We have investigated dynamics of the Internet performance through the assessment of scaling features of a network ICMP echo\nmechanism or pinging. Time series of round-trip times (RTT) from the host computer to 5 destination hosts and back, recorded\nduring three consecutive days and nights, have been used. To assess correlation and scaling features of network echo mechanism,\nwe used method of detrended fluctuation analysis (DFA) for RTTdata sets. It was shown that for different, 10 minute long periods\nof day and night observations, RTTdata sets mostly fluctuate within a narrow range, though sometimes we observe strong sharp\nspikes. RTT variations mostly reveal persistent behavior. DFA fluctuation curves often are characterized by crossovers indication\nstronger or lesser changes in the dynamics of network performance. Distribution function of DFA scaling exponents of considered\nRTT time series mostly was asymmetric with long tail on the right hand side. Dynamical changes occurring in the scaling features\nof Internet network as assessed by RTT fluctuations do not depend on the location of the host and destination nodes. Larger delays\nin round-trip time responses make the scaling behavior of the RTT series complicated and strongly influence their long range\ncorrelation features.
Loading....