NTPsec

A-ntpsec-12-hour-stats

Report generated: Sat Jul 27 07:05:30 2024 UTC
Start Time: Fri Jul 26 19:05:29 2024 UTC
End Time: Sat Jul 27 07:05:29 2024 UTC
Report published: Sat Jul 27 12:05:36 AM 2024 PDT
Report Period: 0.5 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 -2.593 -1.589 -1.143 0.108 1.055 1.378 2.071 2.198 2.967 0.656 0.060 µs -3.861 10.05
Local Clock Frequency Offset -493.332 -487.350 -469.971 -326.340 -273.331 -272.446 -272.018 196.640 214.904 63.092 -344.524 ppb -289.9 2016

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 0.388 0.482 0.565 0.817 1.159 1.312 1.686 0.594 0.830 0.184 0.834 µs 55.45 242

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 156.000 190.000 216.000 312.000 430.000 488.000 603.000 214.000 298.000 64.628 315.616 10e-12 70.69 328.5

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 -2.593 -1.589 -1.143 0.108 1.055 1.378 2.071 2.198 2.967 0.656 0.060 µs -3.861 10.05

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 -493.332 -487.350 -469.971 -326.340 -273.331 -272.446 -272.018 196.640 214.904 63.092 -344.524 ppb -289.9 2016
Temp ZONE0 44.008 44.546 45.084 46.160 47.236 47.236 47.236 2.152 2.690 0.621 46.011 °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 6.000 7.000 8.000 9.000 11.000 12.000 12.000 3.000 5.000 1.050 9.429 nSat 532.3 4445
TDOP 0.490 0.530 0.580 0.790 1.200 1.390 3.230 0.620 0.860 0.223 0.846 32.62 154.4

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 -0.438 3.308 3.725 5.278 9.777 13.079 15.569 6.053 9.771 1.978 5.898 ms 15.27 59.25

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 2.666 2.666 2.666 4.534 4.989 4.989 4.989 2.323 2.323 0.720 4.194 ms 126.3 671.8

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 -1.637 -1.441 1.148 2.842 7.208 7.899 7.963 6.060 9.340 1.751 3.255 ms 3.759 10.55

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 -3.929 -3.532 -2.100 1.393 5.452 9.341 10.220 7.552 12.872 2.374 1.547 ms -0.4328 3.926

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 0.933 1.065 1.721 3.957 8.476 9.601 10.521 6.755 8.537 1.901 4.405 ms 7.037 20.94

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 5.161.184.148

peer offset 5.161.184.148 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 5.161.184.148 -11.607 -2.727 1.251 3.121 7.093 9.065 15.272 5.842 11.792 2.366 3.575 ms 0.8418 17.72

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 1.956 3.936 4.799 7.017 11.011 13.587 16.277 6.211 9.651 1.906 7.305 ms 32.41 132

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 2.373 2.810 3.520 5.410 9.651 10.380 10.625 6.131 7.570 1.876 5.879 ms 16.84 56.77

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 -0.818 -0.537 0.610 2.944 6.740 8.078 8.125 6.130 8.615 1.847 3.201 ms 3.136 8.138

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 0.217 0.621 1.527 3.600 7.037 8.998 9.289 5.510 8.377 1.755 3.967 ms 6.477 19.05

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) -134.100 -132.800 -132.148 -130.082 -128.066 -127.345 -126.663 4.082 5.455 1.258 -130.084 ms -1.137e+06 1.187e+08

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) -2.594 -1.590 -1.144 0.109 1.056 1.379 2.072 2.200 2.969 0.657 0.060 µs -3.86 10.04

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 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 0.347 0.684 1.383 9.455 18.363 22.589 24.762 16.980 21.905 5.791 9.381 ms 2.326 5.124

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 0.736 0.736 0.736 2.316 6.736 6.736 6.736 5.999 5.999 1.677 2.979 ms 3.624 9.411

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 0.455 0.561 0.901 9.617 20.264 25.670 26.625 19.363 25.109 6.317 9.701 ms 2.123 5.001

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 0.830 1.336 1.735 10.185 19.845 42.350 42.480 18.110 41.015 7.962 10.382 ms 2.858 11.44

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 0.474 0.531 1.320 10.822 19.690 23.927 24.317 18.370 23.396 6.218 10.291 ms 2.252 4.664

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 5.161.184.148

peer jitter 5.161.184.148 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 5.161.184.148 0.786 0.938 1.109 9.362 21.289 24.416 24.678 20.180 23.478 6.549 9.639 ms 1.803 3.858

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 0.525 0.640 1.396 9.999 20.809 22.832 26.764 19.413 22.193 6.212 9.307 ms 1.966 4.391

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 1.094 1.274 1.622 8.385 18.219 20.458 22.930 16.597 19.184 5.559 8.818 ms 2.311 5.023

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 0.812 1.102 1.542 11.994 24.680 48.632 48.665 23.139 47.529 8.577 11.768 ms 2.169 7.828

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 0.855 1.166 1.557 9.814 19.349 53.616 53.921 17.791 52.450 7.713 9.756 ms 3.249 17.75

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) 0.035 0.077 0.116 0.330 0.900 1.235 2.506 0.784 1.158 0.257 0.399 ms 3.327 11.39

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) 0.156 0.298 0.411 0.802 1.530 1.964 2.834 1.119 1.666 0.353 0.868 µs 8.525 27.97

