NTPsec

crane1.services.mbix.ca

Report generated: Sun Jun 7 18:53:08 2026 UTC
Start Time: Sat Jun 6 18:53:08 2026 UTC
End Time: Sun Jun 7 18:53:08 2026 UTC
Report Period: 1.0 days

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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 -35.449 -21.855 -16.711 -2.979 26.942 38.534 70.406 43.653 60.389 13.260 -0.017 µs -2.984 7.013
Local Clock Frequency Offset 73.012 73.041 73.057 73.106 73.143 73.156 73.195 0.085 0.114 0.027 73.103 ppm 1.984e+10 5.372e+13

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 6.152 8.931 10.703 17.118 25.601 30.177 40.308 14.898 21.246 4.572 17.469 µs 31.47 120.9

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 2.134 3.266 3.943 6.221 8.872 10.394 16.717 4.929 7.128 1.557 6.286 ppb 37.81 153.6

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 -35.449 -21.855 -16.711 -2.979 26.942 38.534 70.406 43.653 60.389 13.260 -0.017 µs -2.984 7.013

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 73.012 73.041 73.057 73.106 73.143 73.156 73.195 0.085 0.114 0.027 73.103 ppm 1.984e+10 5.372e+13
Temp ZONE0 39.000 39.000 40.000 42.000 44.000 44.000 44.000 4.000 5.000 1.162 41.758 °C
Temp ZONE1 37.000 37.000 37.000 38.000 39.000 40.000 40.000 2.000 3.000 0.656 38.281 °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.



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 128.101.101.101

peer offset 128.101.101.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 128.101.101.101 -239.254 -218.210 -96.191 14.488 260.687 339.553 348.879 356.878 557.763 106.205 39.954 µs -1.481 4.77

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 128.233.154.245

peer offset 128.233.154.245 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 128.233.154.245 -9.998 -3.147 3.827 29.185 60.511 74.432 79.548 56.684 77.579 17.619 30.670 µs 2.86 6.827

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 132.246.11.238

peer offset 132.246.11.238 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 132.246.11.238 1.655 1.688 1.717 1.810 3.812 3.901 3.907 2.095 2.213 0.468 1.914 ms 42.78 213.4

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 2600:2600::199 (ntp2.wiktel.com)

peer offset 2600:2600::199 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2600:2600::199 (ntp2.wiktel.com) -30.964 -19.671 -7.261 22.113 58.539 70.046 85.501 65.800 89.717 19.315 24.505 µs 1.001 3.449

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 2602:fde5:2a::11

peer offset 2602:fde5:2a::11 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2602:fde5:2a::11 1.446 1.449 1.467 1.511 2.093 2.108 2.121 0.626 0.659 0.243 1.635 ms 205.3 1296

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 2606:4700:f1::1 (time.cloudflare.com)

peer offset 2606:4700:f1::1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2606:4700:f1::1 (time.cloudflare.com) -2.141 -2.109 -2.035 -1.907 -1.802 -1.763 -1.728 0.233 0.346 0.069 -1.909 ms -2.341e+04 6.712e+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 2607:f388::123:1 (ntp1.doit.wisc.edu)

peer offset 2607:f388::123:1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2607:f388::123:1 (ntp1.doit.wisc.edu) -607.003 -593.857 -518.383 -460.893 -316.866 -244.712 -227.099 201.517 349.145 57.186 -454.313 µs -740.7 6827

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 2610:20:6f97:97::6 (time-e-wwv.nist.gov)

peer offset 2610:20:6f97:97::6 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2610:20:6f97:97::6 (time-e-wwv.nist.gov) -52.218 -46.031 -31.992 9.837 64.287 100.157 113.389 96.279 146.188 30.959 14.387 µs -1.357 3.951

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 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com)

peer offset 2620:149:a33:3000::21 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 692.234 699.023 743.492 829.160 876.886 899.022 904.633 133.394 199.999 38.864 823.853 µs 8300 1.688e+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 PPS(0)

peer offset PPS(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset PPS(0) -35.450 -21.856 -16.712 -2.980 26.943 38.535 70.407 43.655 60.391 13.261 -0.017 µs -2.984 7.013

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 128.101.101.101

peer jitter 128.101.101.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 128.101.101.101 5.568 7.155 11.921 28.558 60.392 170.575 179.050 48.471 163.420 20.988 32.301 µs 5.435 33.4

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 128.233.154.245

peer jitter 128.233.154.245 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 128.233.154.245 5.871 7.801 12.005 24.070 50.978 73.204 222.738 38.973 65.403 20.056 27.464 µs 7.745 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 132.246.11.238

peer jitter 132.246.11.238 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 132.246.11.238 0.048 0.054 0.069 0.302 2.068 2.681 3.305 1.999 2.627 0.600 0.519 ms 2.023 7.679

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 2600:2600::199 (ntp2.wiktel.com)

peer jitter 2600:2600::199 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2600:2600::199 (ntp2.wiktel.com) 4.280 6.276 10.739 23.698 47.407 108.954 114.145 36.668 102.678 13.992 26.364 µs 5.978 29.81

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 2602:fde5:2a::11

peer jitter 2602:fde5:2a::11 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2602:fde5:2a::11 9.733 11.767 15.180 228.160 580.235 612.333 626.557 565.055 600.566 234.322 255.425 µs 0.4407 1.344

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 2606:4700:f1::1 (time.cloudflare.com)

peer jitter 2606:4700:f1::1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 7.639 9.253 13.321 29.842 69.273 82.605 87.811 55.952 73.352 16.729 33.614 µs 5.029 14.62

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 2607:f388::123:1 (ntp1.doit.wisc.edu)

peer jitter 2607:f388::123:1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2607:f388::123:1 (ntp1.doit.wisc.edu) 8.363 11.713 15.126 27.850 61.474 141.997 442.063 46.348 130.284 29.311 33.510 µs 10.35 139.1

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 2610:20:6f97:97::6 (time-e-wwv.nist.gov)

peer jitter 2610:20:6f97:97::6 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2610:20:6f97:97::6 (time-e-wwv.nist.gov) 10.840 17.467 19.699 37.923 69.745 92.730 193.301 50.046 75.263 19.693 41.040 µs 7.536 42.13

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.



