NTPsec

crane1.services.mbix.ca

Report generated: Sun Jun 7 17:53:03 2026 UTC
Start Time: Sat Jun 6 17:53:03 2026 UTC
End Time: Sun Jun 7 17:53:03 2026 UTC
Report Period: 1.0 days

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Local Clock Time/Frequency Offsets

local offset plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Time Offset -35.449 -21.792 -16.700 -2.955 26.983 38.460 70.406 43.683 60.252 13.253 -0.003 µs -2.98 6.981
Local Clock Frequency Offset 73.043 73.055 73.065 73.107 73.143 73.156 73.195 0.077 0.101 0.025 73.105 ppm 2.608e+10 7.734e+13

The time and frequency offsets between the ntpd calculated time and the local system clock. Showing frequency offset (red, in parts per million, scale on right) and the time offset (blue, in μs, scale on left). Quick changes in time offset will lead to larger frequency offsets.

These are fields 3 (time) and 4 (frequency) from the loopstats log file.



Local RMS Time Jitter

local jitter plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local RMS Time Jitter 6.152 8.919 10.673 17.140 25.663 30.052 39.944 14.990 21.133 4.609 17.481 µs 30.69 117

The RMS Jitter of the local clock offset. In other words, how fast the local clock offset is changing.

Lower is better. An ideal system would be a horizontal line at 0μs.

RMS jitter is field 5 in the loopstats log file.



Local RMS Frequency Jitter

local stability plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local RMS Frequency Jitter 2.134 3.256 3.934 6.230 8.858 10.301 15.701 4.924 7.045 1.538 6.285 ppb 39.13 157.9

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 -35.449 -21.792 -16.700 -2.955 26.983 38.460 70.406 43.683 60.252 13.253 -0.003 µs -2.98 6.981

The clock offsets of the local clock as a histogram.

The Local Clock Offset is field 3 from the loopstats log file.



Local Temperatures

local temps plot

Local temperatures. These will be site-specific depending upon what temperature sensors you collect data from. Temperature changes affect the local clock crystal frequency and stability. The math of how temperature changes frequency is complex, and also depends on crystal aging. So there is no easy way to correct for it in software. This is the single most important component of frequency drift.

The Local Temperatures are from field 3 from the tempstats log file.



Local Frequency/Temp

local freq temps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 73.043 73.055 73.065 73.107 73.143 73.156 73.195 0.077 0.101 0.025 73.105 ppm 2.608e+10 7.734e+13
Temp ZONE0 39.000 39.000 40.000 42.000 44.000 44.000 44.000 4.000 5.000 1.144 41.794 °C
Temp ZONE1 37.000 37.000 37.000 38.000 39.000 40.000 40.000 2.000 3.000 0.656 38.253 °C

The frequency offsets and temperatures. Showing frequency offset (red, in parts per million, scale on right) and the temperatures.

These are field 4 (frequency) from the loopstats log file, and field 3 from the tempstats log file.



Server Offsets

peer offsets plot

The offset of all refclocks and servers. This can be useful to see if offset changes are happening in a single clock or all clocks together.

Clock Offset is field 5 in the peerstats log file.



Server Offset 128.101.101.101

peer offset 128.101.101.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 128.101.101.101 -239.254 -218.210 -96.191 15.470 260.687 339.553 348.879 356.878 557.763 105.570 40.772 µs -1.446 4.78

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 -11.093 -3.573 3.137 29.184 60.652 72.103 75.888 57.515 75.676 17.791 30.290 µs 2.62 6.165

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 132.246.11.238

peer offset 132.246.11.238 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 132.246.11.238 1.655 1.692 1.718 1.812 3.855 3.927 3.949 2.137 2.235 0.618 2.010 ms 20.83 88.01

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



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

peer offset 2600:2600::199 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2600:2600::199 (ntp2.wiktel.com) -30.964 -19.671 -5.192 22.963 60.064 71.861 85.501 65.256 91.532 19.457 24.760 µs 1.043 3.503

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 2602:fde5:2a::11

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

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2602:fde5:2a::11 1.446 1.449 1.467 1.511 2.092 2.108 2.121 0.625 0.659 0.244 1.637 ms 203.1 1278

