NTPsec

A-ntpsec-12-hour-stats

Report generated: Thu Nov 21 07:06:33 2024 UTC
Start Time: Wed Nov 20 19:06:32 2024 UTC
End Time: Thu Nov 21 07:06:32 2024 UTC
Report published: Wed Nov 20 11:06:39 PM 2024 PST
Report Period: 0.5 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 -1.414 -1.019 0.059 0.982 1.362 1.865 2.001 2.776 0.598 0.036 µs -3.852 9.884
Local Clock Frequency Offset -657.822 -655.304 -644.073 -569.733 -551.361 -548.981 -547.653 92.712 106.323 28.242 -577.707 ppb -9943 2.148e+05

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 0.475 0.549 0.796 1.113 1.271 1.524 0.564 0.796 0.173 0.809 µs 61.27 274.5

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 139.000 177.000 204.000 284.000 383.000 435.000 562.000 179.000 258.000 55.139 287.985 10e-12 88.42 436

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 -1.414 -1.019 0.059 0.982 1.362 1.865 2.001 2.776 0.598 0.036 µs -3.852 9.884

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 -657.822 -655.304 -644.073 -569.733 -551.361 -548.981 -547.653 92.712 106.323 28.242 -577.707 ppb -9943 2.148e+05
Temp ZONE0 42.932 42.932 43.470 44.008 44.546 45.084 45.084 1.076 2.152 0.353 44.017 °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 1.152 9.839 nSat 452 3589
TDOP 0.490 0.500 0.540 0.800 1.380 2.020 2.060 0.840 1.520 0.293 0.872 15.42 59.92

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 2.754 2.956 3.231 3.830 4.370 4.517 4.714 1.139 1.562 0.320 3.797 ms 1311 1.458e+04

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 3.258 3.258 3.258 4.022 4.131 4.131 4.131 0.873 0.873 0.257 3.891 ms 2880 4.133e+04

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 1.209 1.924 2.585 3.908 4.015 1.376 3.070 0.453 1.937 ms 46.44 208

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 -2.574 -0.113 2.265 4.290 5.354 4.838 7.731 1.659 -0.101 ms -4.239 10.98

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 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 2.492 3.275 3.720 4.290 5.725 6.053 6.308 2.005 2.778 0.685 4.529 ms 193.4 1187

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 -13.713 -13.713 -13.408 -12.698 -10.316 3.404 3.404 3.092 17.116 2.919 -12.042 ms -145.6 779.1

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 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 3.089 3.113 3.305 4.031 4.963 5.722 6.226 1.659 2.609 0.516 4.075 ms 349.5 2579

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 1.652 1.777 2.209 2.963 4.039 4.837 5.041 1.830 3.061 0.566 3.002 ms 93.31 472

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 1.550 1.760 2.212 2.591 2.719 2.768 0.831 1.169 0.279 2.212 ms 351.7 2551

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 0.882 2.152 2.619 3.075 4.128 4.708 0.923 3.247 0.421 2.621 ms 158.5 920.9

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 -36.094 -34.262 -31.131 -29.526 -28.715 -27.902 4.736 7.379 1.427 -31.425 ms -1.228e+04 2.845e+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 -1.415 -1.020 0.060 0.983 1.363 1.866 2.003 2.778 0.599 0.036 µs -3.852 9.878

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 0.770 0.834 1.004 2.154 10.113 47.525 47.883 9.109 46.691 5.993 3.607 ms 5.011 36.59

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 1.849 1.849 1.849 2.521 6.893 6.893 6.893 5.044 5.044 1.826 3.283 ms 4.196 11.3

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 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 0.585 0.608 1.094 2.793 6.704 20.916 21.527 5.610 20.308 2.689 3.438 ms 4.931 31.95

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 1.643 2.159 4.325 10.211 19.872 20.339 8.051 18.229 2.999 4.973 ms 4.916 22.53

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 0.708 0.769 1.132 2.448 9.904 19.062 19.276 8.772 18.293 3.375 3.690 ms 3.181 13.9

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 4.497 14.451 22.139 22.139 14.451 22.139 4.644 5.075 ms 1.65 5.465

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 0.733 0.844 0.911 2.913 8.751 12.773 34.759 7.840 11.929 3.348 3.611 ms 5.931 52.2

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 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 0.620 0.638 1.203 3.198 8.471 14.168 23.055 7.267 13.531 2.952 3.828 ms 3.923 20.73

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 0.461 0.566 0.921 2.095 10.015 48.633 48.701 9.094 48.067 5.964 3.753 ms 4.817 35.81

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 0.803 0.819 1.165 2.393 8.502 15.137 15.585 7.337 14.318 2.732 3.514 ms 3.031 11.47

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 0.066 0.099 0.303 0.937 1.263 2.069 0.838 1.196 0.270 0.380 ms 2.828 9.577

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) 0.164 0.289 0.396 0.749 1.417 1.769 2.780 1.021 1.480 0.317 0.804 µs 9.358 31.71

