NTPsec

crane2.services.mbix.ca

Report generated: Thu Jun 4 16:45:05 2026 UTC
Start Time: Thu May 28 16:45:03 2026 UTC
End Time: Thu Jun 4 16:45:03 2026 UTC
Report Period: 7.0 days

Top   Daily Stats   Weekly Stats  

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 -53.072 -20.125 -14.891 -1.954 21.285 34.538 73.554 36.176 54.663 11.236 0.007 µs -3.009 7.739
Local Clock Frequency Offset 80.035 80.070 80.096 80.193 80.329 80.401 80.440 0.233 0.330 0.075 80.200 ppm 1.241e+09 1.334e+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 4.666 8.214 9.609 14.494 22.472 26.712 40.745 12.863 18.498 4.000 15.072 µs 30.37 118.2

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 1.675 2.963 3.468 5.097 7.821 9.312 17.007 4.353 6.349 1.382 5.310 ppb 32.52 131.3

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 -53.072 -20.125 -14.891 -1.954 21.285 34.538 73.554 36.176 54.663 11.236 0.007 µs -3.009 7.739

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 80.035 80.070 80.096 80.193 80.329 80.401 80.440 0.233 0.330 0.075 80.200 ppm 1.241e+09 1.334e+12
Temp ZONE0 31.000 31.000 32.000 33.000 34.000 34.000 35.000 2.000 3.000 0.734 32.718 °C
Temp ZONE1 36.000 37.000 37.000 38.000 39.000 39.000 40.000 2.000 2.000 0.712 37.933 °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 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 1.734 1.828 1.860 1.948 2.142 11.496 11.595 0.281 9.669 1.237 2.119 ms 9.923 80.8

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 134.84.84.84

peer offset 134.84.84.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 134.84.84.84 -378.917 -208.037 -31.594 43.695 97.882 125.130 188.360 129.476 333.167 51.378 37.995 µs -3.307 17.75

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 204.9.54.119

peer offset 204.9.54.119 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 204.9.54.119 -9.729 0.027 0.036 0.057 0.091 9.788 19.388 0.055 9.760 2.004 0.337 ms 3.467 41.64

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::99 (ntp1.wiktel.com)

peer offset 2600:2600::99 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2600:2600::99 (ntp1.wiktel.com) -9.828 5.169 13.225 41.030 78.747 93.336 111.551 65.522 88.167 19.758 42.763 µs 5.498 14.85

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::12

peer offset 2602:fde5:2a::12 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2602:fde5:2a::12 1.024 1.464 1.479 1.521 2.102 2.117 2.138 0.623 0.654 0.269 1.694 ms 165.6 975.1

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) -3.976 -3.654 -3.522 -2.019 -1.732 -1.588 0.206 1.790 2.066 0.765 -2.486 ms -89.71 440.2

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 2607:f388::123:2 (ntp2.doit.wisc.edu)

peer offset 2607:f388::123:2 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2607:f388::123:2 (ntp2.doit.wisc.edu) -1,417.409 -576.159 -521.882 -466.912 -402.327 -359.653 -316.544 119.555 216.506 81.142 -470.372 µs -343.3 2753

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 2610:20:6f96:96::6 (time-e-b.nist.gov)

peer offset 2610:20:6f96:96::6 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2610:20:6f96:96::6 (time-e-b.nist.gov) 219.064 236.657 249.474 280.980 323.889 348.233 371.179 74.415 111.576 22.954 283.210 µs 1492 1.732e+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 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) 748.270 759.575 770.143 799.731 851.608 871.358 900.907 81.465 111.783 25.260 804.238 µs 2.942e+04 9.102e+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) -53.073 -20.126 -14.892 -1.955 21.286 34.539 73.555 36.178 54.665 11.236 0.007 µs -3.01 7.739

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 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 0.032 0.046 0.068 0.364 2.216 3.920 177.678 2.148 3.874 6.214 0.889 ms 21.73 590.6

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 134.84.84.84

peer jitter 134.84.84.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 134.84.84.84 4.862 10.623 14.277 28.071 56.157 88.507 215.637 41.880 77.884 15.847 31.211 µs 6.873 40.93

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 204.9.54.119

peer jitter 204.9.54.119 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 204.9.54.119 0.004 0.008 0.011 0.022 0.047 0.955 22.572 0.036 0.947 1.136 0.114 ms 11.37 185.7

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 2600:2600::99 (ntp1.wiktel.com)

peer jitter 2600:2600::99 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2600:2600::99 (ntp1.wiktel.com) 5.611 9.736 13.427 25.097 46.214 58.901 1,354.045 32.787 49.165 30.958 27.539 µs 37.5 1603

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::12

peer jitter 2602:fde5:2a::12 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2602:fde5:2a::12 4.806 9.249 12.644 39.121 579.731 598.696 1,617.219 567.087 589.447 238.161 222.626 µs 0.4063 2.186

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) 5.543 9.685 13.582 32.348 121.212 392.002 2,631.531 107.630 382.317 111.550 51.576 µs 12.94 247.8

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::123:2 (ntp2.doit.wisc.edu)

peer jitter 2607:f388::123:2 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2607:f388::123:2 (ntp2.doit.wisc.edu) 5.514 10.335 14.049 27.170 70.331 365.116 1,422.503 56.282 354.781 75.644 39.399 µs 9.321 134.9

