NTPsec

crane1.services.mbix.ca

Report generated: Wed Sep 24 04:45:07 2025 UTC
Start Time: Wed Sep 17 04:45:05 2025 UTC
End Time: Wed Sep 24 04:45:05 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 -43.797 -22.646 -16.875 -3.069 28.064 38.568 73.013 44.939 61.214 13.465 -0.000 µs -2.98 6.924
Local Clock Frequency Offset 72.830 72.849 72.863 72.924 72.978 72.998 73.050 0.115 0.149 0.034 72.922 ppm 9.748e+09 2.082e+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 5.529 8.765 10.671 17.496 26.042 29.981 45.770 15.371 21.216 4.699 17.828 µs 30.62 115.8

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 2.000 3.236 3.917 6.305 9.077 10.494 17.638 5.160 7.258 1.590 6.381 ppb 36.82 145.6

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 -43.797 -22.646 -16.875 -3.069 28.064 38.568 73.013 44.939 61.214 13.465 -0.000 µs -2.98 6.924

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 72.830 72.849 72.863 72.924 72.978 72.998 73.050 0.115 0.149 0.034 72.922 ppm 9.748e+09 2.082e+13
Temp ZONE0 40.000 40.000 41.000 42.000 44.000 45.000 45.000 3.000 5.000 1.041 42.129 °C
Temp ZONE1 35.000 36.000 36.000 37.000 38.000 38.000 39.000 2.000 2.000 0.626 36.900 °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 -135.409 -59.460 -32.508 38.101 108.643 151.479 201.055 141.151 210.939 42.830 37.983 µs -0.2324 3.583

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 -40.646 -28.168 -15.608 16.176 47.167 61.584 100.497 62.775 89.752 18.993 15.879 µs -0.4053 3.313

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 -57.202 -5.692 248.138 293.230 334.985 358.321 2,700.696 86.847 364.013 82.395 291.517 µs 40.01 686.6

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) -2.430 21.637 91.624 358.802 390.169 403.989 419.098 298.545 382.352 72.271 343.585 µs 60.54 244.2

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 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 0.187 1.754 1.769 1.804 1.847 1.861 6.377 0.078 0.107 0.189 1.808 ms 672.2 6900

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) -3.181 -3.112 -3.012 -2.797 -2.541 -2.466 -2.267 0.470 0.646 0.140 -2.789 ms -9247 1.95e+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::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) -3.300 -3.165 -2.978 -2.784 -2.474 0.338 0.389 0.504 3.503 0.392 -2.729 ms -523.3 4255

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:f128:1:3::b

peer offset 2607:f128:1:3::b plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2607:f128:1:3::b 33.731 276.637 300.024 432.937 496.171 518.283 554.152 196.147 241.646 67.608 408.838 µs 143.1 793.1

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 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) -5.178 -0.598 -0.538 -0.468 -0.402 -0.231 0.076 0.136 0.367 0.213 -0.476 ms -63.98 887.3

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) -0.030 0.003 0.018 0.067 0.117 0.137 7.546 0.099 0.134 0.297 0.080 ms 21.28 521.3

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) 0.749 0.783 0.808 0.851 0.887 0.907 9.977 0.079 0.124 0.409 0.872 ms 23.59 459.7

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) -43.798 -22.647 -16.876 -3.070 28.065 38.569 73.014 44.941 61.216 13.466 -0.000 µs -2.98 6.924

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 0.006 0.012 0.016 0.033 0.074 0.100 8.235 0.058 0.088 0.354 0.055 ms 17.26 358.1

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 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 0.014 0.028 0.072 1.483 3.987 0.058 1.473 0.291 0.067 ms 6.987 79.68

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 0.010 0.015 0.021 0.059 1.259 2.400 7.237 1.238 2.384 0.483 0.221 ms 3.155 31.2

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 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) 6.061 9.374 12.807 25.031 50.729 213.024 1,217.977 37.922 203.650 53.188 31.267 µs 15.57 324.3

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 3.414 9.524 13.440 25.386 52.675 126.622 4,567.934 39.235 117.098 189.755 42.521 µs 15.03 315.8

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 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) 7.792 11.498 16.450 34.246 95.575 172.405 431.393 79.125 160.907 35.184 43.288 µs 5.351 41.16

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) 9.786 12.775 17.652 38.935 135.445 352.153 2,776.782 117.793 339.378 103.788 57.443 µs 17.03 432

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:f128:1:3::b

peer jitter 2607:f128:1:3::b plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2607:f128:1:3::b 10.055 13.159 17.648 33.772 68.362 112.119 3,361.138 50.714 98.960 130.538 44.550 µs 18.25 415.5

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 0.011 0.014 0.027 0.058 0.091 5.248 0.043 0.080 0.212 0.041 ms 17.99 392

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) 0.009 0.015 0.020 0.037 0.068 0.087 6.931 0.048 0.072 0.249 0.053 ms 19.61 491.8

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 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) 0.008 0.014 0.020 4.253 52.329 65.153 99.196 52.309 65.139 19.089 15.569 ms 0.4151 2.418

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) 1.542 4.730 6.758 16.204 33.744 43.426 80.939 26.986 38.696 8.415 17.662 µs 5.729 18.45

