NTPsec

crane1.services.mbix.ca

Report generated: Thu Apr 23 12:53:01 2026 UTC
Start Time: Wed Apr 22 12:53:01 2026 UTC
End Time: Thu Apr 23 12:53:01 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 -44.673 -23.712 -17.306 -3.216 31.678 43.233 72.549 48.984 66.945 14.281 0.013 µs -2.808 6.73
Local Clock Frequency Offset 72.805 72.819 72.833 72.967 73.006 73.024 73.068 0.173 0.206 0.058 72.942 ppm 1.974e+09 2.476e+12

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 4.576 8.341 10.538 18.346 28.386 33.425 45.554 17.848 25.084 5.500 18.766 µs 21.72 76.24

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 1.975 3.026 3.871 6.607 9.980 11.778 15.470 6.109 8.752 1.895 6.710 ppb 24.52 88.91

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 -44.673 -23.712 -17.306 -3.216 31.678 43.233 72.549 48.984 66.945 14.281 0.013 µs -2.808 6.73

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 72.805 72.819 72.833 72.967 73.006 73.024 73.068 0.173 0.206 0.058 72.942 ppm 1.974e+09 2.476e+12
Temp ZONE0 40.000 40.000 41.000 42.000 44.000 45.000 46.000 3.000 5.000 1.024 42.359 °C
Temp ZONE1 34.000 34.000 35.000 36.000 37.000 38.000 38.000 2.000 4.000 0.793 36.235 °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 -119.473 -110.737 -89.036 -37.318 16.166 37.613 59.163 105.202 148.350 31.648 -36.949 µs -16.6 52.4

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 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 -20.541 -15.630 -7.373 23.171 53.280 70.045 72.714 60.653 85.675 17.961 23.398 µs 1.071 3.528

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 132.246.11.237

peer offset 132.246.11.237 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 132.246.11.237 1.664 1.687 1.715 1.801 1.889 1.931 1.962 0.174 0.244 0.053 1.800 ms 3.5e+04 1.147e+06

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) -50.896 -18.562 0.501 328.733 394.664 415.367 421.305 394.163 433.929 173.319 203.836 µs 0.4401 1.187

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 1.185 1.197 1.211 1.292 1.897 1.914 1.922 0.686 0.717 0.310 1.550 ms 75.78 352

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) -2.166 -2.157 -2.066 -1.866 -1.613 -1.486 -1.390 0.454 0.671 0.132 -1.866 ms -3516 5.39e+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 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) -728.857 -702.894 -567.296 -467.736 -352.246 -212.761 -199.840 215.050 490.133 73.111 -464.487 µs -419.2 3243

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) -46.533 -41.303 -28.474 12.299 67.920 90.882 92.758 96.394 132.185 28.581 15.485 µs -1.078 3.481

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:a33:4000::31 (usnyc3-ntp-004.aaplimg.com)

peer offset 2620:149:a33:4000::31 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2620:149:a33:4000::31 (usnyc3-ntp-004.aaplimg.com) 771.908 811.178 840.953 868.541 904.068 912.401 919.414 63.115 101.223 19.850 869.398 µs 7.853e+04 3.366e+06

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) -44.674 -23.713 -17.307 -3.217 31.679 43.234 72.550 48.986 66.947 14.282 0.013 µs -2.808 6.73

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 8.906 10.026 14.024 30.458 66.159 81.455 85.804 52.135 71.429 15.715 33.487 µs 5.811 17.29

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 0.009 0.010 0.013 0.025 0.058 1.921 3.795 0.045 1.912 0.365 0.084 ms 4.361 39.6

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 132.246.11.237

peer jitter 132.246.11.237 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 132.246.11.237 0.018 0.046 0.060 0.158 0.889 2.444 4.845 0.829 2.398 0.461 0.283 ms 4.218 34.36

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) 7.372 10.983 14.952 36.346 342.957 370.004 413.797 328.005 359.021 132.589 131.104 µs 0.5449 1.525

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 6.213 9.378 14.613 34.088 623.392 660.272 671.493 608.779 650.894 231.404 171.706 µs 0.3124 1.675

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) 9.291 10.419 14.531 37.592 113.800 157.846 268.361 99.269 147.427 34.200 47.306 µs 3.31 14.55

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) 8.461 10.154 13.764 28.631 831.353 915.712 939.786 817.589 905.558 219.268 105.152 µs 1.188 5.665

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) 14.217 18.238 21.289 35.769 62.865 96.026 1,042.538 41.576 77.788 61.049 42.235 µs 14.6 236.1

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 2620:149:a33:4000::31 (usnyc3-ntp-004.aaplimg.com)

peer jitter 2620:149:a33:4000::31 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2620:149:a33:4000::31 (usnyc3-ntp-004.aaplimg.com) 0.013 0.024 0.035 9.260 51.201 62.222 62.438 51.166 62.198 16.862 14.766 ms 0.5604 2.565

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 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) 1.824 4.241 6.357 16.878 37.022 47.736 72.122 30.665 43.495 9.567 18.401 µs 4.648 14.4

