NTPsec

A-ntpsec-72-hour-stats

Report generated: Sun Sep 8 00:07:47 2024 UTC
Start Time: Thu Sep 5 00:07:45 2024 UTC
End Time: Sun Sep 8 00:07:45 2024 UTC
Report published: Sat Sep 07 05:08:03 PM 2024 PDT
Report Period: 3.0 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 -3.889 -1.779 -1.217 0.029 1.078 1.506 6.090 2.295 3.285 0.705 -0.005 µs -4.26 11.52
Local Clock Frequency Offset -563.171 -556.717 -523.819 -368.744 -178.497 -163.193 -159.180 345.322 393.524 116.627 -358.294 ppb -79.61 374.1

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 0.361 0.507 0.604 0.877 1.254 1.446 3.126 0.650 0.939 0.202 0.897 µs 52.02 229.3

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 154.000 202.000 234.000 330.000 460.000 530.000 1,821.000 226.000 328.000 74.526 336.762 10e-12 56.75 302.7

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 -3.889 -1.779 -1.217 0.029 1.078 1.506 6.090 2.295 3.285 0.705 -0.005 µs -4.26 11.52

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 -563.171 -556.717 -523.819 -368.744 -178.497 -163.193 -159.180 345.322 393.524 116.627 -358.294 ppb -79.61 374.1
Temp ZONE0 43.470 44.008 44.008 45.622 47.774 48.312 48.312 3.766 4.304 1.121 45.860 °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 6.000 8.000 8.000 10.000 12.000 12.000 12.000 4.000 4.000 1.083 9.739 nSat 534.2 4467
TDOP 0.490 0.520 0.560 0.800 1.240 1.400 3.120 0.680 0.880 0.210 0.846 37.98 158.6

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 -0.081 1.389 3.658 4.759 8.742 11.357 11.587 5.084 9.968 1.528 5.143 ms 22.1 90.15

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 0.587 1.920 2.847 4.694 7.867 11.027 15.425 5.020 9.107 1.501 4.776 ms 18.9 79.29

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 -1.963 -0.106 0.790 2.877 5.945 8.274 10.057 5.155 8.380 1.580 2.759 ms 3.926 13.68

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 -6.106 -3.056 -2.144 0.709 4.273 7.288 24.939 6.417 10.344 2.169 0.900 ms 0.4813 19.67

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 -0.506 0.784 1.604 3.758 6.676 8.807 12.592 5.072 8.023 1.495 3.714 ms 9.15 34.63

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 5.161.184.148

peer offset 5.161.184.148 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 5.161.184.148 -1.145 1.582 2.404 6.696 9.492 13.308 14.110 7.087 11.726 2.068 6.369 ms 15.25 49.83

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 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 2.591 3.354 4.314 5.847 8.662 11.944 14.656 4.348 8.591 1.417 6.095 ms 48.08 224.4

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 -1.381 1.160 2.254 3.968 7.035 9.311 12.264 4.781 8.151 1.470 4.124 ms 12.78 48.76

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 -3.244 -0.668 0.598 2.859 5.810 7.753 10.207 5.213 8.421 1.561 2.771 ms 3.61 12.66

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 -0.939 0.368 1.167 3.332 6.334 9.554 14.117 5.167 9.185 1.652 3.280 ms 5.694 23.72

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) -102.307 -101.332 -99.981 -97.022 -94.912 -94.131 -92.614 5.069 7.202 1.496 -97.185 ms -2.874e+05 1.897e+07

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) -3.890 -1.780 -1.218 0.030 1.079 1.507 6.091 2.297 3.287 0.706 -0.005 µs -4.26 11.51

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 0.632 0.852 1.045 2.658 18.909 22.484 23.779 17.864 21.631 6.010 5.928 ms 1.212 3.228

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 0.147 0.504 0.842 2.605 15.861 22.235 27.315 15.019 21.731 5.050 5.090 ms 1.552 4.817

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 0.333 0.747 1.073 2.937 18.261 24.697 33.704 17.188 23.949 5.896 5.796 ms 1.611 5.186

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 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 0.861 1.047 1.469 3.883 18.134 25.251 33.639 16.665 24.204 5.546 6.242 ms 2.115 7.029

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 0.271 0.765 1.102 3.188 16.829 20.200 29.254 15.727 19.434 5.140 5.568 ms 1.727 4.989

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 5.161.184.148

peer jitter 5.161.184.148 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 5.161.184.148 0.355 0.586 0.955 2.978 17.680 21.425 32.761 16.725 20.840 5.851 6.029 ms 1.273 3.49

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 0.248 0.717 1.040 2.859 16.984 22.264 29.671 15.944 21.547 5.477 5.554 ms 1.45 4.265

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 0.151 0.561 0.880 2.703 17.229 21.877 31.451 16.349 21.316 5.495 5.438 ms 1.418 4.261

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 0.198 0.653 1.014 3.226 17.916 22.362 26.645 16.902 21.709 5.445 5.726 ms 1.534 4.27

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 0.377 0.711 0.975 2.711 17.007 22.390 34.030 16.032 21.678 5.520 5.428 ms 1.566 5.248

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) 0.032 0.075 0.110 0.323 1.013 1.436 2.732 0.903 1.361 0.300 0.414 ms 2.802 9.711

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) 0.161 0.330 0.444 0.851 1.642 2.117 5.532 1.198 1.787 0.379 0.923 µs 8.571 30.86

