duration, unit_rate, self.frame_size, self.traffic_type,
self.warmup_time, latency=True)
transmit_count = int(self.get_sent())
- drop_count = int(self.get_loss())
+ loss_count = int(self.get_loss())
measurement = ReceiveRateMeasurement(
- duration, transmit_rate, transmit_count, drop_count)
+ duration, transmit_rate, transmit_count, loss_count)
measurement.latency = self.get_latency_int()
return measurement
@staticmethod
def perform_optimized_ndrpdr_search(
- frame_size, traffic_type, fail_rate, line_rate,
- allowed_drop_fraction=0.005, final_relative_width=0.005,
- final_trial_duration=30.0, initial_trial_duration=1.0,
- intermediate_phases=2, timeout=600.0):
+ frame_size, traffic_type, minimum_transmit_rate,
+ maximum_transmit_rate, packet_loss_ratio=0.005,
+ final_relative_width=0.005, final_trial_duration=30.0,
+ initial_trial_duration=1.0, intermediate_phases=2, timeout=600.0):
"""Setup initialized TG, perform optimized search, return intervals.
:param frame_size: Frame size identifier or value [B].
:param traffic_type: Module name as a traffic type identifier.
See resources/traffic_profiles/trex for implemented modules.
- :param fail_rate: Minimal target transmit rate [pps].
- :param line_rate: Maximal target transmit rate [pps].
- :param allowed_drop_fraction: Fraction of dropped packets for PDR [1].
+ :param minimum_transmit_rate: Minimal bidirectional
+ target transmit rate [pps].
+ :param maximum_transmit_rate: Maximal bidirectional
+ target transmit rate [pps].
+ :param packet_loss_ratio: Fraction of packets lost, for PDR [1].
:param final_relative_width: Final lower bound transmit rate
cannot be more distant that this multiple of upper bound [1].
:param final_trial_duration: Trial duration for the final phase [s].
before this overall time [s].
:type frame_size: str or int
:type traffic_type: str
- :type fail_rate: float
- :type line_rate: float
- :type allowed_drop_fraction: float
+ :type minimum_transmit_rate: float
+ :type maximum_transmit_rate: float
+ :type packet_loss_ratio: float
:type final_relative_width: float
:type final_trial_duration: float
:type initial_trial_duration: float
intermediate_phases=intermediate_phases,
initial_trial_duration=initial_trial_duration, timeout=timeout)
result = algorithm.narrow_down_ndr_and_pdr(
- fail_rate, line_rate, allowed_drop_fraction)
+ minimum_transmit_rate, maximum_transmit_rate, packet_loss_ratio)
return result
class ProgressState(object):
"""Structure containing data to be passed around in recursion."""
- def __init__(self, result, phases, duration, width_goal,
- allowed_drop_fraction, fail_rate, line_rate):
+ def __init__(
+ self, result, phases, duration, width_goal, packet_loss_ratio,
+ minimum_transmit_rate, maximum_transmit_rate):
"""Convert and store the argument values.
:param result: Current measured NDR and PDR intervals.
before the current one.
:param duration: Trial duration to use in the current phase [s].
:param width_goal: The goal relative width for the curreent phase.
- :param allowed_drop_fraction: PDR fraction for the current search.
- :param fail_rate: Minimum target transmit rate
+ :param packet_loss_ratio: PDR fraction for the current search.
+ :param minimum_transmit_rate: Minimum target transmit rate
for the current search [pps].
- :param line_rate: Maximum target transmit rate
+ :param maximum_transmit_rate: Maximum target transmit rate
for the current search [pps].
:type result: NdrPdrResult
:type phases: int
:type duration: float
:type width_goal: float
- :type allowed_drop_fraction: float
- :type fail_rate: float
- :type line_rate: float
+ :type packet_loss_ratio: float
+ :type minimum_transmit_rate: float
+ :type maximum_transmit_rate: float
"""
self.result = result
self.phases = int(phases)
self.duration = float(duration)
self.width_goal = float(width_goal)
- self.allowed_drop_fraction = float(allowed_drop_fraction)
- self.fail_rate = float(fail_rate)
- self.line_rate = float(line_rate)
+ self.packet_loss_ratio = float(packet_loss_ratio)
+ self.minimum_transmit_rate = float(minimum_transmit_rate)
+ self.maximum_transmit_rate = float(maximum_transmit_rate)
def __init__(self, rate_provider, final_relative_width=0.005,
final_trial_duration=30.0, initial_trial_duration=1.0,
- intermediate_phases=2, timeout=600.0):
+ number_of_intermediate_phases=2, timeout=600.0):
"""Store rate provider and additional arguments.
