NTPsec

A-ntpsec-7-day-stats

Report generated: Mon Nov 3 02:11:09 2025 UTC
Start Time: Mon Oct 27 02:11:06 2025 UTC
End Time: Mon Nov 3 02:11:06 2025 UTC
Report published: Sun Nov 02 06:11:35 PM 2025 PST
Report Period: 7.0 days

Local Clock Time/Frequency Offsets

local offset plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Time Offset -3.882 -2.317 -1.226 0.063 0.987 1.434 5.450 2.213 3.751 0.690 0.005 µs -4.862 16.03
Local Clock Frequency Offset -448.654 -438.080 -395.782 -248.886 -118.088 -86.121 -60.638 277.694 351.959 87.710 -249.358 ppb -68.38 310.2

The time and frequency offsets between the ntpd calculated time and the local system clock. Showing frequency offset (red, in parts per million, scale on right) and the time offset (blue, in μs, scale on left). Quick changes in time offset will lead to larger frequency offsets.

These are fields 3 (time) and 4 (frequency) from the loopstats log file.



Local RMS Time Jitter

local jitter plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local RMS Time Jitter 0.241 0.403 0.487 0.836 1.420 1.685 2.664 0.933 1.282 0.289 0.880 µs 15.37 52

The RMS Jitter of the local clock offset. In other words, how fast the local clock offset is changing.

Lower is better. An ideal system would be a horizontal line at 0μs.

RMS jitter is field 5 in the loopstats log file.



Local RMS Frequency Jitter

local stability plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local RMS Frequency Jitter 99.000 154.000 184.000 306.000 511.000 595.000 1,677.000 327.000 441.000 102.370 321.653 10e-12 17.21 63.19

The RMS Frequency Jitter (aka wander) of the local clock's frequency. In other words, how fast the local clock changes frequency.

Lower is better. An ideal clock would be a horizontal line at 0ppm.

RMS Frequency Jitter is field 6 in the loopstats log file.



Local Clock Time Offset Histogram

local offset histogram plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Offset -3.882 -2.317 -1.226 0.063 0.987 1.434 5.450 2.213 3.751 0.690 0.005 µs -4.862 16.03

The clock offsets of the local clock as a histogram.

The Local Clock Offset is field 3 from the loopstats log file.



Local Temperatures

local temps plot

Local temperatures. These will be site-specific depending upon what temperature sensors you collect data from. Temperature changes affect the local clock crystal frequency and stability. The math of how temperature changes frequency is complex, and also depends on crystal aging. So there is no easy way to correct for it in software. This is the single most important component of frequency drift.

The Local Temperatures are from field 3 from the tempstats log file.



Local Frequency/Temp

local freq temps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset -448.654 -438.080 -395.782 -248.886 -118.088 -86.121 -60.638 277.694 351.959 87.710 -249.358 ppb -68.38 310.2
Temp ZONE0 44.008 45.084 45.084 47.236 48.312 48.850 49.388 3.228 3.766 0.972 46.847 °C

The frequency offsets and temperatures. Showing frequency offset (red, in parts per million, scale on right) and the temperatures.

These are field 4 (frequency) from the loopstats log file, and field 3 from the tempstats log file.



Local GPS

local gps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
nSats 7.000 8.000 8.000 10.000 13.000 13.000 14.000 5.000 5.000 1.283 10.099 nSat 345.5 2529
TDOP 0.470 0.500 0.550 0.800 1.200 1.470 1.740 0.650 0.970 0.204 0.836 39.97 165.2

Local GPS. The Time Dilution of Precision (TDOP) is plotted in blue. The number of visible satellites (nSat) is plotted in red.

TDOP is field 3, and nSats is field 4, from the gpsd log file. The gpsd log file is created by the ntploggps program.

TDOP is a dimensionless error factor. Smaller numbers are better. TDOP ranges from 1 (ideal), 2 to 5 (good), to greater than 20 (poor). Some GNSS receivers report TDOP less than one which is theoretically impossible.



Server Offsets

peer offsets plot

The offset of all refclocks and servers. This can be useful to see if offset changes are happening in a single clock or all clocks together.

Clock Offset is field 5 in the peerstats log file.



Server Offset 162.159.200.1

peer offset 162.159.200.1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 162.159.200.1 1.828 3.471 3.617 3.919 4.216 4.592 5.807 0.598 1.121 0.224 3.920 ms 4575 7.653e+04

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 162.159.200.123

peer offset 162.159.200.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 162.159.200.123 1.364 3.075 3.249 3.571 3.997 5.410 6.707 0.748 2.335 0.351 3.603 ms 824.4 8014

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 169.229.128.134

peer offset 169.229.128.134 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 169.229.128.134 -1.365 0.819 1.144 1.403 1.695 2.023 4.206 0.551 1.204 0.289 1.398 ms 66.63 319.5

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 173.11.101.155

peer offset 173.11.101.155 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 173.11.101.155 -6.144 -3.890 -3.226 -1.220 1.796 3.446 6.183 5.022 7.336 1.564 -1.048 ms -9.016 23.98

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 192.12.19.20

peer offset 192.12.19.20 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 192.12.19.20 -0.721 0.322 1.670 3.566 6.491 8.017 9.045 4.821 7.695 1.503 3.730 ms 8.267 25.01

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 5.161.191.31

peer offset 5.161.191.31 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 5.161.191.31 1.662 1.900 2.071 2.352 2.908 3.596 4.819 0.837 1.695 0.316 2.407 ms 312.9 2282

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 50.116.42.84

peer offset 50.116.42.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 50.116.42.84 0.877 1.784 2.063 2.578 3.244 3.756 5.640 1.181 1.972 0.407 2.605 ms 174.5 1059

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 52.10.183.132

peer offset 52.10.183.132 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 52.10.183.132 1.703 3.317 3.512 4.005 4.615 5.375 6.817 1.104 2.057 0.393 4.029 ms 821.9 7924

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 64.142.122.36

peer offset 64.142.122.36 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 64.142.122.36 -0.145 0.966 1.983 2.277 2.580 3.241 5.524 0.597 2.275 0.329 2.279 ms 226.5 1485

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 66.220.9.122

peer offset 66.220.9.122 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 66.220.9.122 -0.478 0.902 1.933 2.229 2.509 2.888 5.041 0.576 1.987 0.317 2.226 ms 235 1545

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset SHM(0)

peer offset SHM(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset SHM(0) -136.213 -135.237 -134.213 -130.845 -128.509 -127.890 -126.961 5.703 7.347 1.632 -130.942 ms -5.364e+05 4.36e+07

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset SHM(1)

peer offset SHM(1) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset SHM(1) -3.883 -2.318 -1.227 0.064 0.988 1.435 5.451 2.215 3.753 0.691 0.005 µs -4.859 16.01

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Jitters

peer jitters plot

The RMS Jitter of all refclocks and servers. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 162.159.200.1

peer jitter 162.159.200.1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 162.159.200.1 0.143 0.224 0.383 1.868 21.291 23.677 28.591 20.908 23.453 6.701 5.336 ms 0.8833 2.963

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 162.159.200.123

peer jitter 162.159.200.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 162.159.200.123 0.145 0.257 0.627 1.929 20.281 22.874 24.055 19.654 22.616 5.889 4.796 ms 1.161 3.838

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 169.229.128.134

peer jitter 169.229.128.134 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 169.229.128.134 0.094 0.213 0.394 2.005 20.787 23.379 39.883 20.393 23.166 6.435 5.108 ms 1.06 3.831

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 173.11.101.155

peer jitter 173.11.101.155 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 173.11.101.155 0.609 1.142 1.573 3.341 20.709 23.591 26.386 19.136 22.449 6.111 6.398 ms 1.583 4.137

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 192.12.19.20

peer jitter 192.12.19.20 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 192.12.19.20 0.084 0.195 0.352 1.897 20.435 22.907 30.830 20.083 22.711 6.527 5.318 ms 0.8566 2.856

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 5.161.191.31

peer jitter 5.161.191.31 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 5.161.191.31 0.000 0.241 0.691 2.061 14.801 17.035 21.743 14.110 16.795 4.389 4.132 ms 1.437 4.344

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 50.116.42.84

peer jitter 50.116.42.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 50.116.42.84 0.110 0.240 0.664 1.969 16.238 19.397 55.985 15.574 19.157 5.261 4.578 ms 1.564 8.34

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 52.10.183.132

peer jitter 52.10.183.132 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 52.10.183.132 0.129 0.249 0.648 2.183 19.930 23.003 30.973 19.283 22.754 6.407 5.653 ms 0.9568 2.999