Server Jitter 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com)

peer jitter 2620:149:a33:3000::21 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 0.006 0.021 0.064 2.786 58.133 68.244 87.429 58.069 68.223 20.010 15.629 ms 0.548 2.888

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 PPS(0)

peer jitter PPS(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter PPS(0) 2.030 4.718 6.778 16.058 32.629 42.850 67.577 25.851 38.132 8.209 17.389 µs 5.923 19.59

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 73.012 73.041 73.057 73.106 73.143 73.156 73.195 0.085 0.114 0.027 73.103 ppm 1.984e+10 5.372e+13
Local Clock Time Offset -35.449 -21.855 -16.711 -2.979 26.942 38.534 70.406 43.653 60.389 13.260 -0.017 µs -2.984 7.013
Local RMS Frequency Jitter 2.134 3.266 3.943 6.221 8.872 10.394 16.717 4.929 7.128 1.557 6.286 ppb 37.81 153.6
Local RMS Time Jitter 6.152 8.931 10.703 17.118 25.601 30.177 40.308 14.898 21.246 4.572 17.469 µs 31.47 120.9
Server Jitter 128.101.101.101 5.568 7.155 11.921 28.558 60.392 170.575 179.050 48.471 163.420 20.988 32.301 µs 5.435 33.4
Server Jitter 128.233.154.245 5.871 7.801 12.005 24.070 50.978 73.204 222.738 38.973 65.403 20.056 27.464 µs 7.745 73
Server Jitter 132.246.11.238 0.048 0.054 0.069 0.302 2.068 2.681 3.305 1.999 2.627 0.600 0.519 ms 2.023 7.679
Server Jitter 2600:2600::199 (ntp2.wiktel.com) 4.280 6.276 10.739 23.698 47.407 108.954 114.145 36.668 102.678 13.992 26.364 µs 5.978 29.81
Server Jitter 2602:fde5:2a::11 9.733 11.767 15.180 228.160 580.235 612.333 626.557 565.055 600.566 234.322 255.425 µs 0.4407 1.344
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 7.639 9.253 13.321 29.842 69.273 82.605 87.811 55.952 73.352 16.729 33.614 µs 5.029 14.62
Server Jitter 2607:f388::123:1 (ntp1.doit.wisc.edu) 8.363 11.713 15.126 27.850 61.474 141.997 442.063 46.348 130.284 29.311 33.510 µs 10.35 139.1
Server Jitter 2610:20:6f97:97::6 (time-e-wwv.nist.gov) 10.840 17.467 19.699 37.923 69.745 92.730 193.301 50.046 75.263 19.693 41.040 µs 7.536 42.13
Server Jitter 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 0.006 0.021 0.064 2.786 58.133 68.244 87.429 58.069 68.223 20.010 15.629 ms 0.548 2.888
Server Jitter PPS(0) 2.030 4.718 6.778 16.058 32.629 42.850 67.577 25.851 38.132 8.209 17.389 µs 5.923 19.59
Server Offset 128.101.101.101 -239.254 -218.210 -96.191 14.488 260.687 339.553 348.879 356.878 557.763 106.205 39.954 µs -1.481 4.77
Server Offset 128.233.154.245 -9.998 -3.147 3.827 29.185 60.511 74.432 79.548 56.684 77.579 17.619 30.670 µs 2.86 6.827
Server Offset 132.246.11.238 1.655 1.688 1.717 1.810 3.812 3.901 3.907 2.095 2.213 0.468 1.914 ms 42.78 213.4
Server Offset 2600:2600::199 (ntp2.wiktel.com) -30.964 -19.671 -7.261 22.113 58.539 70.046 85.501 65.800 89.717 19.315 24.505 µs 1.001 3.449
Server Offset 2602:fde5:2a::11 1.446 1.449 1.467 1.511 2.093 2.108 2.121 0.626 0.659 0.243 1.635 ms 205.3 1296
Server Offset 2606:4700:f1::1 (time.cloudflare.com) -2.141 -2.109 -2.035 -1.907 -1.802 -1.763 -1.728 0.233 0.346 0.069 -1.909 ms -2.341e+04 6.712e+05
Server Offset 2607:f388::123:1 (ntp1.doit.wisc.edu) -607.003 -593.857 -518.383 -460.893 -316.866 -244.712 -227.099 201.517 349.145 57.186 -454.313 µs -740.7 6827
Server Offset 2610:20:6f97:97::6 (time-e-wwv.nist.gov) -52.218 -46.031 -31.992 9.837 64.287 100.157 113.389 96.279 146.188 30.959 14.387 µs -1.357 3.951
Server Offset 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 692.234 699.023 743.492 829.160 876.886 899.022 904.633 133.394 199.999 38.864 823.853 µs 8300 1.688e+05
Server Offset PPS(0) -35.450 -21.856 -16.712 -2.980 26.943 38.535 70.407 43.655 60.391 13.261 -0.017 µs -2.984 7.013
Temp ZONE0 39.000 39.000 40.000 42.000 44.000 44.000 44.000 4.000 5.000 1.162 41.758 °C
Temp ZONE1 37.000 37.000 37.000 38.000 39.000 40.000 40.000 2.000 3.000 0.656 38.281 °C
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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