Local Clock Time/Frequency Offsets

	Percentiles......								Ranges......						Skew-	Kurt-
Name	Min	1%	5%	50%	95%	99%	Max		90%	98%	StdDev		Mean	Units	ness	osis
Local Clock Time Offset	-1.587	-1.053	-0.718	-0.012	0.757	1.118	1.427		1.475	2.170	0.450		0.001	ms	-3.874	9.671
Local Clock Frequency Offset	-1.774	-1.724	-1.668	-1.541	-1.414	-1.378	-1.362		0.254	0.346	0.077		-1.541	ppm	-9178	1.93e+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

	Percentiles......								Ranges......						Skew-	Kurt-
Name	Min	1%	5%	50%	95%	99%	Max		90%	98%	StdDev		Mean	Units	ness	osis
Local RMS Time Jitter	240.817	297.456	365.311	527.159	793.596	922.744	1,032.861		428.285	625.288	133.658		545.808	µs	39.28	159.7

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

	Percentiles......								Ranges......						Skew-	Kurt-
Name	Min	1%	5%	50%	95%	99%	Max		90%	98%	StdDev		Mean	Units	ness	osis
Local RMS Frequency Jitter	8.061	12.698	16.182	27.330	45.910	59.635	86.578		29.728	46.937	9.633		28.823	ppb	15.11	55.69

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

	Percentiles......								Ranges......						Skew-	Kurt-
Name	Min	1%	5%	50%	95%	99%	Max		90%	98%	StdDev		Mean	Units	ness	osis
Local Clock Offset	-1.587	-1.053	-0.718	-0.012	0.757	1.118	1.427		1.475	2.170	0.450		0.001	ms	-3.874	9.671

The clock offsets of the local clock as a histogram.

The Local Clock Offset is field 3 from the loopstats log 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 = (∑x_i) / N". Where x_i 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 = √[ ∑(x_i-mu)^2 / N ]". Where x_i 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.