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 -493.332 -487.350 -469.971 -326.340 -273.331 -272.446 -272.018 196.640 214.904 63.092 -344.524 ppb -289.9 2016
Local Clock Time Offset -2.593 -1.589 -1.143 0.108 1.055 1.378 2.071 2.198 2.967 0.656 0.060 µs -3.861 10.05
Local RMS Frequency Jitter 156.000 190.000 216.000 312.000 430.000 488.000 603.000 214.000 298.000 64.628 315.616 10e-12 70.69 328.5
Local RMS Time Jitter 0.388 0.482 0.565 0.817 1.159 1.312 1.686 0.594 0.830 0.184 0.834 µs 55.45 242
Server Jitter 162.159.200.1 0.347 0.684 1.383 9.455 18.363 22.589 24.762 16.980 21.905 5.791 9.381 ms 2.326 5.124
Server Jitter 162.159.200.123 0.736 0.736 0.736 2.316 6.736 6.736 6.736 5.999 5.999 1.677 2.979 ms 3.624 9.411
Server Jitter 169.229.128.134 0.455 0.561 0.901 9.617 20.264 25.670 26.625 19.363 25.109 6.317 9.701 ms 2.123 5.001
Server Jitter 173.11.101.155 0.830 1.336 1.735 10.185 19.845 42.350 42.480 18.110 41.015 7.962 10.382 ms 2.858 11.44
Server Jitter 192.12.19.20 0.474 0.531 1.320 10.822 19.690 23.927 24.317 18.370 23.396 6.218 10.291 ms 2.252 4.664
Server Jitter 5.161.184.148 0.786 0.938 1.109 9.362 21.289 24.416 24.678 20.180 23.478 6.549 9.639 ms 1.803 3.858
Server Jitter 50.116.42.84 0.525 0.640 1.396 9.999 20.809 22.832 26.764 19.413 22.193 6.212 9.307 ms 1.966 4.391
Server Jitter 52.10.183.132 1.094 1.274 1.622 8.385 18.219 20.458 22.930 16.597 19.184 5.559 8.818 ms 2.311 5.023
Server Jitter 64.142.122.36 0.812 1.102 1.542 11.994 24.680 48.632 48.665 23.139 47.529 8.577 11.768 ms 2.169 7.828
Server Jitter 66.220.9.122 0.855 1.166 1.557 9.814 19.349 53.616 53.921 17.791 52.450 7.713 9.756 ms 3.249 17.75
Server Jitter SHM(0) 0.035 0.077 0.116 0.330 0.900 1.235 2.506 0.784 1.158 0.257 0.399 ms 3.327 11.39
Server Jitter SHM(1) 0.156 0.298 0.411 0.802 1.530 1.964 2.834 1.119 1.666 0.353 0.868 µs 8.525 27.97
Server Offset 162.159.200.1 -0.438 3.308 3.725 5.278 9.777 13.079 15.569 6.053 9.771 1.978 5.898 ms 15.27 59.25
Server Offset 162.159.200.123 2.666 2.666 2.666 4.534 4.989 4.989 4.989 2.323 2.323 0.720 4.194 ms 126.3 671.8
Server Offset 169.229.128.134 -1.637 -1.441 1.148 2.842 7.208 7.899 7.963 6.060 9.340 1.751 3.255 ms 3.759 10.55
Server Offset 173.11.101.155 -3.929 -3.532 -2.100 1.393 5.452 9.341 10.220 7.552 12.872 2.374 1.547 ms -0.4328 3.926
Server Offset 192.12.19.20 0.933 1.065 1.721 3.957 8.476 9.601 10.521 6.755 8.537 1.901 4.405 ms 7.037 20.94
Server Offset 5.161.184.148 -11.607 -2.727 1.251 3.121 7.093 9.065 15.272 5.842 11.792 2.366 3.575 ms 0.8418 17.72
Server Offset 50.116.42.84 1.956 3.936 4.799 7.017 11.011 13.587 16.277 6.211 9.651 1.906 7.305 ms 32.41 132
Server Offset 52.10.183.132 2.373 2.810 3.520 5.410 9.651 10.380 10.625 6.131 7.570 1.876 5.879 ms 16.84 56.77
Server Offset 64.142.122.36 -0.818 -0.537 0.610 2.944 6.740 8.078 8.125 6.130 8.615 1.847 3.201 ms 3.136 8.138
Server Offset 66.220.9.122 0.217 0.621 1.527 3.600 7.037 8.998 9.289 5.510 8.377 1.755 3.967 ms 6.477 19.05
Server Offset SHM(0) -134.100 -132.800 -132.148 -130.082 -128.066 -127.345 -126.663 4.082 5.455 1.258 -130.084 ms -1.137e+06 1.187e+08
Server Offset SHM(1) -2.594 -1.590 -1.144 0.109 1.056 1.379 2.072 2.200 2.969 0.657 0.060 µs -3.86 10.04
TDOP 0.490 0.530 0.580 0.790 1.200 1.390 3.230 0.620 0.860 0.223 0.846 32.62 154.4
Temp ZONE0 44.008 44.546 45.084 46.160 47.236 47.236 47.236 2.152 2.690 0.621 46.011 °C
nSats 6.000 7.000 8.000 9.000 11.000 12.000 12.000 3.000 5.000 1.050 9.429 nSat 532.3 4445
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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