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 -657.822 -655.304 -644.073 -569.733 -551.361 -548.981 -547.653 92.712 106.323 28.242 -577.707 ppb -9943 2.148e+05
Local Clock Time Offset -2.504 -1.414 -1.019 0.059 0.982 1.362 1.865 2.001 2.776 0.598 0.036 µs -3.852 9.884
Local RMS Frequency Jitter 139.000 177.000 204.000 284.000 383.000 435.000 562.000 179.000 258.000 55.139 287.985 10e-12 88.42 436
Local RMS Time Jitter 0.367 0.475 0.549 0.796 1.113 1.271 1.524 0.564 0.796 0.173 0.809 µs 61.27 274.5
Server Jitter 162.159.200.1 0.770 0.834 1.004 2.154 10.113 47.525 47.883 9.109 46.691 5.993 3.607 ms 5.011 36.59
Server Jitter 162.159.200.123 1.849 1.849 1.849 2.521 6.893 6.893 6.893 5.044 5.044 1.826 3.283 ms 4.196 11.3
Server Jitter 169.229.128.134 0.585 0.608 1.094 2.793 6.704 20.916 21.527 5.610 20.308 2.689 3.438 ms 4.931 31.95
Server Jitter 173.11.101.155 0.979 1.643 2.159 4.325 10.211 19.872 20.339 8.051 18.229 2.999 4.973 ms 4.916 22.53
Server Jitter 178.156.145.5 0.708 0.769 1.132 2.448 9.904 19.062 19.276 8.772 18.293 3.375 3.690 ms 3.181 13.9
Server Jitter 192.12.19.20 0.000 0.000 0.000 4.497 14.451 22.139 22.139 14.451 22.139 4.644 5.075 ms 1.65 5.465
Server Jitter 50.116.42.84 0.733 0.844 0.911 2.913 8.751 12.773 34.759 7.840 11.929 3.348 3.611 ms 5.931 52.2
Server Jitter 52.10.183.132 0.620 0.638 1.203 3.198 8.471 14.168 23.055 7.267 13.531 2.952 3.828 ms 3.923 20.73
Server Jitter 64.142.122.36 0.461 0.566 0.921 2.095 10.015 48.633 48.701 9.094 48.067 5.964 3.753 ms 4.817 35.81
Server Jitter 66.220.9.122 0.803 0.819 1.165 2.393 8.502 15.137 15.585 7.337 14.318 2.732 3.514 ms 3.031 11.47
Server Jitter SHM(0) 0.031 0.066 0.099 0.303 0.937 1.263 2.069 0.838 1.196 0.270 0.380 ms 2.828 9.577
Server Jitter SHM(1) 0.164 0.289 0.396 0.749 1.417 1.769 2.780 1.021 1.480 0.317 0.804 µs 9.358 31.71
Server Offset 162.159.200.1 2.754 2.956 3.231 3.830 4.370 4.517 4.714 1.139 1.562 0.320 3.797 ms 1311 1.458e+04
Server Offset 162.159.200.123 3.258 3.258 3.258 4.022 4.131 4.131 4.131 0.873 0.873 0.257 3.891 ms 2880 4.133e+04
Server Offset 169.229.128.134 0.391 0.838 1.209 1.924 2.585 3.908 4.015 1.376 3.070 0.453 1.937 ms 46.44 208
Server Offset 173.11.101.155 -5.397 -3.441 -2.574 -0.113 2.265 4.290 5.354 4.838 7.731 1.659 -0.101 ms -4.239 10.98
Server Offset 178.156.145.5 2.492 3.275 3.720 4.290 5.725 6.053 6.308 2.005 2.778 0.685 4.529 ms 193.4 1187
Server Offset 192.12.19.20 -13.713 -13.713 -13.408 -12.698 -10.316 3.404 3.404 3.092 17.116 2.919 -12.042 ms -145.6 779.1
Server Offset 50.116.42.84 3.089 3.113 3.305 4.031 4.963 5.722 6.226 1.659 2.609 0.516 4.075 ms 349.5 2579
Server Offset 52.10.183.132 1.652 1.777 2.209 2.963 4.039 4.837 5.041 1.830 3.061 0.566 3.002 ms 93.31 472
Server Offset 64.142.122.36 0.288 1.550 1.760 2.212 2.591 2.719 2.768 0.831 1.169 0.279 2.212 ms 351.7 2551
Server Offset 66.220.9.122 0.250 0.882 2.152 2.619 3.075 4.128 4.708 0.923 3.247 0.421 2.621 ms 158.5 920.9
Server Offset SHM(0) -36.581 -36.094 -34.262 -31.131 -29.526 -28.715 -27.902 4.736 7.379 1.427 -31.425 ms -1.228e+04 2.845e+05
Server Offset SHM(1) -2.505 -1.415 -1.020 0.060 0.983 1.363 1.866 2.003 2.778 0.599 0.036 µs -3.852 9.878
TDOP 0.490 0.500 0.540 0.800 1.380 2.020 2.060 0.840 1.520 0.293 0.872 15.42 59.92
Temp ZONE0 42.932 42.932 43.470 44.008 44.546 45.084 45.084 1.076 2.152 0.353 44.017 °C
nSats 7.000 7.000 8.000 10.000 12.000 13.000 13.000 4.000 6.000 1.152 9.839 nSat 452 3589
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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