NTPsec

A-ntpsec-1-hour-stats

Report generated: Thu Nov 21 06:03:04 2024 UTC
Start Time: Thu Nov 21 05:02:36 2024 UTC
End Time: Thu Nov 21 06:03:04 2024 UTC
Report published: Wed Nov 20 10:03:23 PM 2024 PST
Report Period: 0.0 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 -1.977 -1.625 -1.101 0.086 0.882 1.068 1.210 1.983 2.693 0.601 0.003 µs -4.48 11.93
Local Clock Frequency Offset -556.015 -555.710 -555.130 -553.879 -550.247 -549.896 -549.652 4.883 5.814 1.602 -553.223 ppb -4.154e+07 1.439e+10

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 0.526 0.540 0.614 0.833 1.145 1.311 1.492 0.531 0.771 0.162 0.853 µs 90.14 449.6

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 191.000 204.000 218.000 287.000 379.000 412.000 435.000 161.000 208.000 49.124 291.640 10e-12 135.6 751.4

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 -1.977 -1.625 -1.101 0.086 0.882 1.068 1.210 1.983 2.693 0.601 0.003 µs -4.48 11.93

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 -556.015 -555.710 -555.130 -553.879 -550.247 -549.896 -549.652 4.883 5.814 1.602 -553.223 ppb -4.154e+07 1.439e+10
Temp ZONE0 43.470 43.470 44.008 44.008 45.084 45.084 45.084 1.076 1.614 0.354 44.205 °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 8.000 8.000 9.000 10.000 10.000 10.000 10.000 1.000 2.000 0.467 9.754 nSat 7915 1.585e+05
TDOP 0.660 0.660 0.670 0.690 0.890 0.950 0.950 0.220 0.290 0.076 0.730 668.3 6026

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 2.754 2.754 2.754 3.786 4.335 4.335 4.335 1.581 1.581 0.392 3.721 ms 639.5 5636

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 1.575 1.575 1.575 1.957 2.706 2.706 2.706 1.131 1.131 0.278 1.956 ms 239 1580

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 -2.362 -2.362 -2.362 0.194 4.290 4.290 4.290 6.652 6.652 1.634 0.372 ms -1.994 5.092

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 178.156.145.5

peer offset 178.156.145.5 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 178.156.145.5 3.818 3.818 3.818 4.194 5.853 5.853 5.853 2.035 2.035 0.665 4.419 ms 198.3 1238

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 -13.023 -13.023 -13.023 -12.917 1.803 1.803 1.803 14.826 14.826 6.398 -9.278 ms -20.91 63.08

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 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 3.135 3.135 3.135 3.676 4.961 4.961 4.961 1.825 1.825 0.518 3.839 ms 283.8 1959

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 1.652 1.652 1.652 2.718 3.312 3.312 3.312 1.661 1.661 0.388 2.691 ms 225.5 1427

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 1.727 1.727 1.727 2.065 2.391 2.391 2.391 0.664 0.664 0.197 2.050 ms 866.5 8430

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 0.250 0.250 0.250 2.770 3.007 3.007 3.007 2.757 2.757 0.754 2.386 ms 14.66 38.85

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) -31.689 -31.593 -31.245 -30.690 -30.014 -29.638 -29.468 1.231 1.955 0.361 -30.700 ms -6.369e+05 5.481e+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) -1.978 -1.626 -1.102 0.087 0.883 1.069 1.211 1.985 2.695 0.601 0.003 µs -4.478 11.91

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 1.326 1.326 1.326 3.430 47.883 47.883 47.883 46.557 46.557 16.561 11.236 ms 0.6784 2.452

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 1.416 1.416 1.416 2.268 6.296 6.296 6.296 4.880 4.880 1.477 2.747 ms 4.664 13.73

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 2.541 2.541 2.541 4.107 10.287 10.287 10.287 7.746 7.746 2.327 5.042 ms 6.17 18.1

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.



Server Jitter 178.156.145.5

peer jitter 178.156.145.5 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 178.156.145.5 1.341 1.341 1.341 2.769 8.095 8.095 8.095 6.755 6.755 2.274 3.568 ms 3.014 7.335

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 0.000 0.000 0.000 1.652 8.538 8.538 8.538 8.538 8.538 3.524 2.547 ms 0.1829 1.545

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 1.288 1.288 1.288 4.188 34.759 34.759 34.759 33.471 33.471 8.211 6.609 ms 2.221 7.945

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 1.345 1.345 1.345 3.167 23.055 23.055 23.055 21.710 21.710 5.678 4.408 ms 2.227 7.417

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 1.080 1.080 1.080 2.699 48.701 48.701 48.701 47.620 47.620 16.772 9.382 ms 0.5011 2.5

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 1.386 1.386 1.386 3.043 7.460 7.460 7.460 6.074 6.074 2.099 3.636 ms 3.377 7.931

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) 0.053 0.087 0.129 0.273 0.793 1.083 1.173 0.664 0.996 0.209 0.333 ms 3.591 11.7

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) 0.270 0.336 0.416 0.768 1.365 1.697 2.420 0.949 1.361 0.301 0.816 µs 11.31 39.84

