Realistic networks generators are necessary for simulation and performance evaluation of data communication systems. Such an aspect has driven the collection and the analysis of data on the Internet large-scale structure. The evidence of a power-law behavior of real networks has stimulated the introduction of new procedures to generate Internet-like topologies. Assuming a simple loss model for the links, this paper analyses how the prediction of the loss probabilities during communications obtained by simulation can be influenced by the adoption of a specific topological model for the Internet graph (here, the Waxman or the Barabasi-Albert model), given a average node distance in terms of hops.
|Titolo:||End-to-End Loss Probabilities in Different Internet-like Networks with a Given Average Hop Count|
|Autori interni:||LONGO, Maurizio|
|Data di pubblicazione:||2007|
|Appare nelle tipologie:||4.1.2 Proceedings con ISBN|