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.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset -563.171 -556.717 -523.819 -368.744 -178.497 -163.193 -159.180 345.322 393.524 116.627 -358.294 ppb -79.61 374.1
Local Clock Time Offset -3.889 -1.779 -1.217 0.029 1.078 1.506 6.090 2.295 3.285 0.705 -0.005 µs -4.26 11.52
Local RMS Frequency Jitter 154.000 202.000 234.000 330.000 460.000 530.000 1,821.000 226.000 328.000 74.526 336.762 10e-12 56.75 302.7
Local RMS Time Jitter 0.361 0.507 0.604 0.877 1.254 1.446 3.126 0.650 0.939 0.202 0.897 µs 52.02 229.3
Server Jitter 162.159.200.1 0.632 0.852 1.045 2.658 18.909 22.484 23.779 17.864 21.631 6.010 5.928 ms 1.212 3.228
Server Jitter 162.159.200.123 0.147 0.504 0.842 2.605 15.861 22.235 27.315 15.019 21.731 5.050 5.090 ms 1.552 4.817
Server Jitter 169.229.128.134 0.333 0.747 1.073 2.937 18.261 24.697 33.704 17.188 23.949 5.896 5.796 ms 1.611 5.186
Server Jitter 173.11.101.155 0.861 1.047 1.469 3.883 18.134 25.251 33.639 16.665 24.204 5.546 6.242 ms 2.115 7.029
Server Jitter 192.12.19.20 0.271 0.765 1.102 3.188 16.829 20.200 29.254 15.727 19.434 5.140 5.568 ms 1.727 4.989
Server Jitter 5.161.184.148 0.355 0.586 0.955 2.978 17.680 21.425 32.761 16.725 20.840 5.851 6.029 ms 1.273 3.49
Server Jitter 50.116.42.84 0.248 0.717 1.040 2.859 16.984 22.264 29.671 15.944 21.547 5.477 5.554 ms 1.45 4.265
Server Jitter 52.10.183.132 0.151 0.561 0.880 2.703 17.229 21.877 31.451 16.349 21.316 5.495 5.438 ms 1.418 4.261
Server Jitter 64.142.122.36 0.198 0.653 1.014 3.226 17.916 22.362 26.645 16.902 21.709 5.445 5.726 ms 1.534 4.27
Server Jitter 66.220.9.122 0.377 0.711 0.975 2.711 17.007 22.390 34.030 16.032 21.678 5.520 5.428 ms 1.566 5.248
Server Jitter SHM(0) 0.032 0.075 0.110 0.323 1.013 1.436 2.732 0.903 1.361 0.300 0.414 ms 2.802 9.711
Server Jitter SHM(1) 0.161 0.330 0.444 0.851 1.642 2.117 5.532 1.198 1.787 0.379 0.923 µs 8.571 30.86
Server Offset 162.159.200.1 -0.081 1.389 3.658 4.759 8.742 11.357 11.587 5.084 9.968 1.528 5.143 ms 22.1 90.15
Server Offset 162.159.200.123 0.587 1.920 2.847 4.694 7.867 11.027 15.425 5.020 9.107 1.501 4.776 ms 18.9 79.29
Server Offset 169.229.128.134 -1.963 -0.106 0.790 2.877 5.945 8.274 10.057 5.155 8.380 1.580 2.759 ms 3.926 13.68
Server Offset 173.11.101.155 -6.106 -3.056 -2.144 0.709 4.273 7.288 24.939 6.417 10.344 2.169 0.900 ms 0.4813 19.67
Server Offset 192.12.19.20 -0.506 0.784 1.604 3.758 6.676 8.807 12.592 5.072 8.023 1.495 3.714 ms 9.15 34.63
Server Offset 5.161.184.148 -1.145 1.582 2.404 6.696 9.492 13.308 14.110 7.087 11.726 2.068 6.369 ms 15.25 49.83
Server Offset 50.116.42.84 2.591 3.354 4.314 5.847 8.662 11.944 14.656 4.348 8.591 1.417 6.095 ms 48.08 224.4
Server Offset 52.10.183.132 -1.381 1.160 2.254 3.968 7.035 9.311 12.264 4.781 8.151 1.470 4.124 ms 12.78 48.76
Server Offset 64.142.122.36 -3.244 -0.668 0.598 2.859 5.810 7.753 10.207 5.213 8.421 1.561 2.771 ms 3.61 12.66
Server Offset 66.220.9.122 -0.939 0.368 1.167 3.332 6.334 9.554 14.117 5.167 9.185 1.652 3.280 ms 5.694 23.72
Server Offset SHM(0) -102.307 -101.332 -99.981 -97.022 -94.912 -94.131 -92.614 5.069 7.202 1.496 -97.185 ms -2.874e+05 1.897e+07
Server Offset SHM(1) -3.890 -1.780 -1.218 0.030 1.079 1.507 6.091 2.297 3.287 0.706 -0.005 µs -4.26 11.51
TDOP 0.490 0.520 0.560 0.800 1.240 1.400 3.120 0.680 0.880 0.210 0.846 37.98 158.6
Temp ZONE0 43.470 44.008 44.008 45.622 47.774 48.312 48.312 3.766 4.304 1.121 45.860 °C
nSats 6.000 8.000 8.000 10.000 12.000 12.000 12.000 4.000 4.000 1.083 9.739 nSat 534.2 4467
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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