diff options
Diffstat (limited to 'yardstick/network_services/traffic_profile')
| -rw-r--r-- | yardstick/network_services/traffic_profile/ixia_rfc2544.py | 25 | ||||
| -rw-r--r-- | yardstick/network_services/traffic_profile/prox_binsearch.py | 105 |
2 files changed, 76 insertions, 54 deletions
diff --git a/yardstick/network_services/traffic_profile/ixia_rfc2544.py b/yardstick/network_services/traffic_profile/ixia_rfc2544.py index 760b1e8d3..461604fb8 100644 --- a/yardstick/network_services/traffic_profile/ixia_rfc2544.py +++ b/yardstick/network_services/traffic_profile/ixia_rfc2544.py @@ -96,7 +96,7 @@ class IXIARFC2544Profile(trex_traffic_profile.TrexProfile): 'count': ip['count'], 'dscp': ip['dscp'], 'ttl': ip['ttl'], - 'seed': ip['seed'], + 'seed': ip.get('seed', 1), 'srcip': srcip, 'dstip': dstip, 'srcmask': srcmask, @@ -110,7 +110,7 @@ class IXIARFC2544Profile(trex_traffic_profile.TrexProfile): 'srcportmask': src_port_mask, 'dstportmask': dst_port_mask, 'count': outer_l4['count'], - 'seed': outer_l4['seed'], + 'seed': outer_l4.get('seed', 1) } } @@ -179,10 +179,6 @@ class IXIARFC2544Profile(trex_traffic_profile.TrexProfile): except ZeroDivisionError: LOG.info('No traffic is flowing') - samples['TxThroughput'] = tx_throughput - samples['RxThroughput'] = rx_throughput - samples['DropPercentage'] = drop_percent - if first_run: completed = True if drop_percent <= tolerance else False if (first_run and @@ -196,4 +192,21 @@ class IXIARFC2544Profile(trex_traffic_profile.TrexProfile): else: completed = True + latency_ns_avg = float( + sum([samples[iface]['Store-Forward_Avg_latency_ns'] + for iface in samples])) / num_ifaces + latency_ns_min = float( + sum([samples[iface]['Store-Forward_Min_latency_ns'] + for iface in samples])) / num_ifaces + latency_ns_max = float( + sum([samples[iface]['Store-Forward_Max_latency_ns'] + for iface in samples])) / num_ifaces + + samples['TxThroughput'] = tx_throughput + samples['RxThroughput'] = rx_throughput + samples['DropPercentage'] = drop_percent + samples['latency_ns_avg'] = latency_ns_avg + samples['latency_ns_min'] = latency_ns_min + samples['latency_ns_max'] = latency_ns_max + return completed, samples diff --git a/yardstick/network_services/traffic_profile/prox_binsearch.py b/yardstick/network_services/traffic_profile/prox_binsearch.py index 506a880e0..16a0411ec 100644 --- a/yardstick/network_services/traffic_profile/prox_binsearch.py +++ b/yardstick/network_services/traffic_profile/prox_binsearch.py @@ -25,6 +25,14 @@ from yardstick.common import constants as overall_constants LOG = logging.getLogger(__name__) +STATUS_SUCCESS = "Success" +STATUS_FAIL = "Failure" +STATUS_RESULT = "Result" +STEP_CONFIRM = "Confirm retry" +STEP_INCREASE_LOWER = "Increase lower" +STEP_DECREASE_LOWER = "Decrease lower" +STEP_DECREASE_UPPER = "Decrease upper" + class ProxBinSearchProfile(ProxProfile): """ @@ -85,18 +93,16 @@ class ProxBinSearchProfile(ProxProfile): # success, the binary search will complete on an integer multiple # of the precision, rather than on a fraction of it. - theor_max_thruput = actual_max_thruput = 0 + theor_max_thruput = 0 result_samples = {} - # Store one time only value in influxdb - single_samples = { + test_data = { "test_duration": traffic_gen.scenario_helper.scenario_cfg["runner"]["duration"], "test_precision": self.params["traffic_profile"]["test_precision"], "tolerated_loss": self.params["traffic_profile"]["tolerated_loss"], "duration": duration } - self.queue.put(single_samples) self.prev_time = time.time() # throughput and packet loss from the most recent successful test @@ -110,85 +116,88 @@ class ProxBinSearchProfile(ProxProfile): neg_retry = 0 total_retry = 0 - LOG.info("Checking MAX %s MIN %s TEST %s", - self.current_upper, self.lower_bound, test_value) + LOG.info("Checking MAX %s MIN %s TEST %s", self.current_upper, + self.lower_bound, test_value) + while (pos_retry <= ok_retry) and (neg_retry <= ok_retry): total_retry = total_retry + 1 + result, port_samples = self._profile_helper.run_test(pkt_size, duration, test_value, self.tolerated_loss, line_speed) - if (total_retry > (ok_retry * 3)) and (ok_retry is not 0): - LOG.info("Failure.!! .. RETRY