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



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

peer offset 2606:4700:f1::1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2606:4700:f1::1 (time.cloudflare.com) -2.141 -2.109 -2.035 -1.905 -1.802 -1.763 -1.728 0.233 0.346 0.069 -1.909 ms -2.369e+04 6.821e+05

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



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

peer offset 2607:f388::123:1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2607:f388::123:1 (ntp1.doit.wisc.edu) -607.003 -593.857 -518.383 -462.559 -316.866 -244.712 -227.099 201.517 349.145 56.972 -455.669 µs -753.7 6985

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



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

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

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2610:20:6f97:97::6 (time-e-wwv.nist.gov) -52.218 -46.031 -31.992 9.333 63.994 100.157 113.389 95.986 146.188 30.653 13.913 µs -1.383 4.069

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



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

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

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 692.234 696.689 741.179 829.333 876.886 899.022 904.633 135.707 202.333 39.068 823.878 µs 8166 1.652e+05

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset PPS(0)

peer offset PPS(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset PPS(0) -35.450 -21.793 -16.701 -2.956 26.984 38.461 70.407 43.685 60.254 13.254 -0.004 µs -2.98 6.981

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Jitters

peer jitters plot

The RMS Jitter of all refclocks and servers. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 128.101.101.101

peer jitter 128.101.101.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 128.101.101.101 5.568 7.155 11.921 28.105 59.732 170.575 179.050 47.811 163.420 20.969 32.302 µs 5.439 33.43

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.



Server Jitter 128.233.154.245

peer jitter 128.233.154.245 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 128.233.154.245 5.871 7.801 12.005 24.070 54.156 73.579 222.738 42.151 65.778 20.430 27.895 µs 7.432 68.02

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 132.246.11.238

peer jitter 132.246.11.238 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 132.246.11.238 0.048 0.056 0.069 0.303 2.068 2.681 3.305 1.999 2.625 0.597 0.517 ms 2.044 7.781

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

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

RMS Jitter is field 8 in the peerstats log file.



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

peer jitter 2600:2600::199 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2600:2600::199 (ntp2.wiktel.com) 4.280 6.276 10.739 23.872 50.906 108.954 114.145 40.167 102.678 14.232 26.623 µs 5.819 28.25

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 2602:fde5:2a::11

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

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2602:fde5:2a::11 9.733 11.913 15.395 226.144 581.325 614.298 628.704 565.930 602.385 234.601 255.279 µs 0.4434 1.35

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

peer jitter 2606:4700:f1::1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 7.639 9.253 12.939 29.842 69.273 82.605 87.811 56.334 73.352 16.927 33.700 µs 4.867 13.91

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

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

RMS Jitter is field 8 in the peerstats log file.



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

peer jitter 2607:f388::123:1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2607:f388::123:1 (ntp1.doit.wisc.edu) 8.363 11.713 15.572 27.850 60.718 141.997 442.063 45.146 130.284 29.085 33.229 µs 10.56 143.2

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

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

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2610:20:6f97:97::6 (time-e-wwv.nist.gov) 10.840 14.649 19.567 37.923 69.745 92.730 193.301 50.178 78.081 19.823 41.007 µs 7.39 41.11

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.



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

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

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 0.006 0.021 0.065 6.210 58.133 68.244 87.429 58.068 68.223 20.142 16.082 ms 0.5325 2.788

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter PPS(0)

peer jitter PPS(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter PPS(0) 2.030 4.718 6.783 16.095 32.580 42.714 67.577 25.797 37.996 8.186 17.390 µs 5.932 19.46

