Approximation to a Behavioral Model for EstimatingTraffic Aggregation Scenarios

This article provides a comparison among different methods for estimating theaggregation of Internet traffic resulting from different users, network-access types andcorresponding services. Some approximate models usually used as isolated methods arecombined with a temporally scaled ON-OFF model with binomial approximations. Theaggregation problem is solved using a new form of parameterization based on the compositionof the source traffic accordingly to the concrete characteristics of the users, the accesses and theservices. This is a new concept, called CASUAL, included within an overall network planningmethodology for the design and dimensioning of Next Generation Internet