NTPsec

A-ntpsec-72-hour-stats

Report generated: Sat Jul 27 03:07:47 2024 UTC
Start Time: Wed Jul 24 03:07:45 2024 UTC
End Time: Sat Jul 27 03:07:45 2024 UTC
Report published: Fri Jul 26 08:08:02 PM 2024 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 -3.550 -1.708 -1.178 0.042 0.950 1.290 2.152 2.128 2.998 0.652 -0.015 µs -4.57 12.3
Local Clock Frequency Offset -591.904 -589.264 -561.844 -283.432 -38.025 -28.351 -21.301 523.819 560.913 156.384 -279.575 ppb -30.17 110.7

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 0.324 0.478 0.554 0.813 1.167 1.340 1.955 0.613 0.862 0.188 0.831 µs 50.43 216.1

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 132.000 185.000 214.000 307.000 427.000 489.000 733.000 213.000 304.000 65.547 312.207 10e-12 65.09 296.7

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 -3.550 -1.708 -1.178 0.042 0.950 1.290 2.152 2.128 2.998 0.652 -0.015 µs -4.57 12.3

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 -591.904 -589.264 -561.844 -283.432 -38.025 -28.351 -21.301 523.819 560.913 156.384 -279.575 ppb -30.17 110.7
Temp ZONE0 43.470 44.008 44.008 46.698 49.388 49.926 50.464 5.380 5.918 1.625 46.776 °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 8.000 8.000 10.000 12.000 13.000 14.000 4.000 5.000 1.170 9.726 nSat 413.2 3196
TDOP 0.470 0.510 0.560 0.810 1.230 1.400 3.230 0.670 0.890 0.215 0.853 36.05 149.2

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 2.069 3.076 3.659 5.065 7.692 10.773 15.569 4.033 7.697 1.422 5.328 ms 31.53 144.8

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 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 -0.241 2.104 3.266 4.755 9.170 11.258 15.262 5.904 9.154 1.698 5.164 ms 16.57 67.53

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 -2.521 -0.322 0.691 2.643 6.131 7.963 9.304 5.441 8.285 1.646 2.674 ms 3.338 11.34

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 -6.763 -3.097 -2.018 0.908 4.896 7.653 12.850 6.914 10.750 2.133 0.994 ms -0.9894 5.54

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 -0.809 1.350 1.918 3.896 7.501 9.230 16.332 5.584 7.880 1.677 4.027 ms 8.606 33.46

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 0.215 1.392 2.857 6.705 8.954 15.272 5.314 8.739 1.673 3.211 ms 4.511 25.6

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 3.670 4.756 6.399 10.930 14.133 17.101 6.174 10.463 1.875 6.856 ms 28.73 122.5

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 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 -3.188 2.025 2.962 4.902 9.058 10.972 15.395 6.096 8.947 1.778 5.213 ms 14.55 56.43

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 -5.656 -0.214 0.892 2.816 6.888 9.075 15.750 5.996 9.289 1.831 2.927 ms 3.578 14.5

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 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 -0.463 0.621 1.540 3.389 6.749 8.690 14.174 5.209 8.068 1.634 3.505 ms 6.583 25.18

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) -136.179 -134.581 -133.091 -130.293 -128.227 -127.488 -126.127 4.864 7.093 1.445 -130.469 ms -7.611e+05 6.95e+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) -3.551 -1.709 -1.179 0.043 0.951 1.291 2.153 2.130 3.000 0.653 -0.015 µs -4.569 12.29

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 0.216 0.336 0.830 4.043 17.823 24.271 31.629 16.992 23.935 5.841 6.382 ms 1.545 4.731

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 0.189 0.383 0.682 5.182 17.322 23.257 26.581 16.639 22.875 5.796 6.807 ms 1.487 4.033

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 0.228 0.572 0.993 4.416 17.463 22.569 62.700 16.470 21.997 6.279 6.798 ms 2.426 15.72

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 1.055 1.574 4.983 18.957 25.787 42.480 17.383 24.732 6.266 7.451 ms 2.229 8.786

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 0.176 0.527 0.957 4.700 17.873 23.621 46.786 16.916 23.094 6.054 7.003 ms 1.748 6.156

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 0.121 0.382 0.762 4.417 18.222 24.209 109.676 17.460 23.828 7.906 7.088 ms 5.093 62.79

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 0.260 0.482 0.797 4.529 17.731 22.731 26.753 16.933 22.249 5.744 6.685 ms 1.465 3.797

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 0.298 0.612 0.953 4.368 17.516 22.006 35.516 16.562 21.394 5.804 6.627 ms 1.532 4.565

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 0.268 0.636 0.986 4.498 19.782 25.867 48.665 18.796 25.231 6.819 7.339 ms 1.71 6.834

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 0.178 0.478 0.986 5.157 18.424 23.251 53.921 17.438 22.773 6.152 6.986 ms 2.104 10.65

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) 0.027 0.078 0.114 0.311 0.937 1.315 2.415 0.823 1.238 0.272 0.393 ms 3.027 10.5

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 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) 0.136 0.294 0.401 0.782 1.510 1.957 3.353 1.109 1.663 0.350 0.847 µs 8.238 27.58