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 -556.015 -555.710 -555.130 -553.879 -550.247 -549.896 -549.652 4.883 5.814 1.602 -553.223 ppb -4.154e+07 1.439e+10
Local Clock Time Offset -1.977 -1.625 -1.101 0.086 0.882 1.068 1.210 1.983 2.693 0.601 0.003 µs -4.48 11.93
Local RMS Frequency Jitter 191.000 204.000 218.000 287.000 379.000 412.000 435.000 161.000 208.000 49.124 291.640 10e-12 135.6 751.4
Local RMS Time Jitter 0.526 0.540 0.614 0.833 1.145 1.311 1.492 0.531 0.771 0.162 0.853 µs 90.14 449.6
Server Jitter 162.159.200.1 1.326 1.326 1.326 3.430 47.883 47.883 47.883 46.557 46.557 16.561 11.236 ms 0.6784 2.452
Server Jitter 169.229.128.134 1.416 1.416 1.416 2.268 6.296 6.296 6.296 4.880 4.880 1.477 2.747 ms 4.664 13.73
Server Jitter 173.11.101.155 2.541 2.541 2.541 4.107 10.287 10.287 10.287 7.746 7.746 2.327 5.042 ms 6.17 18.1
Server Jitter 178.156.145.5 1.341 1.341 1.341 2.769 8.095 8.095 8.095 6.755 6.755 2.274 3.568 ms 3.014 7.335
Server Jitter 192.12.19.20 0.000 0.000 0.000 1.652 8.538 8.538 8.538 8.538 8.538 3.524 2.547 ms 0.1829 1.545
Server Jitter 50.116.42.84 1.288 1.288 1.288 4.188 34.759 34.759 34.759 33.471 33.471 8.211 6.609 ms 2.221 7.945
Server Jitter 52.10.183.132 1.345 1.345 1.345 3.167 23.055 23.055 23.055 21.710 21.710 5.678 4.408 ms 2.227 7.417
Server Jitter 64.142.122.36 1.080 1.080 1.080 2.699 48.701 48.701 48.701 47.620 47.620 16.772 9.382 ms 0.5011 2.5
Server Jitter 66.220.9.122 1.386 1.386 1.386 3.043 7.460 7.460 7.460 6.074 6.074 2.099 3.636 ms 3.377 7.931
Server Jitter SHM(0) 0.053 0.087 0.129 0.273 0.793 1.083 1.173 0.664 0.996 0.209 0.333 ms 3.591 11.7
Server Jitter SHM(1) 0.270 0.336 0.416 0.768 1.365 1.697 2.420 0.949 1.361 0.301 0.816 µs 11.31 39.84
Server Offset 162.159.200.1 2.754 2.754 2.754 3.786 4.335 4.335 4.335 1.581 1.581 0.392 3.721 ms 639.5 5636
Server Offset 169.229.128.134 1.575 1.575 1.575 1.957 2.706 2.706 2.706 1.131 1.131 0.278 1.956 ms 239 1580
Server Offset 173.11.101.155 -2.362 -2.362 -2.362 0.194 4.290 4.290 4.290 6.652 6.652 1.634 0.372 ms -1.994 5.092
Server Offset 178.156.145.5 3.818 3.818 3.818 4.194 5.853 5.853 5.853 2.035 2.035 0.665 4.419 ms 198.3 1238
Server Offset 192.12.19.20 -13.023 -13.023 -13.023 -12.917 1.803 1.803 1.803 14.826 14.826 6.398 -9.278 ms -20.91 63.08
Server Offset 50.116.42.84 3.135 3.135 3.135 3.676 4.961 4.961 4.961 1.825 1.825 0.518 3.839 ms 283.8 1959
Server Offset 52.10.183.132 1.652 1.652 1.652 2.718 3.312 3.312 3.312 1.661 1.661 0.388 2.691 ms 225.5 1427
Server Offset 64.142.122.36 1.727 1.727 1.727 2.065 2.391 2.391 2.391 0.664 0.664 0.197 2.050 ms 866.5 8430
Server Offset 66.220.9.122 0.250 0.250 0.250 2.770 3.007 3.007 3.007 2.757 2.757 0.754 2.386 ms 14.66 38.85
Server Offset SHM(0) -31.689 -31.593 -31.245 -30.690 -30.014 -29.638 -29.468 1.231 1.955 0.361 -30.700 ms -6.369e+05 5.481e+07
Server Offset SHM(1) -1.978 -1.626 -1.102 0.087 0.883 1.069 1.211 1.985 2.695 0.601 0.003 µs -4.478 11.91
TDOP 0.660 0.660 0.670 0.690 0.890 0.950 0.950 0.220 0.290 0.076 0.730 668.3 6026
Temp ZONE0 43.470 43.470 44.008 44.008 45.084 45.084 45.084 1.076 1.614 0.354 44.205 °C
nSats 8.000 8.000 9.000 10.000 10.000 10.000 10.000 1.000 2.000 0.467 9.754 nSat 7915 1.585e+05
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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