consistently high quality service, network engineers and other professionals must monitor several aspects of the network, including the traffic intensity on the links that comprise the network. As networks grow, this type of monitoring has potential to beco...

Statistical Model of Network Traffic

Statistical Models of Network Traffic

Model-based approaches have been applied successfully to a wide range of tasks such as specification, simulation, testing, and diagnosis. But one bottleneck often prevents the introduction of these ideas: Manual modeling is a non-trivial, time-consuming task. Automatically deriving models by observing and analyzing running systems is one possible way to amend this bottleneck. To derive a model ...

Network Traffic Modeling

From the viewpoint of a service provider, demands on the network are not entirely predictable. Traffic modeling is the problem of representing our understanding of dynamic demands by stochastic processes. Accurate traffic models are necessary for service providers to properly maintain quality of service. Many traffic models have been developed based on traffic measurement data. This chapter giv...