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 -591.904 -589.264 -561.844 -283.432 -38.025 -28.351 -21.301 523.819 560.913 156.384 -279.575 ppb -30.17 110.7
Local Clock Time Offset -3.550 -1.708 -1.178 0.042 0.950 1.290 2.152 2.128 2.998 0.652 -0.015 µs -4.57 12.3
Local RMS Frequency Jitter 132.000 185.000 214.000 307.000 427.000 489.000 733.000 213.000 304.000 65.547 312.207 10e-12 65.09 296.7
Local RMS Time Jitter 0.324 0.478 0.554 0.813 1.167 1.340 1.955 0.613 0.862 0.188 0.831 µs 50.43 216.1
Server Jitter 162.159.200.1 0.216 0.336 0.830 4.043 17.823 24.271 31.629 16.992 23.935 5.841 6.382 ms 1.545 4.731
Server Jitter 162.159.200.123 0.189 0.383 0.682 5.182 17.322 23.257 26.581 16.639 22.875 5.796 6.807 ms 1.487 4.033
Server Jitter 169.229.128.134 0.228 0.572 0.993 4.416 17.463 22.569 62.700 16.470 21.997 6.279 6.798 ms 2.426 15.72
Server Jitter 173.11.101.155 0.830 1.055 1.574 4.983 18.957 25.787 42.480 17.383 24.732 6.266 7.451 ms 2.229 8.786
Server Jitter 192.12.19.20 0.176 0.527 0.957 4.700 17.873 23.621 46.786 16.916 23.094 6.054 7.003 ms 1.748 6.156
Server Jitter 5.161.184.148 0.121 0.382 0.762 4.417 18.222 24.209 109.676 17.460 23.828 7.906 7.088 ms 5.093 62.79
Server Jitter 50.116.42.84 0.260 0.482 0.797 4.529 17.731 22.731 26.753 16.933 22.249 5.744 6.685 ms 1.465 3.797
Server Jitter 52.10.183.132 0.298 0.612 0.953 4.368 17.516 22.006 35.516 16.562 21.394 5.804 6.627 ms 1.532 4.565
Server Jitter 64.142.122.36 0.268 0.636 0.986 4.498 19.782 25.867 48.665 18.796 25.231 6.819 7.339 ms 1.71 6.834
Server Jitter 66.220.9.122 0.178 0.478 0.986 5.157 18.424 23.251 53.921 17.438 22.773 6.152 6.986 ms 2.104 10.65
Server Jitter SHM(0) 0.027 0.078 0.114 0.311 0.937 1.315 2.415 0.823 1.238 0.272 0.393 ms 3.027 10.5
Server Jitter SHM(1) 0.136 0.294 0.401 0.782 1.510 1.957 3.353 1.109 1.663 0.350 0.847 µs 8.238 27.58
Server Offset 162.159.200.1 2.069 3.076 3.659 5.065 7.692 10.773 15.569 4.033 7.697 1.422 5.328 ms 31.53 144.8
Server Offset 162.159.200.123 -0.241 2.104 3.266 4.755 9.170 11.258 15.262 5.904 9.154 1.698 5.164 ms 16.57 67.53
Server Offset 169.229.128.134 -2.521 -0.322 0.691 2.643 6.131 7.963 9.304 5.441 8.285 1.646 2.674 ms 3.338 11.34
Server Offset 173.11.101.155 -6.763 -3.097 -2.018 0.908 4.896 7.653 12.850 6.914 10.750 2.133 0.994 ms -0.9894 5.54
Server Offset 192.12.19.20 -0.809 1.350 1.918 3.896 7.501 9.230 16.332 5.584 7.880 1.677 4.027 ms 8.606 33.46
Server Offset 5.161.184.148 -11.607 0.215 1.392 2.857 6.705 8.954 15.272 5.314 8.739 1.673 3.211 ms 4.511 25.6
Server Offset 50.116.42.84 1.956 3.670 4.756 6.399 10.930 14.133 17.101 6.174 10.463 1.875 6.856 ms 28.73 122.5
Server Offset 52.10.183.132 -3.188 2.025 2.962 4.902 9.058 10.972 15.395 6.096 8.947 1.778 5.213 ms 14.55 56.43
Server Offset 64.142.122.36 -5.656 -0.214 0.892 2.816 6.888 9.075 15.750 5.996 9.289 1.831 2.927 ms 3.578 14.5
Server Offset 66.220.9.122 -0.463 0.621 1.540 3.389 6.749 8.690 14.174 5.209 8.068 1.634 3.505 ms 6.583 25.18
Server Offset SHM(0) -136.179 -134.581 -133.091 -130.293 -128.227 -127.488 -126.127 4.864 7.093 1.445 -130.469 ms -7.611e+05 6.95e+07
Server Offset SHM(1) -3.551 -1.709 -1.179 0.043 0.951 1.291 2.153 2.130 3.000 0.653 -0.015 µs -4.569 12.29
TDOP 0.470 0.510 0.560 0.810 1.230 1.400 3.230 0.670 0.890 0.215 0.853 36.05 149.2
Temp ZONE0 43.470 44.008 44.008 46.698 49.388 49.926 50.464 5.380 5.918 1.625 46.776 °C
nSats 6.000 8.000 8.000 10.000 12.000 13.000 14.000 4.000 5.000 1.170 9.726 nSat 413.2 3196
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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