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
2005-01-01

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).
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/1058222
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact