NTPsec

A-ntpsec-72-hour-stats

Report generated: Fri Oct 24 10:09:45 2025 UTC
Start Time: Tue Oct 21 10:09:44 2025 UTC
End Time: Fri Oct 24 10:09:44 2025 UTC
Report published: Fri Oct 24 03:10:05 AM 2025 PDT
Report Period: 3.0 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 -3.464 -2.342 -1.294 0.055 0.990 1.438 2.790 2.284 3.780 0.702 -0.007 µs -4.959 15.94
Local Clock Frequency Offset -379.242 -375.748 -346.207 -214.890 -105.637 -79.056 -76.355 240.570 296.692 67.240 -219.078 ppb -90.24 444.7

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 0.239 0.430 0.509 0.849 1.417 1.659 2.215 0.908 1.229 0.282 0.891 µs 17.34 59.43

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 103.000 163.000 191.000 311.000 517.000 597.000 813.000 326.000 434.000 101.067 327.968 10e-12 18.7 64.47

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 -3.464 -2.342 -1.294 0.055 0.990 1.438 2.790 2.284 3.780 0.702 -0.007 µs -4.959 15.94

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 -379.242 -375.748 -346.207 -214.890 -105.637 -79.056 -76.355 240.570 296.692 67.240 -219.078 ppb -90.24 444.7
Temp ZONE0 45.084 45.622 46.160 47.236 48.312 48.850 49.388 2.152 3.228 0.794 47.247 °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 1.287 10.099 nSat 342.1 2497
TDOP 0.470 0.490 0.550 0.800 1.200 1.460 1.770 0.650 0.970 0.205 0.836 39.28 162.1

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 2.414 2.523 2.795 3.337 4.134 4.278 4.544 1.339 1.755 0.495 3.449 ms 231.2 1491

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 0.831 2.030 2.285 3.171 3.970 4.250 6.563 1.684 2.220 0.619 3.145 ms 80.79 390.4

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 -1.239 0.996 1.140 1.415 1.636 1.875 2.078 0.496 0.879 0.211 1.396 ms 190 1140

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 -6.690 -4.289 -3.177 -1.409 1.585 3.305 4.954 4.762 7.594 1.524 -1.205 ms -10.36 28.26

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 -0.877 1.375 1.729 3.059 4.002 4.210 4.436 2.273 2.835 0.766 2.945 ms 30.89 110.2

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 1.810 1.878 1.985 2.359 2.814 2.939 3.061 0.829 1.061 0.229 2.382 ms 861 8375

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 0.341 0.519 0.864 2.448 2.961 3.182 4.926 2.097 2.662 0.537 2.358 ms 47.37 185

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 2.682 3.272 3.515 3.866 4.384 4.778 6.341 0.869 1.506 0.292 3.891 ms 1919 2.422e+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 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 -22.349 1.840 2.025 2.277 2.511 2.736 3.239 0.486 0.896 0.847 2.253 ms -18.2 646.2

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 -0.026 1.860 1.998 2.244 2.500 2.755 3.462 0.502 0.894 0.214 2.241 ms 873 8483

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) -136.087 -135.102 -134.183 -130.841 -128.458 -127.957 -126.652 5.724 7.145 1.620 -130.924 ms -5.476e+05 4.481e+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) -3.465 -2.343 -1.295 0.056 0.991 1.439 2.791 2.286 3.782 0.703 -0.007 µs -4.957 15.92

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 0.162 0.214 0.305 1.573 22.307 22.767 23.944 22.001 22.553 7.066 5.456 ms 0.6464 2.418

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 0.175 0.230 0.379 1.783 19.783 23.051 27.749 19.404 22.820 6.494 5.073 ms 0.8541 2.971

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 0.118 0.206 0.322 1.834 20.530 23.584 33.245 20.208 23.379 6.459 4.916 ms 0.9911 3.725

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 0.518 1.103 1.578 3.327 20.562 24.270 35.316 18.983 23.167 6.259 6.370 ms 1.622 4.646

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 0.116 0.210 0.295 1.737 20.231 22.545 38.484 19.936 22.335 6.309 4.945 ms 0.9546 3.57

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 0.284 0.310 0.473 1.792 16.337 18.931 20.040 15.864 18.621 4.665 3.981 ms 1.38 4.608

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 0.143 0.238 0.371 1.801 15.192 18.979 20.803 14.821 18.740 5.144 4.508 ms 0.9577 2.938

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 0.126 0.231 0.346 1.932 20.264 22.040 25.921 19.918 21.809 6.676 5.713 ms 0.733 2.398

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 0.121 0.200 0.297 1.758 19.771 23.281 39.523 19.474 23.081 6.299 4.851 ms 0.9945 3.8

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 0.098 0.211 0.282 1.777 18.661 22.149 26.029 18.379 21.939 5.842 4.587 ms 0.9922 3.456

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) 0.022 0.057 0.104 0.440 1.126 1.565 2.150 1.022 1.508 0.325 0.508 ms 3.045 9.463

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) 0.077 0.259 0.349 0.779 1.826 2.557 3.672 1.477 2.298 0.474 0.891 µs 4.8 16.4