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

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

RMS Jitter is field 8 in the peerstats log file.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 73.043 73.055 73.065 73.107 73.143 73.156 73.195 0.077 0.101 0.025 73.105 ppm 2.608e+10 7.734e+13
Local Clock Time Offset -35.449 -21.792 -16.700 -2.955 26.983 38.460 70.406 43.683 60.252 13.253 -0.003 µs -2.98 6.981
Local RMS Frequency Jitter 2.134 3.256 3.934 6.230 8.858 10.301 15.701 4.924 7.045 1.538 6.285 ppb 39.13 157.9
Local RMS Time Jitter 6.152 8.919 10.673 17.140 25.663 30.052 39.944 14.990 21.133 4.609 17.481 µs 30.69 117
Server Jitter 128.101.101.101 5.568 7.155 11.921 28.105 59.732 170.575 179.050 47.811 163.420 20.969 32.302 µs 5.439 33.43
Server Jitter 128.233.154.245 5.871 7.801 12.005 24.070 54.156 73.579 222.738 42.151 65.778 20.430 27.895 µs 7.432 68.02
Server Jitter 132.246.11.238 0.048 0.056 0.069 0.303 2.068 2.681 3.305 1.999 2.625 0.597 0.517 ms 2.044 7.781
Server Jitter 2600:2600::199 (ntp2.wiktel.com) 4.280 6.276 10.739 23.872 50.906 108.954 114.145 40.167 102.678 14.232 26.623 µs 5.819 28.25
Server Jitter 2602:fde5:2a::11 9.733 11.913 15.395 226.144 581.325 614.298 628.704 565.930 602.385 234.601 255.279 µs 0.4434 1.35
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 7.639 9.253 12.939 29.842 69.273 82.605 87.811 56.334 73.352 16.927 33.700 µs 4.867 13.91
Server Jitter 2607:f388::123:1 (ntp1.doit.wisc.edu) 8.363 11.713 15.572 27.850 60.718 141.997 442.063 45.146 130.284 29.085 33.229 µs 10.56 143.2
Server Jitter 2610:20:6f97:97::6 (time-e-wwv.nist.gov) 10.840 14.649 19.567 37.923 69.745 92.730 193.301 50.178 78.081 19.823 41.007 µs 7.39 41.11
Server Jitter 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 0.006 0.021 0.065 6.210 58.133 68.244 87.429 58.068 68.223 20.142 16.082 ms 0.5325 2.788
Server Jitter PPS(0) 2.030 4.718 6.783 16.095 32.580 42.714 67.577 25.797 37.996 8.186 17.390 µs 5.932 19.46
Server Offset 128.101.101.101 -239.254 -218.210 -96.191 15.470 260.687 339.553 348.879 356.878 557.763 105.570 40.772 µs -1.446 4.78
Server Offset 128.233.154.245 -11.093 -3.573 3.137 29.184 60.652 72.103 75.888 57.515 75.676 17.791 30.290 µs 2.62 6.165
Server Offset 132.246.11.238 1.655 1.692 1.718 1.812 3.855 3.927 3.949 2.137 2.235 0.618 2.010 ms 20.83 88.01
Server Offset 2600:2600::199 (ntp2.wiktel.com) -30.964 -19.671 -5.192 22.963 60.064 71.861 85.501 65.256 91.532 19.457 24.760 µs 1.043 3.503
Server Offset 2602:fde5:2a::11 1.446 1.449 1.467 1.511 2.092 2.108 2.121 0.625 0.659 0.244 1.637 ms 203.1 1278
Server Offset 2606:4700:f1::1 (time.cloudflare.com) -2.141 -2.109 -2.035 -1.905 -1.802 -1.763 -1.728 0.233 0.346 0.069 -1.909 ms -2.369e+04 6.821e+05
Server Offset 2607:f388::123:1 (ntp1.doit.wisc.edu) -607.003 -593.857 -518.383 -462.559 -316.866 -244.712 -227.099 201.517 349.145 56.972 -455.669 µs -753.7 6985
Server Offset 2610:20:6f97:97::6 (time-e-wwv.nist.gov) -52.218 -46.031 -31.992 9.333 63.994 100.157 113.389 95.986 146.188 30.653 13.913 µs -1.383 4.069
Server Offset 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 692.234 696.689 741.179 829.333 876.886 899.022 904.633 135.707 202.333 39.068 823.878 µs 8166 1.652e+05
Server Offset PPS(0) -35.450 -21.793 -16.701 -2.956 26.984 38.461 70.407 43.685 60.254 13.254 -0.004 µs -2.98 6.981
Temp ZONE0 39.000 39.000 40.000 42.000 44.000 44.000 44.000 4.000 5.000 1.144 41.794 °C
Temp ZONE1 37.000 37.000 37.000 38.000 39.000 40.000 40.000 2.000 3.000 0.656 38.253 °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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