Approximation to a Behavioral Model for Estimating Traffic Aggregation Scenarios
Alberto E. Garcia (University of Cantabria, Spain)
Klaus D. Hackbarth (University of Cantabria, Spain)
Abstract: This article provides a comparison among different methods for estimating the aggregation of Internet traffic resulting from different users, network-access types and corresponding services. Some approximate models usually used as isolated methods are combined with a temporally scaled ON-OFF model with binomial approximations. The aggregation problem is solved using a new form of parameterization based on the composition of the source traffic accordingly to the concrete characteristics of the users, the accesses and the services. This is a new concept, called CASUAL, included within an overall network planning methodology for the design and dimensioning of Next Generation Internet.
Keywords: network planning, network scenario, traffic modeling
Categories: C.2.1, C.4