Goodness-of-fit techniques
Why we don't know how to simulate the Internet
Proceedings of the 29th conference on Winter simulation
A quantitative comparison of graph-based models for Internet topology
IEEE/ACM Transactions on Networking (TON)
On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
On the constancy of internet path properties
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Influence of Network Topology on Protocol Simulation
ICN '01 Proceedings of the First International Conference on Networking-Part 1
PATHS IN THE SIMPLE RANDOM GRAPH AND THE WAXMAN GRAPH
Probability in the Engineering and Informational Sciences
The Diameter of a Scale-Free Random Graph
Combinatorica
Evolution and Structure of the Internet: A Statistical Physics Approach
Evolution and Structure of the Internet: A Statistical Physics Approach
| Hi-index | 0.00 |
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 Barabási-Albert model), given a average node distance in terms of hops.