:param rate_provider: Rate provider to use by this search object.
:param final_trial_duration: Trial duration for the final phase [s].
:param initial_trial_duration: Trial duration for the initial phase
and also for the first intermediate phase [s].
- :param intermediate_phases: Number of intermediate phases to perform
- before the final phase [1].
+ :param number_of_intermediate_phases: Number of intermediate phases
+ to perform before the final phase [1].
:param timeout: The search will fail itself when not finished
before this overall time [s].
:type rate_provider: AbstractRateProvider
:type final_relative_width: float
:type final_trial_duration: float
:type initial_trial_duration: int
- :type intermediate_phases: int
+ :type number_of_intermediate_phases: int
:type timeout: float
"""
super(OptimizedSearchAlgorithm, self).__init__(rate_provider)
self.final_trial_duration = float(final_trial_duration)
self.final_relative_width = float(final_relative_width)
- self.intermediate_phases = int(intermediate_phases)
+ self.number_of_intermediate_phases = int(number_of_intermediate_phases)
self.initial_trial_duration = float(initial_trial_duration)
self.timeout = float(timeout)
def narrow_down_ndr_and_pdr(
- self, fail_rate, line_rate, allowed_drop_fraction):
+ self, minimum_transmit_rate, maximum_transmit_rate,
+ packet_loss_ratio):
"""Perform initial phase, create state object, proceed with next phases.
- :param fail_rate: Minimal target transmit rate [pps].
- :param line_rate: Maximal target transmit rate [pps].
- :param allowed_drop_fraction: Fraction of dropped packets for PDR [1].
- :type fail_rate: float
- :type line_rate: float
- :type allowed_drop_fraction: float
+ :param minimum_transmit_rate: Minimal target transmit rate [pps].
+ :param maximum_transmit_rate: Maximal target transmit rate [pps].
+ :param packet_loss_ratio: Fraction of packets lost, for PDR [1].
+ :type minimum_transmit_rate: float
+ :type maximum_transmit_rate: float
+ :type packet_loss_ratio: float
:returns: Structure containing narrowed down intervals
and their measurements.
:rtype: NdrPdrResult
:raises RuntimeError: If total duration is larger than timeout.
"""
- fail_rate = float(fail_rate)
- line_rate = float(line_rate)
- allowed_drop_fraction = float(allowed_drop_fraction)
+ minimum_transmit_rate = float(minimum_transmit_rate)
+ maximum_transmit_rate = float(maximum_transmit_rate)
+ packet_loss_ratio = float(packet_loss_ratio)
line_measurement = self.rate_provider.measure(
- self.initial_trial_duration, line_rate)
+ self.initial_trial_duration, maximum_transmit_rate)
# 0.999 is to avoid rounding errors which make
# the subsequent logic think the width is too broad.
max_lo = max(
- fail_rate, line_rate * (1.0 - 0.999 * self.final_relative_width))
- mrr = min(max_lo, max(fail_rate, line_measurement.receive_rate))
+ minimum_transmit_rate,
+ maximum_transmit_rate * (1.0 - 0.999 * self.final_relative_width))
+ mrr = min(
+ max_lo, max(minimum_transmit_rate, line_measurement.receive_rate))
mrr_measurement = self.rate_provider.measure(
self.initial_trial_duration, mrr)
