NTPsec

time.achjoj.info

Report generated: Sun Jun 14 16:33:02 2026 UTC
Start Time: Sat Jun 13 14:09:02 2026 UTC
End Time: Sun Jun 14 16:33:02 2026 UTC
Report Period: 1.1 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 -14.673 -8.193 -4.420 -0.050 2.751 5.535 10.053 7.171 13.728 2.341 -0.354 ms -5.854 20.9
Local Clock Frequency Offset 7.841 14.898 17.122 21.552 38.983 46.269 48.190 21.861 31.371 6.713 23.880 ppm 25.85 101.7

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 0.447 0.658 0.849 1.550 3.306 4.417 6.166 2.456 3.758 0.799 1.766 ms 6.695 22.33

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 0.116 0.150 0.196 0.531 2.562 4.769 7.198 2.365 4.618 0.882 0.849 ppm 2.689 12.98

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 -14.673 -8.193 -4.420 -0.050 2.751 5.535 10.053 7.171 13.728 2.341 -0.354 ms -5.854 20.9

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 7.841 14.898 17.122 21.552 38.983 46.269 48.190 21.861 31.371 6.713 23.880 ppm 25.85 101.7
Temp /dev/sdb 32.000 32.000 32.000 33.000 34.000 34.000 34.000 2.000 2.000 0.619 32.876 °C
Temp LM0 17.000 17.000 17.000 19.000 22.000 23.000 23.000 5.000 6.000 1.480 19.446 °C
Temp LM1 16.000 16.000 16.000 18.000 21.000 22.000 23.000 5.000 6.000 1.426 18.322 °C
Temp LM2 50.000 50.000 50.000 51.000 53.000 53.000 54.000 3.000 3.000 0.825 51.220 °C
Temp LM3 20.500 20.500 21.000 21.500 24.000 24.000 24.000 3.000 3.500 0.835 21.960 °C
Temp LM4 19.500 19.500 21.000 21.500 24.000 24.000 24.000 3.000 4.500 0.887 21.927 °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 3.000 4.000 5.000 7.000 9.000 10.000 10.000 4.000 6.000 1.275 7.169 nSat 112.6 584.8
TDOP 0.580 0.640 0.740 1.170 2.650 3.960 4.840 1.910 3.320 0.625 1.337 7.35 32.19

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 150.254.190.51

peer offset 150.254.190.51 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 150.254.190.51 -18.158 -15.118 -10.312 -3.859 0.885 3.836 4.509 11.197 18.954 3.516 -4.183 ms -17.67 61.58

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 153.19.250.123

peer offset 153.19.250.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 153.19.250.123 -19.599 -16.177 -11.508 -4.979 0.784 2.984 3.221 12.292 19.160 3.644 -5.299 ms -22.65 81.83

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 193.110.137.171

peer offset 193.110.137.171 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 193.110.137.171 -19.506 -15.761 -12.236 -5.036 0.309 2.719 3.443 12.544 18.480 3.524 -5.473 ms -24.88 92.13

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 194.146.251.100

peer offset 194.146.251.100 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 194.146.251.100 -19.130 -16.686 -12.821 -5.167 -0.050 2.313 3.345 12.771 18.999 3.659 -5.599 ms -24.49 90.8

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 194.146.251.101

peer offset 194.146.251.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 194.146.251.101 -18.861 -16.491 -12.555 -4.983 -0.440 2.511 2.799 12.114 19.002 3.678 -5.609 ms -24.43 90.75

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 194.29.130.252

peer offset 194.29.130.252 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 194.29.130.252 -16.353 -15.803 -11.483 -5.071 0.993 2.876 3.582 12.476 18.679 3.468 -5.318 ms -24.1 86.05

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 195.187.245.55

peer offset 195.187.245.55 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 195.187.245.55 -19.774 -17.922 -12.888 -5.504 0.023 2.574 3.035 12.911 20.496 3.707 -5.927 ms -25.97 96.98

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 213.135.57.60

peer offset 213.135.57.60 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 213.135.57.60 -19.222 -16.787 -11.712 -5.154 -0.246 2.501 3.278 11.466 19.287 3.463 -5.474 ms -25.56 95.79

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) -8.222 -2.664 -0.130 6.368 18.331 20.749 23.605 18.461 23.413 5.771 7.562 ms 1.434 3.581

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 150.254.190.51

peer jitter 150.254.190.51 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 150.254.190.51 0.623 0.631 0.828 2.463 8.578 13.141 14.801 7.751 12.510 2.512 3.321 ms 2.699 9.071

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 153.19.250.123

peer jitter 153.19.250.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 153.19.250.123 0.388 0.496 0.745 2.307 7.511 14.146 18.788 6.765 13.650 2.496 2.953 ms 3.459 17.1

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 193.110.137.171

peer jitter 193.110.137.171 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 193.110.137.171 0.431 0.470 0.729 2.417 9.275 11.724 21.959 8.546 11.254 2.803 3.284 ms 2.825 13.05

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 194.146.251.100

peer jitter 194.146.251.100 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 194.146.251.100 0.320 0.429 0.843 2.641 8.828 15.675 17.194 7.986 15.246 2.952 3.545 ms 2.895 11.2

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 194.146.251.101

peer jitter 194.146.251.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 194.146.251.101 0.138 0.528 0.775 2.549 8.633 14.781 17.860 7.857 14.253 2.729 3.407 ms 2.904 11.5

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 194.29.130.252

peer jitter 194.29.130.252 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 194.29.130.252 0.413 0.559 0.857 2.565 8.722 13.515 15.627 7.865 12.955 2.504 3.285 ms 2.827 10.2