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 72.830 72.849 72.863 72.924 72.978 72.998 73.050 0.115 0.149 0.034 72.922 ppm 9.748e+09 2.082e+13
Local Clock Time Offset -43.797 -22.646 -16.875 -3.069 28.064 38.568 73.013 44.939 61.214 13.465 -0.000 µs -2.98 6.924
Local RMS Frequency Jitter 2.000 3.236 3.917 6.305 9.077 10.494 17.638 5.160 7.258 1.590 6.381 ppb 36.82 145.6
Local RMS Time Jitter 5.529 8.765 10.671 17.496 26.042 29.981 45.770 15.371 21.216 4.699 17.828 µs 30.62 115.8
Server Jitter 128.101.101.101 0.006 0.012 0.016 0.033 0.074 0.100 8.235 0.058 0.088 0.354 0.055 ms 17.26 358.1
Server Jitter 128.233.154.245 0.006 0.010 0.014 0.028 0.072 1.483 3.987 0.058 1.473 0.291 0.067 ms 6.987 79.68
Server Jitter 132.246.11.237 0.010 0.015 0.021 0.059 1.259 2.400 7.237 1.238 2.384 0.483 0.221 ms 3.155 31.2
Server Jitter 2600:2600::199 (ntp2.wiktel.com) 6.061 9.374 12.807 25.031 50.729 213.024 1,217.977 37.922 203.650 53.188 31.267 µs 15.57 324.3
Server Jitter 2602:fde5:2a::11 3.414 9.524 13.440 25.386 52.675 126.622 4,567.934 39.235 117.098 189.755 42.521 µs 15.03 315.8
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 7.792 11.498 16.450 34.246 95.575 172.405 431.393 79.125 160.907 35.184 43.288 µs 5.351 41.16
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 9.786 12.775 17.652 38.935 135.445 352.153 2,776.782 117.793 339.378 103.788 57.443 µs 17.03 432
Server Jitter 2607:f128:1:3::b 10.055 13.159 17.648 33.772 68.362 112.119 3,361.138 50.714 98.960 130.538 44.550 µs 18.25 415.5
Server Jitter 2607:f388::123:1 (ntp1.doit.wisc.edu) 0.006 0.011 0.014 0.027 0.058 0.091 5.248 0.043 0.080 0.212 0.041 ms 17.99 392
Server Jitter 2610:20:6f97:97::6 (time-e-wwv.nist.gov) 0.009 0.015 0.020 0.037 0.068 0.087 6.931 0.048 0.072 0.249 0.053 ms 19.61 491.8
Server Jitter 2620:149:a33:4000::31 (usnyc3-ntp-004.aaplimg.com) 0.008 0.014 0.020 4.253 52.329 65.153 99.196 52.309 65.139 19.089 15.569 ms 0.4151 2.418
Server Jitter PPS(0) 1.542 4.730 6.758 16.204 33.744 43.426 80.939 26.986 38.696 8.415 17.662 µs 5.729 18.45
Server Offset 128.101.101.101 -135.409 -59.460 -32.508 38.101 108.643 151.479 201.055 141.151 210.939 42.830 37.983 µs -0.2324 3.583
Server Offset 128.233.154.245 -40.646 -28.168 -15.608 16.176 47.167 61.584 100.497 62.775 89.752 18.993 15.879 µs -0.4053 3.313
Server Offset 132.246.11.237 -57.202 -5.692 248.138 293.230 334.985 358.321 2,700.696 86.847 364.013 82.395 291.517 µs 40.01 686.6
Server Offset 2600:2600::199 (ntp2.wiktel.com) -2.430 21.637 91.624 358.802 390.169 403.989 419.098 298.545 382.352 72.271 343.585 µs 60.54 244.2
Server Offset 2602:fde5:2a::11 0.187 1.754 1.769 1.804 1.847 1.861 6.377 0.078 0.107 0.189 1.808 ms 672.2 6900
Server Offset 2606:4700:f1::1 (time.cloudflare.com) -3.181 -3.112 -3.012 -2.797 -2.541 -2.466 -2.267 0.470 0.646 0.140 -2.789 ms -9247 1.95e+05
Server Offset 2606:4700:f1::123 (time.cloudflare.com) -3.300 -3.165 -2.978 -2.784 -2.474 0.338 0.389 0.504 3.503 0.392 -2.729 ms -523.3 4255
Server Offset 2607:f128:1:3::b 33.731 276.637 300.024 432.937 496.171 518.283 554.152 196.147 241.646 67.608 408.838 µs 143.1 793.1
Server Offset 2607:f388::123:1 (ntp1.doit.wisc.edu) -5.178 -0.598 -0.538 -0.468 -0.402 -0.231 0.076 0.136 0.367 0.213 -0.476 ms -63.98 887.3
Server Offset 2610:20:6f97:97::6 (time-e-wwv.nist.gov) -0.030 0.003 0.018 0.067 0.117 0.137 7.546 0.099 0.134 0.297 0.080 ms 21.28 521.3
Server Offset 2620:149:a33:4000::31 (usnyc3-ntp-004.aaplimg.com) 0.749 0.783 0.808 0.851 0.887 0.907 9.977 0.079 0.124 0.409 0.872 ms 23.59 459.7
Server Offset PPS(0) -43.798 -22.647 -16.876 -3.070 28.065 38.569 73.014 44.941 61.216 13.466 -0.000 µs -2.98 6.924
Temp ZONE0 40.000 40.000 41.000 42.000 44.000 45.000 45.000 3.000 5.000 1.041 42.129 °C
Temp ZONE1 35.000 36.000 36.000 37.000 38.000 38.000 39.000 2.000 2.000 0.626 36.900 °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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