NTPsec

A-ntpsec-24-hour-stats

Report generated: Thu Nov 21 09:07:39 2024 UTC
Start Time: Wed Nov 20 09:07:39 2024 UTC
End Time: Thu Nov 21 09:07:39 2024 UTC
Report published: Thu Nov 21 01:07:47 AM 2024 PST
Report Period: 1.0 days

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 -2.504 -1.465 -1.046 0.027 0.953 1.356 2.091 1.999 2.821 0.602 0.004 µs -4.16 10.71
Local Clock Frequency Offset -784.332 -783.020 -775.970 -605.484 -552.322 -550.095 -547.653 223.648 232.925 76.215 -633.303 ppb -835.4 8056

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 0.367 0.471 0.540 0.787 1.108 1.253 1.582 0.568 0.782 0.174 0.801 µs 57.61 253.8

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 126.000 180.000 205.000 285.000 387.000 438.000 562.000 182.000 258.000 55.747 289.288 10e-12 86.57 424.7

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 -2.504 -1.465 -1.046 0.027 0.953 1.356 2.091 1.999 2.821 0.602 0.004 µs -4.16 10.71

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 -784.332 -783.020 -775.970 -605.484 -552.322 -550.095 -547.653 223.648 232.925 76.215 -633.303 ppb -835.4 8056
Temp ZONE0 41.856 41.856 42.394 44.008 44.546 44.546 45.084 2.152 2.690 0.648 43.584 °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.



Local GPS

local gps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
nSats 7.000 7.000 8.000 10.000 12.000 13.000 13.000 4.000 6.000 1.123 9.681 nSat 466.2 3739
TDOP 0.490 0.500 0.550 0.800 1.270 1.980 2.060 0.720 1.480 0.253 0.868 23.11 92.41

Local GPS. The Time Dilution of Precision (TDOP) is plotted in blue. The number of visible satellites (nSat) is plotted in red.

TDOP is field 3, and nSats is field 4, from the gpsd log file. The gpsd log file is created by the ntploggps program.

TDOP is a dimensionless error factor. Smaller numbers are better. TDOP ranges from 1 (ideal), 2 to 5 (good), to greater than 20 (poor). Some GNSS receivers report TDOP less than one which is theoretically impossible.



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 162.159.200.1

peer offset 162.159.200.1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 162.159.200.1 2.455 2.956 3.232 3.834 4.370 4.714 6.025 1.138 1.758 0.363 3.808 ms 885.9 8725

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 162.159.200.123

peer offset 162.159.200.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 162.159.200.123 3.016 3.016 3.258 3.806 4.622 4.698 4.698 1.364 1.682 0.387 3.845 ms 743.7 6910

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 169.229.128.134

peer offset 169.229.128.134 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 169.229.128.134 0.391 0.838 1.318 1.960 2.703 3.877 4.015 1.386 3.039 0.428 1.953 ms 57.01 263.7

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 173.11.101.155

peer offset 173.11.101.155 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 173.11.101.155 -5.397 -3.441 -2.362 0.297 3.410 4.604 5.354 5.773 8.045 1.693 0.298 ms -2.915 7.348

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 178.156.145.5

peer offset 178.156.145.5 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 178.156.145.5 0.316 0.482 3.666 5.139 5.745 6.071 7.549 2.079 5.589 0.919 4.806 ms 86.45 405.7

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 192.12.19.20

peer offset 192.12.19.20 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 192.12.19.20 -16.519 -16.487 -13.914 -12.424 4.297 8.700 19.224 18.211 25.187 7.870 -6.880 ms -11.55 30.47

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 50.116.42.84

peer offset 50.116.42.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 50.116.42.84 0.357 0.546 3.275 4.240 5.623 5.900 6.226 2.349 5.353 0.894 4.326 ms 66.99 295.3

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 52.10.183.132

peer offset 52.10.183.132 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 52.10.183.132 1.050 1.248 1.928 2.698 4.329 4.714 5.041 2.401 3.466 0.682 2.789 ms 39.45 161.1

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 64.142.122.36

peer offset 64.142.122.36 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 64.142.122.36 0.288 1.372 1.793 2.238 2.646 3.426 3.748 0.853 2.054 0.310 2.239 ms 260.1 1753

