NTPsec

ntp

Report generated: Sat May 3 23:45:19 2025 UTC
Start Time: Sat Apr 26 23:45:19 2025 UTC
End Time: Sat May 3 23:45:19 2025 UTC
Report Period: 7.0 days

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Local Clock Time/Frequency Offsets

local offset plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Time Offset -1.320 -1.040 -0.652 0.017 0.557 0.959 1.526 1.209 1.999 0.383 -0.008 ms -4.175 12.22
Local Clock Frequency Offset 12.428 12.440 12.476 12.547 12.630 12.700 12.707 0.154 0.260 0.049 12.550 ppm 1.621e+07 4.103e+09

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 0.060 0.065 0.107 0.331 0.785 1.090 1.115 0.678 1.025 0.190 0.360 ms 5.047 18.04

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 5.158 5.813 7.491 26.530 46.263 53.453 60.220 38.772 47.640 11.233 26.277 ppb 6.597 17.61

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 -1.320 -1.040 -0.652 0.017 0.557 0.959 1.526 1.209 1.999 0.383 -0.008 ms -4.175 12.22

The clock offsets of the local clock as a histogram.

The Local Clock Offset is field 3 from the loopstats log file.



Server Offsets

peer offsets plot

The offset of all refclocks and servers. This can be useful to see if offset changes are happening in a single clock or all clocks together.

Clock Offset is field 5 in the peerstats log file.



Server Offset 178.217.98.201

peer offset 178.217.98.201 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 178.217.98.201 -2.247 -1.019 -0.524 0.107 0.954 2.173 4.579 1.478 3.191 0.543 0.140 ms -0.756 14.93

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 185.209.85.222

peer offset 185.209.85.222 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 185.209.85.222 -4.513 -0.282 0.254 1.632 2.929 4.320 5.728 2.675 4.602 0.924 1.565 ms 2.262 12.15

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 51.250.68.198

peer offset 51.250.68.198 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 51.250.68.198 -2.431 -1.711 -0.801 -0.235 0.472 2.384 4.240 1.273 4.095 0.585 -0.152 ms -3.422 17.94

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 89.109.251.24

peer offset 89.109.251.24 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 89.109.251.24 -1.389 -0.906 -0.533 0.080 0.783 1.670 2.209 1.316 2.576 0.432 0.116 ms -2.012 7.449

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 89.110.95.134

peer offset 89.110.95.134 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 89.110.95.134 -8.432 -7.151 -6.617 0.099 0.984 1.718 3.708 7.601 8.870 2.323 -1.098 ms -8.908 29.06

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 91.189.91.157

peer offset 91.189.91.157 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 91.189.91.157 -48.654 -18.005 -8.800 -4.509 -3.280 -1.069 -0.538 5.520 16.937 3.350 -5.061 ms -31.84 264.1

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 92.53.107.225

peer offset 92.53.107.225 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 92.53.107.225 -2.432 -2.309 -1.924 -1.306 -0.572 -0.307 -0.031 1.353 2.003 0.428 -1.268 ms -74.17 343

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 178.217.98.201

peer jitter 178.217.98.201 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 178.217.98.201 0.095 0.113 0.178 0.537 1.942 2.815 4.892 1.764 2.702 0.590 0.695 ms 3.044 14.18

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 185.209.85.222

peer jitter 185.209.85.222 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 185.209.85.222 0.069 0.098 0.147 0.560 2.529 3.581 4.607 2.383 3.484 0.797 0.878 ms 1.911 6.263

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 51.250.68.198

peer jitter 51.250.68.198 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 51.250.68.198 0.033 0.045 0.068 0.307 2.346 3.388 4.531 2.278 3.343 0.719 0.584 ms 1.718 6.818

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 89.109.251.24

peer jitter 89.109.251.24 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 89.109.251.24 0.060 0.069 0.115 0.314 2.279 9.836 9.942 2.164 9.766 1.215 0.712 ms 4.412 33.68

