of being standardized in the IETF Benchmarking Methodology Working Group (BMWG).
Terms
------
+`````
The rest of this page assumes the reader is familiar with the following terms
defined in the IETF draft:
Fitting Functions
`````````````````
-Current implementation uses two fitting functions.
+Current implementation uses two fitting functions, called "stretch" and "erf".
In general, their estimates for critical rate differ,
which adds a simple source of systematic error,
on top of randomness error reported by integrator.
(meaning the rate of increase is also increasing).
Both fitting functions have several mathematically equivalent formulas,
-each can lead to an overflow or underflow in different sub-terms.
+each can lead to an arithmetic overflow or underflow in different sub-terms.
Overflows can be eliminated by using different exact formulas
for different argument ranges.
Underflows can be avoided by using approximate formulas
The numeric integrator expects all the parameters to be distributed
(independently and) uniformly on an interval (-1, 1).
-As both "mrr" and "spread" parameters are positive and not not dimensionless,
+As both "mrr" and "spread" parameters are positive and not dimensionless,
a transformation is needed. Dimentionality is inherited from max_rate value.
The "mrr" parameter follows a `Lomax distribution`_
and magnitude of loss ratio if nonzero.
The offered load selection strategy used implies zero loss measurements
-can be gleamed from the graph by looking at offered load points.
+can be gleaned from the graph by looking at offered load points.
When the points move up farther from lower estimate, it means
the previous measurement had zero loss. After non-zero loss,
the offered load starts again right between (the previous values of)
reveals the quality is good (considering the measurement results).
L2 patch
---------
+________
Both fitting functions give similar estimates, the graph shows
"stochasticity" of measurements (estimates increase and decrease
:align: center
Vhost
------
+_____
This test case shows what looks like a quite broad estimation interval,
compared to other test cases with similarly looking zero loss frequencies.
:align: center
Summary
--------
+_______
The two graphs show the behavior of PLRsearch algorithm applied to soaking test
when some of PLRsearch assumptions do not hold: