NTPsec

crane1.services.mbix.ca

Report generated: Mon Jan 19 03:53:00 2026 UTC
Start Time: Sun Jan 18 03:53:00 2026 UTC
End Time: Mon Jan 19 03:53:00 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 -40.393 -26.255 -19.762 -3.630 29.547 40.322 68.339 49.309 66.577 15.224 -0.118 µs -3.271 7.16
Local Clock Frequency Offset 72.672 72.702 72.771 73.126 73.557 73.573 73.612 0.786 0.871 0.279 73.178 ppm 1.783e+07 4.659e+09

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 7.851 10.989 13.190 20.132 28.489 32.166 41.289 15.299 21.177 4.655 20.336 µs 48.7 204.8

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 2.899 4.114 4.898 7.226 9.814 10.935 15.115 4.916 6.821 1.503 7.281 ppb 68.63 314.9

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 -40.393 -26.255 -19.762 -3.630 29.547 40.322 68.339 49.309 66.577 15.224 -0.118 µs -3.271 7.16

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 72.672 72.702 72.771 73.126 73.557 73.573 73.612 0.786 0.871 0.279 73.178 ppm 1.783e+07 4.659e+09
Temp ZONE0 29.000 29.000 30.000 33.000 38.000 38.000 38.000 8.000 9.000 2.487 33.441 °C
Temp ZONE1 24.000 24.000 25.000 27.000 31.000 32.000 32.000 6.000 8.000 1.962 27.542 °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 -63.890 -42.922 -18.135 52.193 101.948 138.210 186.020 120.083 181.132 38.156 48.610 µs 0.6656 3.545

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 -30.986 -23.191 -16.789 16.875 45.396 60.342 64.628 62.185 83.533 18.805 16.525 µs -0.4064 2.725

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 -83.757 -77.767 -59.469 -25.233 9.569 32.439 45.822 69.038 110.206 21.259 -25.060 µs -16.69 52.81

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) -29.383 -20.266 -5.067 52.968 388.990 401.412 429.064 394.057 421.678 173.881 183.916 µs 0.2702 1.101

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 2.017 2.029 2.043 2.083 2.123 2.133 2.147 0.080 0.104 0.024 2.084 ms 6.089e+05 5.163e+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 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) -3.975 -3.971 -3.894 -3.555 -3.157 -3.069 -3.023 0.737 0.902 0.234 -3.522 ms -4160 6.742e+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 2606:4700:f1::123 (time.cloudflare.com)

peer offset 2606:4700:f1::123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2606:4700:f1::123 (time.cloudflare.com) -3.782 -3.782 -3.723 -3.509 -3.241 -3.117 -3.117 0.482 0.665 0.144 -3.486 ms -1.598e+04 4.038e+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) -564.084 -544.964 -519.744 -448.101 -379.159 -362.262 -339.136 140.585 182.702 39.680 -448.749 µs -1902 2.387e+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 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) -19.475 -3.958 18.353 64.672 116.347 132.666 153.478 97.994 136.624 29.238 65.776 µs 5.748 14.99

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) 768.044 781.583 802.157 843.614 882.568 900.583 923.285 80.411 119.000 25.398 844.298 µs 3.362e+04 1.087e+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) -40.394 -26.256 -19.763 -3.631 29.548 40.323 68.340 49.311 66.579 15.225 -0.118 µs -3.271 7.16

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 10.081 11.593 15.960 30.279 66.589 81.493 133.057 50.629 69.900 15.689 34.444 µs 6.926 26.58

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.



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 8.780 9.542 12.129 25.290 52.178 88.846 1,826.168 40.049 79.304 151.169 40.334 µs 8.966 105.2

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 0.014 0.015 0.019 0.067 1.007 1.358 1.366 0.988 1.343 0.336 0.267 ms 0.7332 2.941

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) 7.768 9.695 13.002 37.831 354.568 370.453 378.715 341.566 360.758 133.449 137.978 µs 0.5793 1.534

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 7.153 8.583 12.378 23.924 48.193 67.455 384.846 35.815 58.872 30.636 28.783 µs 9.696 110.7

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 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) 8.938 9.039 14.219 37.059 120.760 237.125 307.627 106.541 228.086 43.225 49.943 µs 3.571 17.71

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::123 (time.cloudflare.com)

peer jitter 2606:4700:f1::123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 9.939 9.939 19.879 51.582 137.863 143.439 143.439 117.984 133.500 33.741 58.923 µs 3.507 9.175

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) 9.805 11.022 13.596 29.103 75.363 326.460 692.730 61.767 315.438 64.610 40.881 µs 6.634 62.44

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) 8.793 13.423 19.058 35.934 67.583 116.924 239.845 48.525 103.501 21.800 39.165 µs 7.958 63.35

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) 0.016 0.020 0.028 0.104 48.360 57.261 66.680 48.332 57.241 16.246 11.999 ms 0.3894 2.483

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) 2.477 6.154 8.799 19.133 36.640 46.343 62.934 27.841 40.189 8.563 20.397 µs 7.713 24.43

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 72.672 72.702 72.771 73.126 73.557 73.573 73.612 0.786 0.871 0.279 73.178 ppm 1.783e+07 4.659e+09
Local Clock Time Offset -40.393 -26.255 -19.762 -3.630 29.547 40.322 68.339 49.309 66.577 15.224 -0.118 µs -3.271 7.16
Local RMS Frequency Jitter 2.899 4.114 4.898 7.226 9.814 10.935 15.115 4.916 6.821 1.503 7.281 ppb 68.63 314.9
Local RMS Time Jitter 7.851 10.989 13.190 20.132 28.489 32.166 41.289 15.299 21.177 4.655 20.336 µs 48.7 204.8
Server Jitter 128.101.101.101 10.081 11.593 15.960 30.279 66.589 81.493 133.057 50.629 69.900 15.689 34.444 µs 6.926 26.58
Server Jitter 128.233.154.245 8.780 9.542 12.129 25.290 52.178 88.846 1,826.168 40.049 79.304 151.169 40.334 µs 8.966 105.2
Server Jitter 132.246.11.237 0.014 0.015 0.019 0.067 1.007 1.358 1.366 0.988 1.343 0.336 0.267 ms 0.7332 2.941
Server Jitter 2600:2600::199 (ntp2.wiktel.com) 7.768 9.695 13.002 37.831 354.568 370.453 378.715 341.566 360.758 133.449 137.978 µs 0.5793 1.534
Server Jitter 2602:fde5:2a::11 7.153 8.583 12.378 23.924 48.193 67.455 384.846 35.815 58.872 30.636 28.783 µs 9.696 110.7
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 8.938 9.039 14.219 37.059 120.760 237.125 307.627 106.541 228.086 43.225 49.943 µs 3.571 17.71
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 9.939 9.939 19.879 51.582 137.863 143.439 143.439 117.984 133.500 33.741 58.923 µs 3.507 9.175
Server Jitter 2607:f388::123:1 (ntp1.doit.wisc.edu) 9.805 11.022 13.596 29.103 75.363 326.460 692.730 61.767 315.438 64.610 40.881 µs 6.634 62.44
Server Jitter 2610:20:6f97:97::6 (time-e-wwv.nist.gov) 8.793 13.423 19.058 35.934 67.583 116.924 239.845 48.525 103.501 21.800 39.165 µs 7.958 63.35
Server Jitter 2620:149:a33:4000::31 (usnyc3-ntp-004.aaplimg.com) 0.016 0.020 0.028 0.104 48.360 57.261 66.680 48.332 57.241 16.246 11.999 ms 0.3894 2.483
Server Jitter PPS(0) 2.477 6.154 8.799 19.133 36.640 46.343 62.934 27.841 40.189 8.563 20.397 µs 7.713 24.43
Server Offset 128.101.101.101 -63.890 -42.922 -18.135 52.193 101.948 138.210 186.020 120.083 181.132 38.156 48.610 µs 0.6656 3.545
Server Offset 128.233.154.245 -30.986 -23.191 -16.789 16.875 45.396 60.342 64.628 62.185 83.533 18.805 16.525 µs -0.4064 2.725
Server Offset 132.246.11.237 -83.757 -77.767 -59.469 -25.233 9.569 32.439 45.822 69.038 110.206 21.259 -25.060 µs -16.69 52.81
Server Offset 2600:2600::199 (ntp2.wiktel.com) -29.383 -20.266 -5.067 52.968 388.990 401.412 429.064 394.057 421.678 173.881 183.916 µs 0.2702 1.101
Server Offset 2602:fde5:2a::11 2.017 2.029 2.043 2.083 2.123 2.133 2.147 0.080 0.104 0.024 2.084 ms 6.089e+05 5.163e+07
Server Offset 2606:4700:f1::1 (time.cloudflare.com) -3.975 -3.971 -3.894 -3.555 -3.157 -3.069 -3.023 0.737 0.902 0.234 -3.522 ms -4160 6.742e+04
Server Offset 2606:4700:f1::123 (time.cloudflare.com) -3.782 -3.782 -3.723 -3.509 -3.241 -3.117 -3.117 0.482 0.665 0.144 -3.486 ms -1.598e+04 4.038e+05
Server Offset 2607:f388::123:1 (ntp1.doit.wisc.edu) -564.084 -544.964 -519.744 -448.101 -379.159 -362.262 -339.136 140.585 182.702 39.680 -448.749 µs -1902 2.387e+04
Server Offset 2610:20:6f97:97::6 (time-e-wwv.nist.gov) -19.475 -3.958 18.353 64.672 116.347 132.666 153.478 97.994 136.624 29.238 65.776 µs 5.748 14.99
Server Offset 2620:149:a33:4000::31 (usnyc3-ntp-004.aaplimg.com) 768.044 781.583 802.157 843.614 882.568 900.583 923.285 80.411 119.000 25.398 844.298 µs 3.362e+04 1.087e+06
Server Offset PPS(0) -40.394 -26.256 -19.763 -3.631 29.548 40.323 68.340 49.311 66.579 15.225 -0.118 µs -3.271 7.16
Temp ZONE0 29.000 29.000 30.000 33.000 38.000 38.000 38.000 8.000 9.000 2.487 33.441 °C
Temp ZONE1 24.000 24.000 25.000 27.000 31.000 32.000 32.000 6.000 8.000 1.962 27.542 °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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