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 64.142.122.36

peer jitter 64.142.122.36 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 64.142.122.36 0.111 0.200 0.395 2.082 20.636 23.317 24.816 20.241 23.118 6.460 5.328 ms 0.947 3.015

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 66.220.9.122

peer jitter 66.220.9.122 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 66.220.9.122 0.104 0.212 0.367 1.892 20.418 23.490 28.146 20.052 23.278 6.323 4.965 ms 0.9765 3.255

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter SHM(0)

peer jitter SHM(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter SHM(0) 0.019 0.054 0.101 0.449 1.154 1.550 2.604 1.052 1.496 0.330 0.514 ms 3.022 9.478

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter SHM(1)

peer jitter SHM(1) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter SHM(1) 0.078 0.245 0.343 0.760 1.778 2.516 5.299 1.435 2.271 0.468 0.870 µs 4.786 17.1

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset -448.654 -438.080 -395.782 -248.886 -118.088 -86.121 -60.638 277.694 351.959 87.710 -249.358 ppb -68.38 310.2
Local Clock Time Offset -3.882 -2.317 -1.226 0.063 0.987 1.434 5.450 2.213 3.751 0.690 0.005 µs -4.862 16.03
Local RMS Frequency Jitter 99.000 154.000 184.000 306.000 511.000 595.000 1,677.000 327.000 441.000 102.370 321.653 10e-12 17.21 63.19
Local RMS Time Jitter 0.241 0.403 0.487 0.836 1.420 1.685 2.664 0.933 1.282 0.289 0.880 µs 15.37 52
Server Jitter 162.159.200.1 0.143 0.224 0.383 1.868 21.291 23.677 28.591 20.908 23.453 6.701 5.336 ms 0.8833 2.963
Server Jitter 162.159.200.123 0.145 0.257 0.627 1.929 20.281 22.874 24.055 19.654 22.616 5.889 4.796 ms 1.161 3.838
Server Jitter 169.229.128.134 0.094 0.213 0.394 2.005 20.787 23.379 39.883 20.393 23.166 6.435 5.108 ms 1.06 3.831
Server Jitter 173.11.101.155 0.609 1.142 1.573 3.341 20.709 23.591 26.386 19.136 22.449 6.111 6.398 ms 1.583 4.137
Server Jitter 192.12.19.20 0.084 0.195 0.352 1.897 20.435 22.907 30.830 20.083 22.711 6.527 5.318 ms 0.8566 2.856
Server Jitter 5.161.191.31 0.000 0.241 0.691 2.061 14.801 17.035 21.743 14.110 16.795 4.389 4.132 ms 1.437 4.344
Server Jitter 50.116.42.84 0.110 0.240 0.664 1.969 16.238 19.397 55.985 15.574 19.157 5.261 4.578 ms 1.564 8.34
Server Jitter 52.10.183.132 0.129 0.249 0.648 2.183 19.930 23.003 30.973 19.283 22.754 6.407 5.653 ms 0.9568 2.999
Server Jitter 64.142.122.36 0.111 0.200 0.395 2.082 20.636 23.317 24.816 20.241 23.118 6.460 5.328 ms 0.947 3.015
Server Jitter 66.220.9.122 0.104 0.212 0.367 1.892 20.418 23.490 28.146 20.052 23.278 6.323 4.965 ms 0.9765 3.255
Server Jitter SHM(0) 0.019 0.054 0.101 0.449 1.154 1.550 2.604 1.052 1.496 0.330 0.514 ms 3.022 9.478
Server Jitter SHM(1) 0.078 0.245 0.343 0.760 1.778 2.516 5.299 1.435 2.271 0.468 0.870 µs 4.786 17.1
Server Offset 162.159.200.1 1.828 3.471 3.617 3.919 4.216 4.592 5.807 0.598 1.121 0.224 3.920 ms 4575 7.653e+04
Server Offset 162.159.200.123 1.364 3.075 3.249 3.571 3.997 5.410 6.707 0.748 2.335 0.351 3.603 ms 824.4 8014
Server Offset 169.229.128.134 -1.365 0.819 1.144 1.403 1.695 2.023 4.206 0.551 1.204 0.289 1.398 ms 66.63 319.5
Server Offset 173.11.101.155 -6.144 -3.890 -3.226 -1.220 1.796 3.446 6.183 5.022 7.336 1.564 -1.048 ms -9.016 23.98
Server Offset 192.12.19.20 -0.721 0.322 1.670 3.566 6.491 8.017 9.045 4.821 7.695 1.503 3.730 ms 8.267 25.01
Server Offset 5.161.191.31 1.662 1.900 2.071 2.352 2.908 3.596 4.819 0.837 1.695 0.316 2.407 ms 312.9 2282
Server Offset 50.116.42.84 0.877 1.784 2.063 2.578 3.244 3.756 5.640 1.181 1.972 0.407 2.605 ms 174.5 1059
Server Offset 52.10.183.132 1.703 3.317 3.512 4.005 4.615 5.375 6.817 1.104 2.057 0.393 4.029 ms 821.9 7924
Server Offset 64.142.122.36 -0.145 0.966 1.983 2.277 2.580 3.241 5.524 0.597 2.275 0.329 2.279 ms 226.5 1485
Server Offset 66.220.9.122 -0.478 0.902 1.933 2.229 2.509 2.888 5.041 0.576 1.987 0.317 2.226 ms 235 1545
Server Offset SHM(0) -136.213 -135.237 -134.213 -130.845 -128.509 -127.890 -126.961 5.703 7.347 1.632 -130.942 ms -5.364e+05 4.36e+07
Server Offset SHM(1) -3.883 -2.318 -1.227 0.064 0.988 1.435 5.451 2.215 3.753 0.691 0.005 µs -4.859 16.01
TDOP 0.470 0.500 0.550 0.800 1.200 1.470 1.740 0.650 0.970 0.204 0.836 39.97 165.2
Temp ZONE0 44.008 45.084 45.084 47.236 48.312 48.850 49.388 3.228 3.766 0.972 46.847 °C
nSats 7.000 8.000 8.000 10.000 13.000 13.000 14.000 5.000 5.000 1.283 10.099 nSat 345.5 2529
Summary as CSV file


