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# Copyright (c) 2016-2017 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
""" RFC2544 Throughput implemenation """
from __future__ import absolute_import
from __future__ import division
import logging
from trex_stl_lib.trex_stl_client import STLStream
from trex_stl_lib.trex_stl_streams import STLFlowLatencyStats
from trex_stl_lib.trex_stl_streams import STLTXCont
from yardstick.network_services.traffic_profile.traffic_profile \
import TrexProfile
LOGGING = logging.getLogger(__name__)
class RFC2544Profile(TrexProfile):
""" This class handles rfc2544 implemenation. """
def __init__(self, traffic_generator):
super(RFC2544Profile, self).__init__(traffic_generator)
self.generator = None
self.max_rate = None
self.min_rate = None
self.ports = None
self.rate = 100
self.drop_percent_at_max_tx = None
self.throughput_max = None
def register_generator(self, generator):
self.generator = generator
def execute_traffic(self, traffic_generator=None):
""" Generate the stream and run traffic on the given ports """
if traffic_generator is not None and self.generator is None:
self.generator = traffic_generator
if self.ports is not None:
return
self.ports = []
for vld_id, intfs in sorted(self.generator.networks.items()):
profile_data = self.params.get(vld_id)
# no profile for this port
if not profile_data:
continue
# correlated traffic doesn't use public traffic?
if vld_id.startswith(self.DOWNLINK) and \
self.generator.rfc2544_helper.correlated_traffic:
continue
for intf in intfs:
port = self.generator.port_num(intf)
self.ports.append(port)
self.generator.client.add_streams(self.get_streams(profile_data), ports=port)
self.max_rate = self.rate
self.min_rate = 0
self.generator.client.start(ports=self.ports, mult=self.get_multiplier(),
duration=30, force=True)
self.drop_percent_at_max_tx = 0
self.throughput_max = 0
def get_multiplier(self):
""" Get the rate at which next iteration to run """
self.rate = round((self.max_rate + self.min_rate) / 2.0, 2)
multiplier = round(self.rate / self.pps, 2)
return str(multiplier)
def get_drop_percentage(self, generator=None):
""" Calculate the drop percentage and run the traffic """
if generator is None:
generator = self.generator
run_duration = self.generator.RUN_DURATION
samples = self.generator.generate_samples(self.ports)
in_packets = sum([value['in_packets'] for value in samples.values()])
out_packets = sum([value['out_packets'] for value in samples.values()])
packet_drop = abs(out_packets - in_packets)
drop_percent = 100.0
try:
drop_percent = round((packet_drop / float(out_packets)) * 100, 5)
except ZeroDivisionError:
LOGGING.info('No traffic is flowing')
# TODO(esm): RFC2544 doesn't tolerate packet loss, why do we?
tolerance_low = generator.rfc2544_helper.tolerance_low
tolerance_high = generator.rfc2544_helper.tolerance_high
tx_rate = out_packets / run_duration
rx_rate = in_packets / run_duration
throughput_max = self.throughput_max
drop_percent_at_max_tx = self.drop_percent_at_max_tx
if self.drop_percent_at_max_tx is None:
self.rate = tx_rate
self.first_run = False
if drop_percent > tolerance_high:
# TODO(esm): why don't we discard results that are out of tolerance?
self.max_rate = self.rate
if throughput_max == 0:
throughput_max = rx_rate
drop_percent_at_max_tx = drop_percent
elif drop_percent >= tolerance_low:
# TODO(esm): why do we update the samples dict in this case
# and not update our tracking values?
throughput_max = rx_rate
drop_percent_at_max_tx = drop_percent
elif drop_percent >= self.drop_percent_at_max_tx:
# TODO(esm): why don't we discard results that are out of tolerance?
self.min_rate = self.rate
self.drop_percent_at_max_tx = drop_percent_at_max_tx = drop_percent
self.throughput_max = throughput_max = rx_rate
else:
# TODO(esm): why don't we discard results that are out of tolerance?
self.min_rate = self.rate
generator.clear_client_stats(self.ports)
generator.start_client(self.ports, mult=self.get_multiplier(),
duration=run_duration, force=True)
# if correlated traffic update the Throughput
if generator.rfc2544_helper.correlated_traffic:
throughput_max *= 2
samples.update({
'TxThroughput': tx_rate,
'RxThroughput': rx_rate,
'CurrentDropPercentage': drop_percent,
'Throughput': throughput_max,
'DropPercentage': drop_percent_at_max_tx,
})
return samples
def execute_latency(self, generator=None, samples=None):
if generator is not None and self.generator is None:
self.generator = generator
if samples is None:
samples = self.generator.generate_samples()
self.pps, multiplier = self.calculate_pps(samples)
self.ports = []
self.pg_id = self.params['traffic_profile'].get('pg_id', 1)
for vld_id, intfs in sorted(self.generator.networks.items()):
profile_data = self.params.get(vld_id)
if not profile_data:
continue
# correlated traffic doesn't use public traffic?
if vld_id.startswith(self.DOWNLINK) and \
self.generator.rfc2544_helper.correlated_traffic:
continue
for intf in intfs:
port = self.generator.port_num(intf)
self.ports.append(port)
self.generator.client.add_streams(self.get_streams(profile_data), ports=port)
self.generator.start_client(ports=self.ports, mult=str(multiplier),
duration=120, force=True)
self.first_run = False
def calculate_pps(self, samples):
pps = round(samples['Throughput'] / 2, 2)
multiplier = round(self.rate / self.pps, 2)
return pps, multiplier
def create_single_stream(self, packet_size, pps, isg=0):
packet = self._create_single_packet(packet_size)
if pps:
stl_mode = STLTXCont(pps=pps)
else:
stl_mode = STLTXCont(pps=self.pps)
if self.pg_id:
LOGGING.debug("pg_id: %s", self.pg_id)
stl_flow_stats = STLFlowLatencyStats(pg_id=self.pg_id)
stream = STLStream(isg=isg, packet=packet, mode=stl_mode,
flow_stats=stl_flow_stats)
self.pg_id += 1
else:
stream = STLStream(isg=isg, packet=packet, mode=stl_mode)
return stream
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