NTPsec

A-ntpsec-24-hour-stats

Report generated: Thu Oct 23 11:08:17 2025 UTC
Start Time: Wed Oct 22 11:08:17 2025 UTC
End Time: Thu Oct 23 11:08:17 2025 UTC
Report published: Thu Oct 23 04:08:35 AM 2025 PDT
Report Period: 1.0 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 -2.390 -1.315 0.043 0.954 1.398 2.790 2.269 3.788 0.701 -0.020 µs -5.175 16.96
Local Clock Frequency Offset -310.730 -304.001 -274.246 -214.691 -154.099 -152.573 -151.581 120.147 151.428 38.637 -210.845 ppb -288.7 1995

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 0.312 0.446 0.521 0.860 1.425 1.695 2.208 0.904 1.249 0.281 0.903 µs 18.26 63.47

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 114.000 168.000 196.000 313.000 512.000 597.000 813.000 316.000 429.000 97.192 328.761 10e-12 21.38 76.22

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 -2.390 -1.315 0.043 0.954 1.398 2.790 2.269 3.788 0.701 -0.020 µs -5.175 16.96

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 -310.730 -304.001 -274.246 -214.691 -154.099 -152.573 -151.581 120.147 151.428 38.637 -210.845 ppb -288.7 1995
Temp ZONE0 46.160 46.160 46.160 47.236 48.312 48.312 48.312 2.152 2.152 0.526 47.353 °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 1.282 10.096 nSat 345.8 2534
TDOP 0.470 0.500 0.550 0.800 1.200 1.450 1.770 0.650 0.950 0.203 0.836 40.61 168.4

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 2.465 2.655 2.850 3.832 4.162 4.411 4.544 1.312 1.756 0.466 3.653 ms 338.7 2441

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 2.299 2.299 2.734 3.555 3.946 4.250 4.250 1.212 1.951 0.354 3.518 ms 737.5 6797

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 0.368 0.990 1.141 1.421 1.642 1.916 2.078 0.501 0.926 0.174 1.409 ms 377.4 2824

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 -4.849 -4.090 -3.154 -1.423 1.749 3.171 3.824 4.903 7.261 1.527 -1.149 ms -9.898 25.93

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 -0.169 0.689 1.640 2.725 3.543 3.703 3.759 1.903 3.014 0.670 2.629 ms 33.25 121.4

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 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 1.944 1.944 2.147 2.438 2.683 2.929 2.929 0.536 0.984 0.170 2.400 ms 2313 3.094e+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 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 1.018 1.904 2.049 2.503 3.008 3.327 3.388 0.959 1.423 0.288 2.511 ms 480.2 3879

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 3.181 3.327 3.547 3.852 4.351 4.765 6.104 0.804 1.438 0.275 3.887 ms 2300 3.08e+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 1.792 1.855 2.020 2.276 2.542 2.720 2.978 0.523 0.864 0.163 2.280 ms 2251 2.985e+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 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 1.673 2.019 2.248 2.500 2.754 3.462 0.481 1.082 0.220 2.244 ms 800.8 7563

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 -135.129 -134.162 -130.824 -128.448 -127.999 -127.231 5.714 7.130 1.625 -130.912 ms -5.428e+05 4.429e+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 -2.391 -1.316 0.044 0.955 1.399 2.791 2.271 3.790 0.701 -0.020 µs -5.172 16.94

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 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 0.194 0.244 0.327 1.560 22.307 22.702 22.771 21.980 22.458 6.906 5.020 ms 0.6827 2.583

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 0.252 0.252 0.394 1.801 15.315 21.798 21.798 14.921 21.546 4.660 3.563 ms 1.461 5.061

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 0.167 0.206 0.343 1.950 22.416 23.883 30.435 22.074 23.677 6.736 5.059 ms 0.9292 3.348

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 0.669 1.133 1.689 3.677 20.472 23.738 24.497 18.784 22.606 6.322 6.844 ms 1.474 3.568

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 0.216 0.321 1.550 21.075 22.093 22.549 20.755 21.877 6.350 4.698 ms 0.8074 2.892

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 0.301 0.301 0.646 1.611 17.922 18.931 18.931 17.276 18.629 5.396 4.123 ms 1.04 3.441

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 0.290 0.528 1.971 15.240 19.816 20.240 14.712 19.526 5.095 4.568 ms 1.09 3.251

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 0.197 0.318 1.819 19.531 22.864 25.921 19.213 22.667 6.238 4.949 ms 0.8648 3

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 0.128 0.148 0.310 2.166 21.170 23.281 39.523 20.860 23.133 6.726 5.385 ms 1.09 4.302

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 0.175 0.189 0.258 1.650 20.004 22.818 23.401 19.746 22.629 6.127 4.622 ms 0.8802 3.142

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) 0.033 0.057 0.104 0.429 1.083 1.500 2.118 0.979 1.442 0.316 0.497 ms 2.988 8.948

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) 0.107 0.261 0.356 0.789 1.824 2.579 3.672 1.468 2.318 0.472 0.895 µs 4.947 17.13