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 -379.242 -375.748 -346.207 -214.890 -105.637 -79.056 -76.355 240.570 296.692 67.240 -219.078 ppb -90.24 444.7
Local Clock Time Offset -3.464 -2.342 -1.294 0.055 0.990 1.438 2.790 2.284 3.780 0.702 -0.007 µs -4.959 15.94
Local RMS Frequency Jitter 103.000 163.000 191.000 311.000 517.000 597.000 813.000 326.000 434.000 101.067 327.968 10e-12 18.7 64.47
Local RMS Time Jitter 0.239 0.430 0.509 0.849 1.417 1.659 2.215 0.908 1.229 0.282 0.891 µs 17.34 59.43
Server Jitter 162.159.200.1 0.162 0.214 0.305 1.573 22.307 22.767 23.944 22.001 22.553 7.066 5.456 ms 0.6464 2.418
Server Jitter 162.159.200.123 0.175 0.230 0.379 1.783 19.783 23.051 27.749 19.404 22.820 6.494 5.073 ms 0.8541 2.971
Server Jitter 169.229.128.134 0.118 0.206 0.322 1.834 20.530 23.584 33.245 20.208 23.379 6.459 4.916 ms 0.9911 3.725
Server Jitter 173.11.101.155 0.518 1.103 1.578 3.327 20.562 24.270 35.316 18.983 23.167 6.259 6.370 ms 1.622 4.646
Server Jitter 192.12.19.20 0.116 0.210 0.295 1.737 20.231 22.545 38.484 19.936 22.335 6.309 4.945 ms 0.9546 3.57
Server Jitter 5.161.191.31 0.284 0.310 0.473 1.792 16.337 18.931 20.040 15.864 18.621 4.665 3.981 ms 1.38 4.608
Server Jitter 50.116.42.84 0.143 0.238 0.371 1.801 15.192 18.979 20.803 14.821 18.740 5.144 4.508 ms 0.9577 2.938
Server Jitter 52.10.183.132 0.126 0.231 0.346 1.932 20.264 22.040 25.921 19.918 21.809 6.676 5.713 ms 0.733 2.398
Server Jitter 64.142.122.36 0.121 0.200 0.297 1.758 19.771 23.281 39.523 19.474 23.081 6.299 4.851 ms 0.9945 3.8
Server Jitter 66.220.9.122 0.098 0.211 0.282 1.777 18.661 22.149 26.029 18.379 21.939 5.842 4.587 ms 0.9922 3.456
Server Jitter SHM(0) 0.022 0.057 0.104 0.440 1.126 1.565 2.150 1.022 1.508 0.325 0.508 ms 3.045 9.463
Server Jitter SHM(1) 0.077 0.259 0.349 0.779 1.826 2.557 3.672 1.477 2.298 0.474 0.891 µs 4.8 16.4
Server Offset 162.159.200.1 2.414 2.523 2.795 3.337 4.134 4.278 4.544 1.339 1.755 0.495 3.449 ms 231.2 1491
Server Offset 162.159.200.123 0.831 2.030 2.285 3.171 3.970 4.250 6.563 1.684 2.220 0.619 3.145 ms 80.79 390.4
Server Offset 169.229.128.134 -1.239 0.996 1.140 1.415 1.636 1.875 2.078 0.496 0.879 0.211 1.396 ms 190 1140
Server Offset 173.11.101.155 -6.690 -4.289 -3.177 -1.409 1.585 3.305 4.954 4.762 7.594 1.524 -1.205 ms -10.36 28.26
Server Offset 192.12.19.20 -0.877 1.375 1.729 3.059 4.002 4.210 4.436 2.273 2.835 0.766 2.945 ms 30.89 110.2
Server Offset 5.161.191.31 1.810 1.878 1.985 2.359 2.814 2.939 3.061 0.829 1.061 0.229 2.382 ms 861 8375
Server Offset 50.116.42.84 0.341 0.519 0.864 2.448 2.961 3.182 4.926 2.097 2.662 0.537 2.358 ms 47.37 185
Server Offset 52.10.183.132 2.682 3.272 3.515 3.866 4.384 4.778 6.341 0.869 1.506 0.292 3.891 ms 1919 2.422e+04
Server Offset 64.142.122.36 -22.349 1.840 2.025 2.277 2.511 2.736 3.239 0.486 0.896 0.847 2.253 ms -18.2 646.2
Server Offset 66.220.9.122 -0.026 1.860 1.998 2.244 2.500 2.755 3.462 0.502 0.894 0.214 2.241 ms 873 8483
Server Offset SHM(0) -136.087 -135.102 -134.183 -130.841 -128.458 -127.957 -126.652 5.724 7.145 1.620 -130.924 ms -5.476e+05 4.481e+07
Server Offset SHM(1) -3.465 -2.343 -1.295 0.056 0.991 1.439 2.791 2.286 3.782 0.703 -0.007 µs -4.957 15.92
TDOP 0.470 0.490 0.550 0.800 1.200 1.460 1.770 0.650 0.970 0.205 0.836 39.28 162.1
Temp ZONE0 45.084 45.622 46.160 47.236 48.312 48.850 49.388 2.152 3.228 0.794 47.247 °C
nSats 7.000 8.000 8.000 10.000 13.000 13.000 14.000 5.000 5.000 1.287 10.099 nSat 342.1 2497
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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