NTPsec

crane1.services.mbix.ca

Report generated: Mon Nov 24 05:45:08 2025 UTC
Start Time: Mon Nov 17 05:45:07 2025 UTC
End Time: Mon Nov 24 05:45:07 2025 UTC
Report Period: 7.0 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 -40.599 -25.713 -19.906 -3.372 29.133 39.375 69.729 49.039 65.088 15.098 -0.001 µs -3.272 7.167
Local Clock Frequency Offset 72.718 72.737 72.746 72.785 72.964 73.044 73.120 0.218 0.307 0.068 72.811 ppm 1.239e+09 1.33e+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 6.338 11.010 13.225 20.050 27.961 31.516 42.013 14.736 20.506 4.471 20.243 µs 54.77 236.7

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 2.454 4.114 4.885 7.196 9.649 10.886 15.576 4.764 6.772 1.459 7.227 ppb 73.86 345.1

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 -40.599 -25.713 -19.906 -3.372 29.133 39.375 69.729 49.039 65.088 15.098 -0.001 µs -3.272 7.167

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 72.718 72.737 72.746 72.785 72.964 73.044 73.120 0.218 0.307 0.068 72.811 ppm 1.239e+09 1.33e+12
Temp ZONE0 37.000 38.000 38.000 40.000 42.000 43.000 45.000 4.000 5.000 1.177 39.945 °C
Temp ZONE1 33.000 33.000 34.000 35.000 37.000 37.000 38.000 3.000 4.000 0.893 35.137 °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 -173.598 -104.646 -53.565 45.705 132.584 178.465 214.789 186.149 283.111 58.124 42.476 µs -0.9906 3.769

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 -4,187.586 -26.418 -16.682 15.630 47.782 63.538 2,119.852 64.464 89.956 109.833 16.020 µs -26.26 1185

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 -10.451 -0.240 -0.055 -0.014 0.034 1.652 4.775 0.089 1.893 0.861 -0.038 ms -11.79 137.2

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) 315.542 323.886 335.781 369.703 401.884 423.306 461.045 66.103 99.420 20.737 369.453 µs 4806 8.167e+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 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 1.743 1.763 1.775 1.810 1.850 1.867 2.804 0.075 0.104 0.066 1.815 ms 1.912e+04 5.139e+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 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) -4.429 -4.156 -4.081 -3.311 -2.795 -2.662 -2.328 1.286 1.494 0.461 -3.383 ms -603.7 5244

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) -4.636 -4.316 -4.072 -3.469 -2.776 -2.659 -2.482 1.296 1.657 0.461 -3.376 ms -602.7 5232

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) -18.086 -0.586 -0.542 -0.468 -0.413 -0.383 -0.341 0.129 0.203 1.499 -0.600 ms -18.41 212.2

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) -23.521 2.302 20.395 65.238 112.549 135.387 172.065 92.154 133.085 28.108 66.064 µs 6.64 18.05

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 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) -9.609 0.761 0.794 0.847 0.894 0.912 0.948 0.100 0.151 0.731 0.784 ms -11.8 146.2

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) -40.600 -25.714 -19.907 -3.373 29.134 39.376 69.730 49.041 65.090 15.099 -0.002 µs -3.272 7.167

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 5.320 10.988 15.245 32.201 70.494 96.590 135.211 55.249 85.602 17.735 36.360 µs 5.728 19.64

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 0.006 0.010 0.013 0.027 0.181 2.428 4.121 0.168 2.418 0.372 0.099 ms 3.703 30.92

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 0.008 0.015 0.021 0.071 2.844 4.777 10.573 2.823 4.762 1.091 0.648 ms 1.571 11.4

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 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) 4.923 8.213 11.524 23.240 46.113 60.859 143.299 34.589 52.646 11.322 25.347 µs 7.461 32.85

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 3.248 9.022 11.570 23.445 46.151 62.992 1,078.468 34.581 53.970 63.706 29.794 µs 12.03 173.2

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 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) 6.491 10.845 14.890 34.483 126.568 279.469 740.441 111.678 268.624 54.715 50.315 µs 4.935 42.29

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 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) 4.303 10.269 14.827 38.145 136.320 309.300 546.514 121.493 299.031 55.285 54.201 µs 4.221 28.79

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 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) 0.006 0.009 0.013 0.026 0.055 7.106 17.647 0.042 7.096 1.353 0.196 ms 6.106 71.41

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) 7.518 14.484 18.545 34.522 63.527 81.988 1,919.802 44.982 67.504 48.826 39.148 µs 28.99 1060

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 0.020 0.032 5.318 49.021 63.133 75.301 48.989 63.114 17.665 14.749 ms 0.4389 2.363

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) 1.909 6.102 8.905 18.824 36.208 45.096 73.176 27.303 38.994 8.394 20.263 µs 8.005 25.55