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 -310.730 -304.001 -274.246 -214.691 -154.099 -152.573 -151.581 120.147 151.428 38.637 -210.845 ppb -288.7 1995
Local Clock Time Offset -3.464 -2.390 -1.315 0.043 0.954 1.398 2.790 2.269 3.788 0.701 -0.020 µs -5.175 16.96
Local RMS Frequency Jitter 114.000 168.000 196.000 313.000 512.000 597.000 813.000 316.000 429.000 97.192 328.761 10e-12 21.38 76.22
Local RMS Time Jitter 0.312 0.446 0.521 0.860 1.425 1.695 2.208 0.904 1.249 0.281 0.903 µs 18.26 63.47
Server Jitter 162.159.200.1 0.194 0.244 0.327 1.560 22.307 22.702 22.771 21.980 22.458 6.906 5.020 ms 0.6827 2.583
Server Jitter 162.159.200.123 0.252 0.252 0.394 1.801 15.315 21.798 21.798 14.921 21.546 4.660 3.563 ms 1.461 5.061
Server Jitter 169.229.128.134 0.167 0.206 0.343 1.950 22.416 23.883 30.435 22.074 23.677 6.736 5.059 ms 0.9292 3.348
Server Jitter 173.11.101.155 0.669 1.133 1.689 3.677 20.472 23.738 24.497 18.784 22.606 6.322 6.844 ms 1.474 3.568
Server Jitter 192.12.19.20 0.116 0.216 0.321 1.550 21.075 22.093 22.549 20.755 21.877 6.350 4.698 ms 0.8074 2.892
Server Jitter 5.161.191.31 0.301 0.301 0.646 1.611 17.922 18.931 18.931 17.276 18.629 5.396 4.123 ms 1.04 3.441
Server Jitter 50.116.42.84 0.143 0.290 0.528 1.971 15.240 19.816 20.240 14.712 19.526 5.095 4.568 ms 1.09 3.251
Server Jitter 52.10.183.132 0.126 0.197 0.318 1.819 19.531 22.864 25.921 19.213 22.667 6.238 4.949 ms 0.8648 3
Server Jitter 64.142.122.36 0.128 0.148 0.310 2.166 21.170 23.281 39.523 20.860 23.133 6.726 5.385 ms 1.09 4.302
Server Jitter 66.220.9.122 0.175 0.189 0.258 1.650 20.004 22.818 23.401 19.746 22.629 6.127 4.622 ms 0.8802 3.142
Server Jitter SHM(0) 0.033 0.057 0.104 0.429 1.083 1.500 2.118 0.979 1.442 0.316 0.497 ms 2.988 8.948
Server Jitter SHM(1) 0.107 0.261 0.356 0.789 1.824 2.579 3.672 1.468 2.318 0.472 0.895 µs 4.947 17.13
Server Offset 162.159.200.1 2.465 2.655 2.850 3.832 4.162 4.411 4.544 1.312 1.756 0.466 3.653 ms 338.7 2441
Server Offset 162.159.200.123 2.299 2.299 2.734 3.555 3.946 4.250 4.250 1.212 1.951 0.354 3.518 ms 737.5 6797
Server Offset 169.229.128.134 0.368 0.990 1.141 1.421 1.642 1.916 2.078 0.501 0.926 0.174 1.409 ms 377.4 2824
Server Offset 173.11.101.155 -4.849 -4.090 -3.154 -1.423 1.749 3.171 3.824 4.903 7.261 1.527 -1.149 ms -9.898 25.93
Server Offset 192.12.19.20 -0.169 0.689 1.640 2.725 3.543 3.703 3.759 1.903 3.014 0.670 2.629 ms 33.25 121.4
Server Offset 5.161.191.31 1.944 1.944 2.147 2.438 2.683 2.929 2.929 0.536 0.984 0.170 2.400 ms 2313 3.094e+04
Server Offset 50.116.42.84 1.018 1.904 2.049 2.503 3.008 3.327 3.388 0.959 1.423 0.288 2.511 ms 480.2 3879
Server Offset 52.10.183.132 3.181 3.327 3.547 3.852 4.351 4.765 6.104 0.804 1.438 0.275 3.887 ms 2300 3.08e+04
Server Offset 64.142.122.36 1.792 1.855 2.020 2.276 2.542 2.720 2.978 0.523 0.864 0.163 2.280 ms 2251 2.985e+04
Server Offset 66.220.9.122 -0.026 1.673 2.019 2.248 2.500 2.754 3.462 0.481 1.082 0.220 2.244 ms 800.8 7563
Server Offset SHM(0) -136.087 -135.129 -134.162 -130.824 -128.448 -127.999 -127.231 5.714 7.130 1.625 -130.912 ms -5.428e+05 4.429e+07
Server Offset SHM(1) -3.465 -2.391 -1.316 0.044 0.955 1.399 2.791 2.271 3.790 0.701 -0.020 µs -5.172 16.94
TDOP 0.470 0.500 0.550 0.800 1.200 1.450 1.770 0.650 0.950 0.203 0.836 40.61 168.4
Temp ZONE0 46.160 46.160 46.160 47.236 48.312 48.312 48.312 2.152 2.152 0.526 47.353 °C
nSats 7.000 8.000 8.000 10.000 13.000 13.000 14.000 5.000 5.000 1.282 10.096 nSat 345.8 2534
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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