Modeling action and strategy Internet-games traffic

Characterizing the traffic generated by common user applications could prove useful in the design of mechanisms for medium access, admission control, etc. As an example, centralized algorithms that use knowledge of traffic patterns to schedule transmission of stations in access networks could be developed efficiently utilize network resources. Traffic characterization can be done in two steps. In the first step the applications that use network resources are identified, as well as the percentage of time they are active. The second step describes the traffic generation pattern of an active application. In this work we analyze network traces generated by four Internet game applications in order to characterize their traffic generation pattern. This characterization is achieved by obtaining a statistical description of different parameters associated with a traffic model. The model is shown to be robust, that is, the parameters of the model can be characterized using the same probability distributions independent of the application. It is shown that the gamma and uniform distributions can be used to characterize the random parameters of the model. Observed values of the parameter moments are presented.