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.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 72.805 72.819 72.833 72.967 73.006 73.024 73.068 0.173 0.206 0.058 72.942 ppm 1.974e+09 2.476e+12
Local Clock Time Offset -44.673 -23.712 -17.306 -3.216 31.678 43.233 72.549 48.984 66.945 14.281 0.013 µs -2.808 6.73
Local RMS Frequency Jitter 1.975 3.026 3.871 6.607 9.980 11.778 15.470 6.109 8.752 1.895 6.710 ppb 24.52 88.91
Local RMS Time Jitter 4.576 8.341 10.538 18.346 28.386 33.425 45.554 17.848 25.084 5.500 18.766 µs 21.72 76.24
Server Jitter 128.101.101.101 8.906 10.026 14.024 30.458 66.159 81.455 85.804 52.135 71.429 15.715 33.487 µs 5.811 17.29
Server Jitter 128.233.154.245 0.009 0.010 0.013 0.025 0.058 1.921 3.795 0.045 1.912 0.365 0.084 ms 4.361 39.6
Server Jitter 132.246.11.237 0.018 0.046 0.060 0.158 0.889 2.444 4.845 0.829 2.398 0.461 0.283 ms 4.218 34.36
Server Jitter 2600:2600::199 (ntp2.wiktel.com) 7.372 10.983 14.952 36.346 342.957 370.004 413.797 328.005 359.021 132.589 131.104 µs 0.5449 1.525
Server Jitter 2602:fde5:2a::11 6.213 9.378 14.613 34.088 623.392 660.272 671.493 608.779 650.894 231.404 171.706 µs 0.3124 1.675
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 9.291 10.419 14.531 37.592 113.800 157.846 268.361 99.269 147.427 34.200 47.306 µs 3.31 14.55
Server Jitter 2607:f388::123:1 (ntp1.doit.wisc.edu) 8.461 10.154 13.764 28.631 831.353 915.712 939.786 817.589 905.558 219.268 105.152 µs 1.188 5.665
Server Jitter 2610:20:6f97:97::6 (time-e-wwv.nist.gov) 14.217 18.238 21.289 35.769 62.865 96.026 1,042.538 41.576 77.788 61.049 42.235 µs 14.6 236.1
Server Jitter 2620:149:a33:4000::31 (usnyc3-ntp-004.aaplimg.com) 0.013 0.024 0.035 9.260 51.201 62.222 62.438 51.166 62.198 16.862 14.766 ms 0.5604 2.565
Server Jitter PPS(0) 1.824 4.241 6.357 16.878 37.022 47.736 72.122 30.665 43.495 9.567 18.401 µs 4.648 14.4
Server Offset 128.101.101.101 -119.473 -110.737 -89.036 -37.318 16.166 37.613 59.163 105.202 148.350 31.648 -36.949 µs -16.6 52.4
Server Offset 128.233.154.245 -20.541 -15.630 -7.373 23.171 53.280 70.045 72.714 60.653 85.675 17.961 23.398 µs 1.071 3.528
Server Offset 132.246.11.237 1.664 1.687 1.715 1.801 1.889 1.931 1.962 0.174 0.244 0.053 1.800 ms 3.5e+04 1.147e+06
Server Offset 2600:2600::199 (ntp2.wiktel.com) -50.896 -18.562 0.501 328.733 394.664 415.367 421.305 394.163 433.929 173.319 203.836 µs 0.4401 1.187
Server Offset 2602:fde5:2a::11 1.185 1.197 1.211 1.292 1.897 1.914 1.922 0.686 0.717 0.310 1.550 ms 75.78 352
Server Offset 2606:4700:f1::1 (time.cloudflare.com) -2.166 -2.157 -2.066 -1.866 -1.613 -1.486 -1.390 0.454 0.671 0.132 -1.866 ms -3516 5.39e+04
Server Offset 2607:f388::123:1 (ntp1.doit.wisc.edu) -728.857 -702.894 -567.296 -467.736 -352.246 -212.761 -199.840 215.050 490.133 73.111 -464.487 µs -419.2 3243
Server Offset 2610:20:6f97:97::6 (time-e-wwv.nist.gov) -46.533 -41.303 -28.474 12.299 67.920 90.882 92.758 96.394 132.185 28.581 15.485 µs -1.078 3.481
Server Offset 2620:149:a33:4000::31 (usnyc3-ntp-004.aaplimg.com) 771.908 811.178 840.953 868.541 904.068 912.401 919.414 63.115 101.223 19.850 869.398 µs 7.853e+04 3.366e+06
Server Offset PPS(0) -44.674 -23.713 -17.307 -3.217 31.679 43.234 72.550 48.986 66.947 14.282 0.013 µs -2.808 6.73
Temp ZONE0 40.000 40.000 41.000 42.000 44.000 45.000 46.000 3.000 5.000 1.024 42.359 °C
Temp ZONE1 34.000 34.000 35.000 36.000 37.000 38.000 38.000 2.000 4.000 0.793 36.235 °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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