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.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 72.718 72.737 72.746 72.785 72.964 73.044 73.120 0.218 0.307 0.068 72.811 ppm 1.239e+09 1.33e+12
Local Clock Time Offset -40.599 -25.713 -19.906 -3.372 29.133 39.375 69.729 49.039 65.088 15.098 -0.001 µs -3.272 7.167
Local RMS Frequency Jitter 2.454 4.114 4.885 7.196 9.649 10.886 15.576 4.764 6.772 1.459 7.227 ppb 73.86 345.1
Local RMS Time Jitter 6.338 11.010 13.225 20.050 27.961 31.516 42.013 14.736 20.506 4.471 20.243 µs 54.77 236.7
Server Jitter 128.101.101.101 5.320 10.988 15.245 32.201 70.494 96.590 135.211 55.249 85.602 17.735 36.360 µs 5.728 19.64
Server Jitter 128.233.154.245 0.006 0.010 0.013 0.027 0.181 2.428 4.121 0.168 2.418 0.372 0.099 ms 3.703 30.92
Server Jitter 132.246.11.237 0.008 0.015 0.021 0.071 2.844 4.777 10.573 2.823 4.762 1.091 0.648 ms 1.571 11.4
Server Jitter 2600:2600::199 (ntp2.wiktel.com) 4.923 8.213 11.524 23.240 46.113 60.859 143.299 34.589 52.646 11.322 25.347 µs 7.461 32.85
Server Jitter 2602:fde5:2a::11 3.248 9.022 11.570 23.445 46.151 62.992 1,078.468 34.581 53.970 63.706 29.794 µs 12.03 173.2
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 6.491 10.845 14.890 34.483 126.568 279.469 740.441 111.678 268.624 54.715 50.315 µs 4.935 42.29
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 4.303 10.269 14.827 38.145 136.320 309.300 546.514 121.493 299.031 55.285 54.201 µs 4.221 28.79
Server Jitter 2607:f388::123:1 (ntp1.doit.wisc.edu) 0.006 0.009 0.013 0.026 0.055 7.106 17.647 0.042 7.096 1.353 0.196 ms 6.106 71.41
Server Jitter 2610:20:6f97:97::6 (time-e-wwv.nist.gov) 7.518 14.484 18.545 34.522 63.527 81.988 1,919.802 44.982 67.504 48.826 39.148 µs 28.99 1060
Server Jitter 2620:149:a33:4000::31 (usnyc3-ntp-004.aaplimg.com) 0.013 0.020 0.032 5.318 49.021 63.133 75.301 48.989 63.114 17.665 14.749 ms 0.4389 2.363
Server Jitter PPS(0) 1.909 6.102 8.905 18.824 36.208 45.096 73.176 27.303 38.994 8.394 20.263 µs 8.005 25.55
Server Offset 128.101.101.101 -173.598 -104.646 -53.565 45.705 132.584 178.465 214.789 186.149 283.111 58.124 42.476 µs -0.9906 3.769
Server Offset 128.233.154.245 -4,187.586 -26.418 -16.682 15.630 47.782 63.538 2,119.852 64.464 89.956 109.833 16.020 µs -26.26 1185
Server Offset 132.246.11.237 -10.451 -0.240 -0.055 -0.014 0.034 1.652 4.775 0.089 1.893 0.861 -0.038 ms -11.79 137.2
Server Offset 2600:2600::199 (ntp2.wiktel.com) 315.542 323.886 335.781 369.703 401.884 423.306 461.045 66.103 99.420 20.737 369.453 µs 4806 8.167e+04
Server Offset 2602:fde5:2a::11 1.743 1.763 1.775 1.810 1.850 1.867 2.804 0.075 0.104 0.066 1.815 ms 1.912e+04 5.139e+05
Server Offset 2606:4700:f1::1 (time.cloudflare.com) -4.429 -4.156 -4.081 -3.311 -2.795 -2.662 -2.328 1.286 1.494 0.461 -3.383 ms -603.7 5244
Server Offset 2606:4700:f1::123 (time.cloudflare.com) -4.636 -4.316 -4.072 -3.469 -2.776 -2.659 -2.482 1.296 1.657 0.461 -3.376 ms -602.7 5232
Server Offset 2607:f388::123:1 (ntp1.doit.wisc.edu) -18.086 -0.586 -0.542 -0.468 -0.413 -0.383 -0.341 0.129 0.203 1.499 -0.600 ms -18.41 212.2
Server Offset 2610:20:6f97:97::6 (time-e-wwv.nist.gov) -23.521 2.302 20.395 65.238 112.549 135.387 172.065 92.154 133.085 28.108 66.064 µs 6.64 18.05
Server Offset 2620:149:a33:4000::31 (usnyc3-ntp-004.aaplimg.com) -9.609 0.761 0.794 0.847 0.894 0.912 0.948 0.100 0.151 0.731 0.784 ms -11.8 146.2
Server Offset PPS(0) -40.600 -25.714 -19.907 -3.373 29.134 39.376 69.730 49.041 65.090 15.099 -0.002 µs -3.272 7.167
Temp ZONE0 37.000 38.000 38.000 40.000 42.000 43.000 45.000 4.000 5.000 1.177 39.945 °C
Temp ZONE1 33.000 33.000 34.000 35.000 37.000 37.000 38.000 3.000 4.000 0.893 35.137 °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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