diff options
Diffstat (limited to 'resources/libraries/python/MLRsearch/MultipleLossRatioSearch.py')
-rw-r--r-- | resources/libraries/python/MLRsearch/MultipleLossRatioSearch.py | 67 |
1 files changed, 56 insertions, 11 deletions
diff --git a/resources/libraries/python/MLRsearch/MultipleLossRatioSearch.py b/resources/libraries/python/MLRsearch/MultipleLossRatioSearch.py index 0eb1d7da4c..be7ffba3a3 100644 --- a/resources/libraries/python/MLRsearch/MultipleLossRatioSearch.py +++ b/resources/libraries/python/MLRsearch/MultipleLossRatioSearch.py @@ -97,7 +97,7 @@ class MultipleLossRatioSearch(AbstractSearchAlgorithm): for the current search [pps]. :param maximum_transmit_rate: Maximum target transmit rate for the current search [pps]. - :type result: NdrPdrResult + :type result: NdrPdrResult.NdrPdrResult :type phases: int :type duration: float :type width_goal: float @@ -115,7 +115,7 @@ class MultipleLossRatioSearch(AbstractSearchAlgorithm): def __init__(self, measurer, final_relative_width=0.005, final_trial_duration=30.0, initial_trial_duration=1.0, - number_of_intermediate_phases=2, timeout=600.0): + number_of_intermediate_phases=2, timeout=600.0, doublings=1): """Store the measurer object and additional arguments. :param measurer: Rate provider to use by this search object. @@ -128,12 +128,16 @@ class MultipleLossRatioSearch(AbstractSearchAlgorithm): to perform before the final phase [1]. :param timeout: The search will fail itself when not finished before this overall time [s]. - :type measurer: AbstractMeasurer + :param doublings: How many doublings to do in external search step. + Default 1 is suitable for fairly stable tests, + less stable tests might get better overal duration with 2 or more. + :type measurer: AbstractMeasurer.AbstractMeasurer :type final_relative_width: float :type final_trial_duration: float :type initial_trial_duration: int :type number_of_intermediate_phases: int :type timeout: float + :type doublings: int """ super(MultipleLossRatioSearch, self).__init__(measurer) self.final_trial_duration = float(final_trial_duration) @@ -141,6 +145,7 @@ class MultipleLossRatioSearch(AbstractSearchAlgorithm): self.number_of_intermediate_phases = int(number_of_intermediate_phases) self.initial_trial_duration = float(initial_trial_duration) self.timeout = float(timeout) + self.doublings = int(doublings) @staticmethod @@ -172,6 +177,24 @@ class MultipleLossRatioSearch(AbstractSearchAlgorithm): relative_width)) @staticmethod + def expand_down(relative_width, doublings, current_bound): + """Return rate of expanded logarithmic width below. + + :param relative_width: The base relative width to double. + :param doublings: How many doublings to do for expansion. + :param current_bound: The current target transmit rate to move [pps]. + :type relative_width: float + :type doublings: int + :type current_bound: float + :returns: Transmit rate smaller by logarithmically double width [pps]. + :rtype: float + """ + for _ in range(doublings): + relative_width = MultipleLossRatioSearch.double_relative_width( + relative_width) + return current_bound * (1.0 - relative_width) + + @staticmethod def double_step_up(relative_width, current_bound): """Return rate of double logarithmic width above. @@ -187,6 +210,24 @@ class MultipleLossRatioSearch(AbstractSearchAlgorithm): relative_width)) @staticmethod + def expand_up(relative_width, doublings, current_bound): + """Return rate of expanded logarithmic width above. + + :param relative_width: The base relative width to double. + :param doublings: How many doublings to do for expansion. + :param current_bound: The current target transmit rate to move [pps]. + :type relative_width: float + :type doublings: int + :type current_bound: float + :returns: Transmit rate smaller by logarithmically double width [pps]. + :rtype: float + """ + for _ in range(doublings): + relative_width = MultipleLossRatioSearch.double_relative_width( + relative_width) + return current_bound / (1.0 - relative_width) + + @staticmethod def half_relative_width(relative_width): """Return relative width corresponding to half logarithmic width. @@ -224,7 +265,7 @@ class MultipleLossRatioSearch(AbstractSearchAlgorithm): :type packet_loss_ratio: float :returns: Structure containing narrowed down intervals and their measurements. - :rtype: NdrPdrResult + :rtype: NdrPdrResult.NdrPdrResult :raises RuntimeError: If total duration is larger than timeout. """ minimum_transmit_rate = float(minimum_transmit_rate) @@ -296,11 +337,11 @@ class MultipleLossRatioSearch(AbstractSearchAlgorithm): :param old_interval: The current interval before the measurement. :param measurement: The new meaqsurement to take into account. :param packet_loss_ratio: Fraction for PDR (or zero for NDR). - :type old_interval: ReceiveRateInterval - :type measurement: ReceiveRateMeasurement + :type old_interval: ReceiveRateInterval.ReceiveRateInterval + :type measurement: ReceiveRateMeasurement.ReceiveRateMeasurement :type packet_loss_ratio: float :returns: The updated interval. - :rtype: ReceiveRateInterval + :rtype: ReceiveRateInterval.ReceiveRateInterval """ old_lo, old_hi = old_interval.measured_low, old_interval.measured_high # Priority zero: direct replace if the target Tr is the same. @@ -399,7 +440,8 @@ class MultipleLossRatioSearch(AbstractSearchAlgorithm): if ndr_lo.target_tr > state.minimum_transmit_rate: new_tr = max( state.minimum_transmit_rate, - self.double_step_down(ndr_rel_width, ndr_lo.target_tr)) + self.expand_down( + ndr_rel_width, self.doublings, ndr_lo.target_tr)) logging.info("ndr lo external %s", new_tr) state = self._measure_and_update_state(state, new_tr) continue @@ -412,7 +454,8 @@ class MultipleLossRatioSearch(AbstractSearchAlgorithm): if pdr_lo.target_tr > state.minimum_transmit_rate: new_tr = max( state.minimum_transmit_rate, - self.double_step_down(pdr_rel_width, pdr_lo.target_tr)) + self.expand_down( + pdr_rel_width, self.doublings, pdr_lo.target_tr)) logging.info("pdr lo external %s", new_tr) state = self._measure_and_update_state(state, new_tr) continue @@ -425,7 +468,8 @@ class MultipleLossRatioSearch(AbstractSearchAlgorithm): if ndr_hi.target_tr < state.maximum_transmit_rate: new_tr = min( state.maximum_transmit_rate, - self.double_step_up(ndr_rel_width, ndr_hi.target_tr)) + self.expand_up( + ndr_rel_width, self.doublings, ndr_hi.target_tr)) logging.info("ndr hi external %s", new_tr) state = self._measure_and_update_state(state, new_tr) continue @@ -438,7 +482,8 @@ class MultipleLossRatioSearch(AbstractSearchAlgorithm): if pdr_hi.target_tr < state.maximum_transmit_rate: new_tr = min( state.maximum_transmit_rate, - self.double_step_up(pdr_rel_width, pdr_hi.target_tr)) + self.expand_up( + pdr_rel_width, self.doublings, pdr_hi.target_tr)) logging.info("pdr hi external %s", new_tr) state = self._measure_and_update_state(state, new_tr) continue |