diff options
Diffstat (limited to 'resources/libraries/python/PLRsearch/PLRsearch.py')
| -rw-r--r-- | resources/libraries/python/PLRsearch/PLRsearch.py | 14 |
1 files changed, 11 insertions, 3 deletions
diff --git a/resources/libraries/python/PLRsearch/PLRsearch.py b/resources/libraries/python/PLRsearch/PLRsearch.py index cdfd308149..ce65fd2ec8 100644 --- a/resources/libraries/python/PLRsearch/PLRsearch.py +++ b/resources/libraries/python/PLRsearch/PLRsearch.py @@ -426,13 +426,21 @@ class PLRsearch: Integrator assumes uniform distribution, but over different parameters. Weight and likelihood are used interchangeably here anyway. - Each trial has an offered load, a duration and a loss count. - Fitting function is used to compute the average loss per second. - Poisson distribution (with average loss per trial) is used + Each trial has an intended load, a sent count and a loss count + (probably counting unsent packets as loss, as they signal + the load is too high for the traffic generator). + The fitting function is used to compute the average loss rate. + Geometric distribution (with average loss per trial) is used to get likelihood of one trial result, the overal likelihood is a product of all trial likelihoods. As likelihoods can be extremely small, logarithms are tracked instead. + The current implementation does not use direct loss rate + from the fitting function, as the input and output units may not match + (e.g. intended load in TCP transactions, loss in packets). + Instead, the expected average loss is scaled according to the number + of packets actually sent. + TODO: Copy ReceiveRateMeasurement from MLRsearch. :param trace: A multiprocessing-friendly logging function (closure). |