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 89.110.95.134

peer jitter 89.110.95.134 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 89.110.95.134 0.057 0.087 0.147 1.778 6.058 6.967 7.216 5.912 6.880 1.887 2.199 ms 1.394 3.604

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 91.189.91.157

peer jitter 91.189.91.157 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 91.189.91.157 0.095 0.137 0.167 0.869 13.394 18.436 40.041 13.227 18.299 4.671 2.967 ms 2.009 14.13

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 92.53.107.225

peer jitter 92.53.107.225 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 92.53.107.225 0.025 0.036 0.070 0.278 1.160 6.827 6.975 1.089 6.791 0.834 0.469 ms 4.761 36.33

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 12.428 12.440 12.476 12.547 12.630 12.700 12.707 0.154 0.260 0.049 12.550 ppm 1.621e+07 4.103e+09
Local Clock Time Offset -1.320 -1.040 -0.652 0.017 0.557 0.959 1.526 1.209 1.999 0.383 -0.008 ms -4.175 12.22
Local RMS Frequency Jitter 5.158 5.813 7.491 26.530 46.263 53.453 60.220 38.772 47.640 11.233 26.277 ppb 6.597 17.61
Local RMS Time Jitter 0.060 0.065 0.107 0.331 0.785 1.090 1.115 0.678 1.025 0.190 0.360 ms 5.047 18.04
Server Jitter 178.217.98.201 0.095 0.113 0.178 0.537 1.942 2.815 4.892 1.764 2.702 0.590 0.695 ms 3.044 14.18
Server Jitter 185.209.85.222 0.069 0.098 0.147 0.560 2.529 3.581 4.607 2.383 3.484 0.797 0.878 ms 1.911 6.263
Server Jitter 51.250.68.198 0.033 0.045 0.068 0.307 2.346 3.388 4.531 2.278 3.343 0.719 0.584 ms 1.718 6.818
Server Jitter 89.109.251.24 0.060 0.069 0.115 0.314 2.279 9.836 9.942 2.164 9.766 1.215 0.712 ms 4.412 33.68
Server Jitter 89.110.95.134 0.057 0.087 0.147 1.778 6.058 6.967 7.216 5.912 6.880 1.887 2.199 ms 1.394 3.604
Server Jitter 91.189.91.157 0.095 0.137 0.167 0.869 13.394 18.436 40.041 13.227 18.299 4.671 2.967 ms 2.009 14.13
Server Jitter 92.53.107.225 0.025 0.036 0.070 0.278 1.160 6.827 6.975 1.089 6.791 0.834 0.469 ms 4.761 36.33
Server Offset 178.217.98.201 -2.247 -1.019 -0.524 0.107 0.954 2.173 4.579 1.478 3.191 0.543 0.140 ms -0.756 14.93
Server Offset 185.209.85.222 -4.513 -0.282 0.254 1.632 2.929 4.320 5.728 2.675 4.602 0.924 1.565 ms 2.262 12.15
Server Offset 51.250.68.198 -2.431 -1.711 -0.801 -0.235 0.472 2.384 4.240 1.273 4.095 0.585 -0.152 ms -3.422 17.94
Server Offset 89.109.251.24 -1.389 -0.906 -0.533 0.080 0.783 1.670 2.209 1.316 2.576 0.432 0.116 ms -2.012 7.449
Server Offset 89.110.95.134 -8.432 -7.151 -6.617 0.099 0.984 1.718 3.708 7.601 8.870 2.323 -1.098 ms -8.908 29.06
Server Offset 91.189.91.157 -48.654 -18.005 -8.800 -4.509 -3.280 -1.069 -0.538 5.520 16.937 3.350 -5.061 ms -31.84 264.1
Server Offset 92.53.107.225 -2.432 -2.309 -1.924 -1.306 -0.572 -0.307 -0.031 1.353 2.003 0.428 -1.268 ms -74.17 343
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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