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 195.187.245.55

peer jitter 195.187.245.55 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 195.187.245.55 0.363 0.455 0.734 2.428 8.955 16.994 22.628 8.221 16.539 2.936 3.298 ms 3.332 16.22

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 213.135.57.60

peer jitter 213.135.57.60 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 213.135.57.60 0.276 0.421 0.767 2.315 8.151 15.620 16.833 7.384 15.199 2.599 3.143 ms 3.208 13.86

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 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) 0.224 0.568 0.866 2.200 5.315 7.331 10.336 4.449 6.763 1.425 2.532 ms 4.177 13.71

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 7.841 14.898 17.122 21.552 38.983 46.269 48.190 21.861 31.371 6.713 23.880 ppm 25.85 101.7
Local Clock Time Offset -14.673 -8.193 -4.420 -0.050 2.751 5.535 10.053 7.171 13.728 2.341 -0.354 ms -5.854 20.9
Local RMS Frequency Jitter 0.116 0.150 0.196 0.531 2.562 4.769 7.198 2.365 4.618 0.882 0.849 ppm 2.689 12.98
Local RMS Time Jitter 0.447 0.658 0.849 1.550 3.306 4.417 6.166 2.456 3.758 0.799 1.766 ms 6.695 22.33
Server Jitter 150.254.190.51 0.623 0.631 0.828 2.463 8.578 13.141 14.801 7.751 12.510 2.512 3.321 ms 2.699 9.071
Server Jitter 153.19.250.123 0.388 0.496 0.745 2.307 7.511 14.146 18.788 6.765 13.650 2.496 2.953 ms 3.459 17.1
Server Jitter 193.110.137.171 0.431 0.470 0.729 2.417 9.275 11.724 21.959 8.546 11.254 2.803 3.284 ms 2.825 13.05
Server Jitter 194.146.251.100 0.320 0.429 0.843 2.641 8.828 15.675 17.194 7.986 15.246 2.952 3.545 ms 2.895 11.2
Server Jitter 194.146.251.101 0.138 0.528 0.775 2.549 8.633 14.781 17.860 7.857 14.253 2.729 3.407 ms 2.904 11.5
Server Jitter 194.29.130.252 0.413 0.559 0.857 2.565 8.722 13.515 15.627 7.865 12.955 2.504 3.285 ms 2.827 10.2
Server Jitter 195.187.245.55 0.363 0.455 0.734 2.428 8.955 16.994 22.628 8.221 16.539 2.936 3.298 ms 3.332 16.22
Server Jitter 213.135.57.60 0.276 0.421 0.767 2.315 8.151 15.620 16.833 7.384 15.199 2.599 3.143 ms 3.208 13.86
Server Jitter SHM(0) 0.224 0.568 0.866 2.200 5.315 7.331 10.336 4.449 6.763 1.425 2.532 ms 4.177 13.71
Server Offset 150.254.190.51 -18.158 -15.118 -10.312 -3.859 0.885 3.836 4.509 11.197 18.954 3.516 -4.183 ms -17.67 61.58
Server Offset 153.19.250.123 -19.599 -16.177 -11.508 -4.979 0.784 2.984 3.221 12.292 19.160 3.644 -5.299 ms -22.65 81.83
Server Offset 193.110.137.171 -19.506 -15.761 -12.236 -5.036 0.309 2.719 3.443 12.544 18.480 3.524 -5.473 ms -24.88 92.13
Server Offset 194.146.251.100 -19.130 -16.686 -12.821 -5.167 -0.050 2.313 3.345 12.771 18.999 3.659 -5.599 ms -24.49 90.8
Server Offset 194.146.251.101 -18.861 -16.491 -12.555 -4.983 -0.440 2.511 2.799 12.114 19.002 3.678 -5.609 ms -24.43 90.75
Server Offset 194.29.130.252 -16.353 -15.803 -11.483 -5.071 0.993 2.876 3.582 12.476 18.679 3.468 -5.318 ms -24.1 86.05
Server Offset 195.187.245.55 -19.774 -17.922 -12.888 -5.504 0.023 2.574 3.035 12.911 20.496 3.707 -5.927 ms -25.97 96.98
Server Offset 213.135.57.60 -19.222 -16.787 -11.712 -5.154 -0.246 2.501 3.278 11.466 19.287 3.463 -5.474 ms -25.56 95.79
Server Offset SHM(0) -8.222 -2.664 -0.130 6.368 18.331 20.749 23.605 18.461 23.413 5.771 7.562 ms 1.434 3.581
TDOP 0.580 0.640 0.740 1.170 2.650 3.960 4.840 1.910 3.320 0.625 1.337 7.35 32.19
Temp /dev/sdb 32.000 32.000 32.000 33.000 34.000 34.000 34.000 2.000 2.000 0.619 32.876 °C
Temp LM0 17.000 17.000 17.000 19.000 22.000 23.000 23.000 5.000 6.000 1.480 19.446 °C
Temp LM1 16.000 16.000 16.000 18.000 21.000 22.000 23.000 5.000 6.000 1.426 18.322 °C
Temp LM2 50.000 50.000 50.000 51.000 53.000 53.000 54.000 3.000 3.000 0.825 51.220 °C
Temp LM3 20.500 20.500 21.000 21.500 24.000 24.000 24.000 3.000 3.500 0.835 21.960 °C
Temp LM4 19.500 19.500 21.000 21.500 24.000 24.000 24.000 3.000 4.500 0.887 21.927 °C
nSats 3.000 4.000 5.000 7.000 9.000 10.000 10.000 4.000 6.000 1.275 7.169 nSat 112.6 584.8
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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