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 66.220.9.122

peer offset 66.220.9.122 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 66.220.9.122 0.250 1.418 2.152 2.623 3.075 3.831 4.708 0.923 2.412 0.364 2.620 ms 257.1 1721

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 SHM(0)

peer offset SHM(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset SHM(0) -36.581 -35.970 -33.722 -30.966 -28.900 -27.970 -27.342 4.822 8.000 1.449 -31.128 ms -1.143e+04 2.586e+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 SHM(1)

peer offset SHM(1) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset SHM(1) -2.505 -1.466 -1.047 0.028 0.954 1.357 2.092 2.001 2.823 0.603 0.004 µs -4.159 10.7

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 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 162.159.200.1

peer jitter 162.159.200.1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 162.159.200.1 0.289 0.770 0.993 2.202 7.952 12.476 47.883 6.959 11.706 4.821 3.287 ms 6.545 59.31

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 162.159.200.123

peer jitter 162.159.200.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 162.159.200.123 0.613 0.613 1.022 2.510 6.432 8.176 8.176 5.410 7.563 1.824 3.032 ms 3.218 8.201

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 169.229.128.134

peer jitter 169.229.128.134 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 169.229.128.134 0.219 0.338 0.793 2.675 7.293 18.865 21.527 6.500 18.528 2.919 3.396 ms 3.863 21.03

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 173.11.101.155

peer jitter 173.11.101.155 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 173.11.101.155 0.979 1.669 2.157 4.110 8.900 19.374 20.339 6.742 17.705 2.655 4.709 ms 5.631 27.86

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 178.156.145.5

peer jitter 178.156.145.5 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 178.156.145.5 0.462 0.760 1.013 2.490 9.004 19.048 19.276 7.991 18.288 2.747 3.377 ms 3.773 19.12

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 192.12.19.20

peer jitter 192.12.19.20 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 192.12.19.20 0.000 0.000 0.000 2.420 14.451 25.810 26.330 14.451 25.810 4.956 4.142 ms 1.864 8.022

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 50.116.42.84

peer jitter 50.116.42.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 50.116.42.84 0.435 0.733 0.911 2.454 7.967 15.356 34.759 7.056 14.622 2.998 3.287 ms 5.341 47.01

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 52.10.183.132

peer jitter 52.10.183.132 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 52.10.183.132 0.387 0.542 1.161 2.991 7.365 14.108 23.055 6.204 13.565 2.380 3.476 ms 4.637 28.3

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 64.142.122.36

peer jitter 64.142.122.36 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 64.142.122.36 0.222 0.461 0.858 2.113 6.527 21.383 48.701 5.669 20.922 4.409 3.074 ms 7.04 70.58

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 66.220.9.122

peer jitter 66.220.9.122 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 66.220.9.122 0.453 0.505 1.042 2.533 7.460 14.835 15.585 6.418 14.331 2.387 3.365 ms 3.346 13.2

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 SHM(0)

peer jitter SHM(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter SHM(0) 0.031 0.070 0.105 0.304 0.907 1.250 2.069 0.802 1.180 0.260 0.377 ms 3.021 10.28

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 SHM(1)

peer jitter SHM(1) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter SHM(1) 0.137 0.287 0.387 0.739 1.410 1.763 2.780 1.023 1.476 0.317 0.798 µs 9.122 30.5