# Attempt to get narrower width.
max2_lo = max(
- fail_rate, mrr * (1.0 - 0.999 * self.final_relative_width))
+ minimum_transmit_rate,
+ mrr * (1.0 - 0.999 * self.final_relative_width))
mrr2 = min(max2_lo, mrr_measurement.receive_rate)
- if mrr2 > fail_rate:
+ if mrr2 > minimum_transmit_rate:
line_measurement = mrr_measurement
mrr_measurement = self.rate_provider.measure(
self.initial_trial_duration, mrr2)
mrr_measurement, line_measurement)
starting_result = NdrPdrResult(starting_interval, starting_interval)
state = self.ProgressState(
- starting_result, self.intermediate_phases,
+ starting_result, self.number_of_intermediate_phases,
self.final_trial_duration, self.final_relative_width,
- allowed_drop_fraction, fail_rate, line_rate)
+ packet_loss_ratio, minimum_transmit_rate, maximum_transmit_rate)
state = self.ndrpdr(state)
return state.result
ndr_interval = self._new_interval(
state.result.ndr_interval, measurement, 0.0)
pdr_interval = self._new_interval(
- state.result.pdr_interval, measurement, state.allowed_drop_fraction)
+ state.result.pdr_interval, measurement, state.packet_loss_ratio)
state.result = NdrPdrResult(ndr_interval, pdr_interval)
return state
@staticmethod
- def _new_interval(old_interval, measurement, allowed_drop_fraction):
+ def _new_interval(old_interval, measurement, packet_loss_ratio):
"""Return new interval with bounds updated according to the measurement.
:param old_interval: The current interval before the measurement.
:param measurement: The new meaqsurement to take into account.
- :param allowed_drop_fraction: Fraction for PDR (or zero for NDR).
+ :param packet_loss_ratio: Fraction for PDR (or zero for NDR).
:type old_interval: ReceiveRateInterval
:type measurement: ReceiveRateMeasurement
- :type allowed_drop_fraction: float
+ :type packet_loss_ratio: float
:returns: The updated interval.
:rtype: ReceiveRateInterval
"""
else:
return ReceiveRateInterval(old_lo, measurement)
# Priority one: invalid lower bound allows only one type of update.
- if old_lo.drop_fraction > allowed_drop_fraction:
+ if old_lo.loss_fraction > packet_loss_ratio:
# We can only expand down, old bound becomes valid upper one.
if measurement.target_tr < old_lo.target_tr:
return ReceiveRateInterval(measurement, old_lo)
# Next priorities depend on target Tr.
if measurement.target_tr < old_lo.target_tr:
# Lower external measurement, relevant only
- # if the new measurement has high drop rate.
- if measurement.drop_fraction > allowed_drop_fraction:
+ # if the new measurement has high loss rate.
+ if measurement.loss_fraction > packet_loss_ratio:
# Returning the broader interval as old_lo
# would be invalid upper bound.
return ReceiveRateInterval(measurement, old_hi)
elif measurement.target_tr > old_hi.target_tr:
# Upper external measurement, only relevant for invalid upper bound.
- if old_hi.drop_fraction <= allowed_drop_fraction:
+ if old_hi.loss_fraction <= packet_loss_ratio:
# Old upper bound becomes valid new lower bound.
return ReceiveRateInterval(old_hi, measurement)
else:
# Internal measurement, replaced boundary
- # depends on measured drop fraction.
- if measurement.drop_fraction > allowed_drop_fraction:
+ # depends on measured loss fraction.
+ if measurement.loss_fraction > packet_loss_ratio:
# We have found a narrow valid interval,
# regardless of whether old upper bound was valid.
return ReceiveRateInterval(old_lo, measurement)
# In ideal world, we would not want to shrink interval
# if upper bound is not valid.
# In the real world, we want to shrink it for
- # "invalid upper bound at line rate" case.