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 2610:20:6f96:96::6 (time-e-b.nist.gov)

peer jitter 2610:20:6f96:96::6 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2610:20:6f96:96::6 (time-e-b.nist.gov) 0.009 0.015 0.019 0.035 0.062 0.082 6.423 0.043 0.067 0.345 0.060 ms 12.94 219.6

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 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) 0.005 0.011 0.015 3.410 49.432 57.129 74.493 49.417 57.118 17.025 13.764 ms 0.4236 2.364

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) 1.636 4.726 6.500 13.372 28.106 38.603 84.942 21.606 33.877 6.986 14.788 µs 6.283 23.11

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 80.035 80.070 80.096 80.193 80.329 80.401 80.440 0.233 0.330 0.075 80.200 ppm 1.241e+09 1.334e+12
Local Clock Time Offset -53.072 -20.125 -14.891 -1.954 21.285 34.538 73.554 36.176 54.663 11.236 0.007 µs -3.009 7.739
Local RMS Frequency Jitter 1.675 2.963 3.468 5.097 7.821 9.312 17.007 4.353 6.349 1.382 5.310 ppb 32.52 131.3
Local RMS Time Jitter 4.666 8.214 9.609 14.494 22.472 26.712 40.745 12.863 18.498 4.000 15.072 µs 30.37 118.2
Server Jitter 132.246.11.238 0.032 0.046 0.068 0.364 2.216 3.920 177.678 2.148 3.874 6.214 0.889 ms 21.73 590.6
Server Jitter 134.84.84.84 4.862 10.623 14.277 28.071 56.157 88.507 215.637 41.880 77.884 15.847 31.211 µs 6.873 40.93
Server Jitter 204.9.54.119 0.004 0.008 0.011 0.022 0.047 0.955 22.572 0.036 0.947 1.136 0.114 ms 11.37 185.7
Server Jitter 2600:2600::99 (ntp1.wiktel.com) 5.611 9.736 13.427 25.097 46.214 58.901 1,354.045 32.787 49.165 30.958 27.539 µs 37.5 1603
Server Jitter 2602:fde5:2a::12 4.806 9.249 12.644 39.121 579.731 598.696 1,617.219 567.087 589.447 238.161 222.626 µs 0.4063 2.186
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 5.543 9.685 13.582 32.348 121.212 392.002 2,631.531 107.630 382.317 111.550 51.576 µs 12.94 247.8
Server Jitter 2607:f388::123:2 (ntp2.doit.wisc.edu) 5.514 10.335 14.049 27.170 70.331 365.116 1,422.503 56.282 354.781 75.644 39.399 µs 9.321 134.9
Server Jitter 2610:20:6f96:96::6 (time-e-b.nist.gov) 0.009 0.015 0.019 0.035 0.062 0.082 6.423 0.043 0.067 0.345 0.060 ms 12.94 219.6
Server Jitter 2620:149:a33:4000::31 (usnyc3-ntp-004.aaplimg.com) 0.005 0.011 0.015 3.410 49.432 57.129 74.493 49.417 57.118 17.025 13.764 ms 0.4236 2.364
Server Jitter PPS(0) 1.636 4.726 6.500 13.372 28.106 38.603 84.942 21.606 33.877 6.986 14.788 µs 6.283 23.11
Server Offset 132.246.11.238 1.734 1.828 1.860 1.948 2.142 11.496 11.595 0.281 9.669 1.237 2.119 ms 9.923 80.8
Server Offset 134.84.84.84 -378.917 -208.037 -31.594 43.695 97.882 125.130 188.360 129.476 333.167 51.378 37.995 µs -3.307 17.75
Server Offset 204.9.54.119 -9.729 0.027 0.036 0.057 0.091 9.788 19.388 0.055 9.760 2.004 0.337 ms 3.467 41.64
Server Offset 2600:2600::99 (ntp1.wiktel.com) -9.828 5.169 13.225 41.030 78.747 93.336 111.551 65.522 88.167 19.758 42.763 µs 5.498 14.85
Server Offset 2602:fde5:2a::12 1.024 1.464 1.479 1.521 2.102 2.117 2.138 0.623 0.654 0.269 1.694 ms 165.6 975.1
Server Offset 2606:4700:f1::123 (time.cloudflare.com) -3.976 -3.654 -3.522 -2.019 -1.732 -1.588 0.206 1.790 2.066 0.765 -2.486 ms -89.71 440.2
Server Offset 2607:f388::123:2 (ntp2.doit.wisc.edu) -1,417.409 -576.159 -521.882 -466.912 -402.327 -359.653 -316.544 119.555 216.506 81.142 -470.372 µs -343.3 2753
Server Offset 2610:20:6f96:96::6 (time-e-b.nist.gov) 219.064 236.657 249.474 280.980 323.889 348.233 371.179 74.415 111.576 22.954 283.210 µs 1492 1.732e+04
Server Offset 2620:149:a33:4000::31 (usnyc3-ntp-004.aaplimg.com) 748.270 759.575 770.143 799.731 851.608 871.358 900.907 81.465 111.783 25.260 804.238 µs 2.942e+04 9.102e+05
Server Offset PPS(0) -53.073 -20.126 -14.892 -1.955 21.286 34.539 73.555 36.178 54.665 11.236 0.007 µs -3.01 7.739
Temp ZONE0 31.000 31.000 32.000 33.000 34.000 34.000 35.000 2.000 3.000 0.734 32.718 °C
Temp ZONE1 36.000 37.000 37.000 38.000 39.000 39.000 40.000 2.000 2.000 0.712 37.933 °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.



This page autogenerated by ntpviz, part of the NTPsec project
html 5    Valid CSS!