Glossary:

frequency offset:
The difference between the ntpd calculated frequency and the local system clock frequency (usually in parts per million, ppm)
jitter, dispersion:
The short term change in a value. NTP measures Local Time Jitter, Refclock Jitter, and Server Jitter in seconds. Local Frequency Jitter is in ppm or ppb.
kurtosis, Kurt:
The kurtosis of a random variable X is the fourth standardized moment and is a dimension-less ratio. ntpviz uses the Pearson's moment coefficient of kurtosis. A normal distribution has a kurtosis of three. NIST describes a kurtosis over three as "heavy tailed" and one under three as "light tailed".
ms, millisecond:
One thousandth of a second = 0.001 seconds, 1e-3 seconds
mu, mean:
The arithmetic mean: the sum of all the values divided by the number of values. The formula for mu is: "mu = (∑xi) / N". Where xi denotes the data points and N is the number of data points.
ns, nanosecond:
One billionth of a second, also one thousandth of a microsecond, 0.000000001 seconds and 1e-9 seconds.
percentile:
The value below which a given percentage of values fall.
ppb, parts per billion:
Ratio between two values. These following are all the same: 1 ppb, one in one billion, 1/1,000,000,000, 0.000,000,001, 1e-9 and 0.000,000,1%
ppm, parts per million:
Ratio between two values. These following are all the same: 1 ppm, one in one million, 1/1,000,000, 0.000,001, and 0.000,1%
‰, parts per thousand:
Ratio between two values. These following are all the same: 1 ‰. one in one thousand, 1/1,000, 0.001, and 0.1%
refclock:
Reference clock, a local GPS module or other local source of time.
remote clock:
Any clock reached over the network, LAN or WAN. Also called a peer or server.
time offset:
The difference between the ntpd calculated time and the local system clock's time. Also called phase offset.
σ, sigma:
Sigma denotes the standard deviation (SD) and is centered on the arithmetic mean of the data set. The SD is simply the square root of the variance of the data set. Two sigma is simply twice the standard deviation. Three sigma is three times sigma. Smaller is better.
The formula for sigma is: "σ = √[ ∑(xi-mu)^2 / N ]". Where xi denotes the data points and N is the number of data points.
skewness, Skew:
The skewness of a random variable X is the third standardized moment and is a dimension-less ratio. ntpviz uses the Pearson's moment coefficient of skewness. Wikipedia describes it best: "The qualitative interpretation of the skew is complicated and unintuitive."
A normal distribution has a skewness of zero.
upstream clock:
Any server or reference clock used as a source of time.
µs, us, microsecond:
One millionth of a second, also one thousandth of a millisecond, 0.000,001 seconds, and 1e-6 seconds.



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