+ # "invalid upper bound at maximal rate" case.
return ReceiveRateInterval(measurement, old_hi)
# Fallback, the interval is unchanged by the measurement.
return old_interval
state.width_goal, state.result.ndr_interval.rel_tr_width)
pdr_rel_width = max(
state.width_goal, state.result.pdr_interval.rel_tr_width)
- # If we are hitting line or fail rate, we cannot shift,
+ # If we are hitting maximal or minimal rate, we cannot shift,
# but we can re-measure.
- if ndr_lo.drop_fraction > 0.0:
- if ndr_lo.target_tr > state.fail_rate:
- new_tr = max(state.fail_rate, self.double_step_down(
- ndr_rel_width, ndr_lo.target_tr))
+ if ndr_lo.loss_fraction > 0.0:
+ 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))
logging.info("ndr lo external %s", new_tr)
state = self._measure_and_update_state(state, new_tr)
continue
elif ndr_lo.duration < state.duration:
- logging.info("ndr lo fail re-measure")
+ logging.info("ndr lo minimal re-measure")
state = self._measure_and_update_state(
- state, state.fail_rate)
+ state, state.minimum_transmit_rate)
continue
- if pdr_lo.drop_fraction > state.allowed_drop_fraction:
- if pdr_lo.target_tr > state.fail_rate:
- new_tr = max(state.fail_rate, self.double_step_down(
- pdr_rel_width, pdr_lo.target_tr))
+ if pdr_lo.loss_fraction > state.packet_loss_ratio:
+ 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))
logging.info("pdr lo external %s", new_tr)
state = self._measure_and_update_state(state, new_tr)
continue
elif pdr_lo.duration < state.duration:
- logging.info("pdr lo fail re-measure")
+ logging.info("pdr lo minimal re-measure")
state = self._measure_and_update_state(
- state, state.fail_rate)
+ state, state.minimum_transmit_rate)
continue
- if ndr_hi.drop_fraction <= 0.0:
- if ndr_hi.target_tr < state.line_rate:
- new_tr = min(state.line_rate, self.double_step_up(
- ndr_rel_width, ndr_hi.target_tr))
+ if ndr_hi.loss_fraction <= 0.0:
+ 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))
logging.info("ndr hi external %s", new_tr)
state = self._measure_and_update_state(state, new_tr)
continue
elif ndr_hi.duration < state.duration:
- logging.info("ndr hi line re-measure")
+ logging.info("ndr hi maximal re-measure")
state = self._measure_and_update_state(
- state, state.line_rate)
+ state, state.maximum_transmit_rate)
continue
- if pdr_hi.drop_fraction <= state.allowed_drop_fraction:
- if pdr_hi.target_tr < state.line_rate:
- new_tr = min(state.line_rate, self.double_step_up(
- pdr_rel_width, pdr_hi.target_tr))
+ if pdr_hi.loss_fraction <= state.packet_loss_ratio:
+ 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))
logging.info("pdr hi external %s", new_tr)
state = self._measure_and_update_state(state, new_tr)
continue
elif pdr_hi.duration < state.duration:
- logging.info("ndr hi line re-measure")
+ logging.info("ndr hi maximal re-measure")
state = self._measure_and_update_state(
- state, state.line_rate)
+ state, state.maximum_transmit_rate)
continue
- # If we are hitting line_rate, it is still worth narrowing width,
+ # If we are hitting maximum_transmit_rate,
+ # it is still worth narrowing width,
# hoping large enough Df will happen.
- # But if we are hitting fail rate (at current duration),
+ # But if we are hitting the minimal rate (at current duration),
# no additional measurement will help with that,
# so we can stop narrowing in this phase.
- if (ndr_lo.target_tr <= state.fail_rate
- and ndr_lo.drop_fraction > 0.0):
+ if (ndr_lo.target_tr <= state.minimum_transmit_rate
+ and ndr_lo.loss_fraction > 0.0):
ndr_rel_width = 0.0
- if (pdr_lo.target_tr <= state.fail_rate
- and pdr_lo.drop_fraction > state.allowed_drop_fraction):
+ if (pdr_lo.target_tr <= state.minimum_transmit_rate
+ and pdr_lo.loss_fraction > state.packet_loss_ratio):
pdr_rel_width = 0.0
if max(ndr_rel_width, pdr_rel_width) > state.width_goal:
# We have to narrow some width.
logging.info("re-measuring PDR upper bound")
self._measure_and_update_state(state, pdr_hi.target_tr)
continue
- # Widths are narrow (or failing), bound measurements
+ # Widths are narrow (or lower bound minimal), bound measurements
# are long enough, we can return.
logging.info("phase done")
break
Code Review / csit.git / commitdiff