In last years new procedures to generate Internet-like topologies have been proposed, stemming from the evidence of a power-law behavior of real networks. Realistic networks generators are necessary for simulation and performance evaluation of data communication systems. Assuming a simple loss model for the links, the present investigation shows that the adoption of a specific topological model for the Internet graph (here, the Waxman or the Barabási-Albert model) may affect, to a certain extent, the estimates of the loss probabilities for end-to-end communications obtained by simulation (e.g. via NS-2 package).

THE INFLUENCE OF NETWORK TOPOLOGICAL MODELS ON THE PREDICTION OF END-TO-END LOSS PROBABILITIES

ADDESSO, PAOLO;LONGO, Maurizio;POSTIGLIONE, Fabio
2005

Abstract

In last years new procedures to generate Internet-like topologies have been proposed, stemming from the evidence of a power-law behavior of real networks. Realistic networks generators are necessary for simulation and performance evaluation of data communication systems. Assuming a simple loss model for the links, the present investigation shows that the adoption of a specific topological model for the Internet graph (here, the Waxman or the Barabási-Albert model) may affect, to a certain extent, the estimates of the loss probabilities for end-to-end communications obtained by simulation (e.g. via NS-2 package).
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/1058222
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