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.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset -784.332 -783.020 -775.970 -605.484 -552.322 -550.095 -547.653 223.648 232.925 76.215 -633.303 ppb -835.4 8056
Local Clock Time Offset -2.504 -1.465 -1.046 0.027 0.953 1.356 2.091 1.999 2.821 0.602 0.004 µs -4.16 10.71
Local RMS Frequency Jitter 126.000 180.000 205.000 285.000 387.000 438.000 562.000 182.000 258.000 55.747 289.288 10e-12 86.57 424.7
Local RMS Time Jitter 0.367 0.471 0.540 0.787 1.108 1.253 1.582 0.568 0.782 0.174 0.801 µs 57.61 253.8
Server Jitter 162.159.200.1 0.289 0.770 0.993 2.202 7.952 12.476 47.883 6.959 11.706 4.821 3.287 ms 6.545 59.31
Server Jitter 162.159.200.123 0.613 0.613 1.022 2.510 6.432 8.176 8.176 5.410 7.563 1.824 3.032 ms 3.218 8.201
Server Jitter 169.229.128.134 0.219 0.338 0.793 2.675 7.293 18.865 21.527 6.500 18.528 2.919 3.396 ms 3.863 21.03
Server Jitter 173.11.101.155 0.979 1.669 2.157 4.110 8.900 19.374 20.339 6.742 17.705 2.655 4.709 ms 5.631 27.86
Server Jitter 178.156.145.5 0.462 0.760 1.013 2.490 9.004 19.048 19.276 7.991 18.288 2.747 3.377 ms 3.773 19.12
Server Jitter 192.12.19.20 0.000 0.000 0.000 2.420 14.451 25.810 26.330 14.451 25.810 4.956 4.142 ms 1.864 8.022
Server Jitter 50.116.42.84 0.435 0.733 0.911 2.454 7.967 15.356 34.759 7.056 14.622 2.998 3.287 ms 5.341 47.01
Server Jitter 52.10.183.132 0.387 0.542 1.161 2.991 7.365 14.108 23.055 6.204 13.565 2.380 3.476 ms 4.637 28.3
Server Jitter 64.142.122.36 0.222 0.461 0.858 2.113 6.527 21.383 48.701 5.669 20.922 4.409 3.074 ms 7.04 70.58
Server Jitter 66.220.9.122 0.453 0.505 1.042 2.533 7.460 14.835 15.585 6.418 14.331 2.387 3.365 ms 3.346 13.2
Server Jitter SHM(0) 0.031 0.070 0.105 0.304 0.907 1.250 2.069 0.802 1.180 0.260 0.377 ms 3.021 10.28
Server Jitter SHM(1) 0.137 0.287 0.387 0.739 1.410 1.763 2.780 1.023 1.476 0.317 0.798 µs 9.122 30.5
Server Offset 162.159.200.1 2.455 2.956 3.232 3.834 4.370 4.714 6.025 1.138 1.758 0.363 3.808 ms 885.9 8725
Server Offset 162.159.200.123 3.016 3.016 3.258 3.806 4.622 4.698 4.698 1.364 1.682 0.387 3.845 ms 743.7 6910
Server Offset 169.229.128.134 0.391 0.838 1.318 1.960 2.703 3.877 4.015 1.386 3.039 0.428 1.953 ms 57.01 263.7
Server Offset 173.11.101.155 -5.397 -3.441 -2.362 0.297 3.410 4.604 5.354 5.773 8.045 1.693 0.298 ms -2.915 7.348
Server Offset 178.156.145.5 0.316 0.482 3.666 5.139 5.745 6.071 7.549 2.079 5.589 0.919 4.806 ms 86.45 405.7
Server Offset 192.12.19.20 -16.519 -16.487 -13.914 -12.424 4.297 8.700 19.224 18.211 25.187 7.870 -6.880 ms -11.55 30.47
Server Offset 50.116.42.84 0.357 0.546 3.275 4.240 5.623 5.900 6.226 2.349 5.353 0.894 4.326 ms 66.99 295.3
Server Offset 52.10.183.132 1.050 1.248 1.928 2.698 4.329 4.714 5.041 2.401 3.466 0.682 2.789 ms 39.45 161.1
Server Offset 64.142.122.36 0.288 1.372 1.793 2.238 2.646 3.426 3.748 0.853 2.054 0.310 2.239 ms 260.1 1753
Server Offset 66.220.9.122 0.250 1.418 2.152 2.623 3.075 3.831 4.708 0.923 2.412 0.364 2.620 ms 257.1 1721
Server Offset SHM(0) -36.581 -35.970 -33.722 -30.966 -28.900 -27.970 -27.342 4.822 8.000 1.449 -31.128 ms -1.143e+04 2.586e+05
Server Offset SHM(1) -2.505 -1.466 -1.047 0.028 0.954 1.357 2.092 2.001 2.823 0.603 0.004 µs -4.159 10.7
TDOP 0.490 0.500 0.550 0.800 1.270 1.980 2.060 0.720 1.480 0.253 0.868 23.11 92.41
Temp ZONE0 41.856 41.856 42.394 44.008 44.546 44.546 45.084 2.152 2.690 0.648 43.584 °C
nSats 7.000 7.000 8.000 10.000 12.000 13.000 13.000 4.000 6.000 1.123 9.681 nSat 466.2 3739
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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