EXCEEDED ... decrease lower bound") + if (total_retry > (ok_retry * 3)) and (ok_retry is not 0): + status = STATUS_FAIL + next_step = STEP_DECREASE_LOWER successful_pkt_loss = result.pkt_loss - samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples) - self.current_upper = test_value neg_retry = total_retry elif result.success: if (pos_retry < ok_retry) and (ok_retry is not 0): - neg_retry = 0 - LOG.info("Success! ... confirm retry") - + status = STATUS_SUCCESS + next_step = STEP_CONFIRM successful_pkt_loss = result.pkt_loss - samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples) - + neg_retry = 0 else: - LOG.info("Success! Increasing lower bound") + status = STATUS_SUCCESS + next_step = STEP_INCREASE_LOWER self.current_lower = test_value - successful_pkt_loss = result.pkt_loss - samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples) - - # store results with success tag in influxdb - success_samples = \ - {'Success_' + key: value for key, value in samples.items()} - - success_samples["Success_rx_total"] = int(result.rx_total) - success_samples["Success_tx_total"] = int(result.tx_total) - success_samples["Success_can_be_lost"] = int(result.can_be_lost) - success_samples["Success_drop_total"] = int(result.drop_total) - success_samples["Success_RxThroughput"] = samples["RxThroughput"] - success_samples["Success_RxThroughput_gbps"] = \ - (samples["RxThroughput"] / 1000) * ((pkt_size + 20)* 8) - LOG.info(">>>##>>Collect SUCCESS TG KPIs %s %s", - datetime.datetime.now(), success_samples) - self.queue.put(success_samples, True, overall_constants.QUEUE_PUT_TIMEOUT) - - # Store Actual throughput for result samples - actual_max_thruput = success_samples["Success_RxThroughput"] pos_retry = pos_retry + 1 else: if (neg_retry < ok_retry) and (ok_retry is not 0): - + status = STATUS_FAIL + next_step = STEP_CONFIRM pos_retry = 0 - LOG.info("failure! ... confirm retry") else: - LOG.info("Failure... Decreasing upper bound") + status = STATUS_FAIL + next_step = STEP_DECREASE_UPPER self.current_upper = test_value neg_retry = neg_retry + 1 - samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples) + + LOG.info( + "Status = '%s' Next_Step = '%s'", status, next_step) + + samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples) if theor_max_thruput < samples["TxThroughput"]: theor_max_thruput = samples['TxThroughput'] - self.queue.put({'theor_max_throughput': theor_max_thruput}) - - LOG.info(">>>##>>Collect TG KPIs %s %s", datetime.datetime.now(), samples) + samples['theor_max_throughput'] = theor_max_thruput + + samples["rx_total"] = int(result.rx_total) + samples["tx_total"] = int(result.tx_total) + samples["can_be_lost"] = int(result.can_be_lost) + samples["drop_total"] = int(result.drop_total) + samples["RxThroughput_gbps"] = \ + (samples["RxThroughput"] / 1000) * ((pkt_size + 20) * 8) + samples['Status'] = status + samples['Next_Step'] = next_step samples["MAX_Rate"] = self.current_upper samples["MIN_Rate"] = self.current_lower samples["Test_Rate"] = test_value samples["Step_Id"] = step_id samples["Confirmation_Retry"] = total_retry + + samples.update(test_data) + + if status == STATUS_SUCCESS and next_step == STEP_INCREASE_LOWER: + # Store success samples for result samples + result_samples = samples + + LOG.info(">>>##>>Collect TG KPIs %s %s", datetime.datetime.now(), samples) + self.queue.put(samples, True, overall_constants.QUEUE_PUT_TIMEOUT) - LOG.info(">>>##>> Result Reached PktSize %s Theor_Max_Thruput %s Actual_throughput %s", - pkt_size, theor_max_thruput, actual_max_thruput) - result_samples["Result_pktSize"] = pkt_size - result_samples["Result_theor_max_throughput"] = theor_max_thruput - result_samples["Result_Actual_throughput"] = actual_max_thruput + LOG.info( + ">>>##>> Result Reached PktSize %s Theor_Max_Thruput %s Actual_throughput %s", + pkt_size, theor_max_thruput, result_samples.get("RxThroughput", 0)) + result_samples["Status"] = STATUS_RESULT + result_samples["Next_Step"] = "" + result_samples["Actual_throughput"] = result_samples.get("RxThroughput", 0) + result_samples["theor_max_throughput"] = theor_max_thruput self.queue.put(result_samples) |