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Measurements and data analysis have proved very effective in the study of theInternet's physical fabric and have shown heterogeneities and statisticalfluctuations extending over several orders of magnitude. Here we analyzeperformance measurements obtained by the PingER monitoring infrastructure. Wefocus on the relationship between the Round-Trip-Time (RTT) and thegeographical distance. We define dimensionless variables that containinformation on the quality of Internet connections finding that theirprobability distributions are characterized by a slow power-law decaysignalling the presence of scale-free features. These results point out theextreme heterogeneity of the Internet since the transmission speed betweendifferent points of the network exhibits very large fluctuations. Theassociated scaling exponents appear to have fairly stable values in differentdata sets and thus define an invariant characteristic of the Internet thatmight be used in the future as a benchmark of the overall state of ``health''of the Internet. The observed scale-free character should be incorporated inmodels and analysis of Internet performance

Scale-free behavior of the Internet global performance