diff options
Diffstat (limited to 'tools/pkt_gen')
| -rw-r--r-- | tools/pkt_gen/moongen/moongen.py | 48 | ||||
| -rw-r--r-- | tools/pkt_gen/xena/XenaDriver.py | 16 |
2 files changed, 50 insertions, 14 deletions
diff --git a/tools/pkt_gen/moongen/moongen.py b/tools/pkt_gen/moongen/moongen.py index 47f288a4..86a39a77 100644 --- a/tools/pkt_gen/moongen/moongen.py +++ b/tools/pkt_gen/moongen/moongen.py @@ -20,10 +20,11 @@ Moongen Traffic Generator Model """ # python imports -import logging from collections import OrderedDict -import subprocess +import logging +import math import re +import subprocess # VSPerf imports from conf import settings @@ -49,6 +50,13 @@ class Moongen(ITrafficGenerator): self._moongen_user = settings.getValue('TRAFFICGEN_MOONGEN_USER') self._moongen_ports = settings.getValue('TRAFFICGEN_MOONGEN_PORTS') + if settings.getValue('TRAFFICGEN_MOONGEN_LINE_SPEED_GBPS') == '10': + self._moongen_line_speed = math.pow(10, 10) + else: + raise RuntimeError( + 'MOONGEN: Invalid line speed in configuration ' + \ + 'file (today 10Gbps supported)') + @property def traffic_defaults(self): """Default traffic values. @@ -157,10 +165,17 @@ class Moongen(ITrafficGenerator): if one_shot: out_file.write("oneShot = true,\n") - # Assume 10G line rates at the moment. Need to convert VSPERF - # frame_rate (percentage of line rate) to Mpps for Moongen + # Need to convert VSPERF frame_rate (percentage of line rate) + # to Mpps for Moongen + start_rate = str( + (traffic['frame_rate'] / 100) * (self._moongen_line_speed / \ + (8 * (traffic['l2']['framesize'] + 20)) / math.pow(10, 6))) + + logging.debug("startRate = " + start_rate) + + out_file.write("startRate = " + \ + start_rate + "\n") - out_file.write("startRate = " + str((traffic['frame_rate'] / 100) * 14.88) + "\n") out_file.write("}" + "\n") out_file.close() @@ -473,10 +488,21 @@ class Moongen(ITrafficGenerator): 'PARAMETERS section of Moongen log file') frame_size = 0 - if results_match and parameters_match: + # Each packet stream in the MoonGen report is prefaced with the + # words '[REPORT]Device'. Count the instances of this string to + # get the total aggregrate throughput. For example: + # + # - If num_traffic_streams = 1, there is a single + # unidirectional stream + # + # - If num_traffic_streams = 2, there is a bidirectional + # traffic stream + num_traffic_streams = mytext.count('[REPORT]Device') + + if results_match and parameters_match and num_traffic_streams: # Assume for now 10G link speed - max_theoretical_mfps = ( - (10000000000 / 8) / (frame_size + 20)) + max_theoretical_fps = ( + num_traffic_streams * (10000000000 / 8) / (frame_size + 20)) moongen_results[ResultsConstants.THROUGHPUT_RX_FPS] = ( float(results_match.group(6)) * 1000000) @@ -485,8 +511,7 @@ class Moongen(ITrafficGenerator): (float(results_match.group(6)) * frame_size + 20) * 8) moongen_results[ResultsConstants.THROUGHPUT_RX_PERCENT] = ( - float(results_match.group(6)) * \ - 1000000 / max_theoretical_mfps * 100) + (100 * float(results_match.group(6)) * 1000000) / max_theoretical_fps) moongen_results[ResultsConstants.TX_RATE_FPS] = ( float(results_match.group(5)) * 1000000) @@ -495,8 +520,7 @@ class Moongen(ITrafficGenerator): float(results_match.group(5)) * (frame_size + 20) * 8) moongen_results[ResultsConstants.TX_RATE_PERCENT] = ( - float(results_match.group(5)) * - 1000000 / max_theoretical_mfps * 100) + (100 * float(results_match.group(5)) * 1000000) / max_theoretical_fps) moongen_results[ResultsConstants.B2B_TX_COUNT] = ( float(results_match.group(1))) diff --git a/tools/pkt_gen/xena/XenaDriver.py b/tools/pkt_gen/xena/XenaDriver.py index aa8443c9..d3862312 100644 --- a/tools/pkt_gen/xena/XenaDriver.py +++ b/tools/pkt_gen/xena/XenaDriver.py @@ -1001,9 +1001,21 @@ class XenaTXStats(object): mydict = statdict return mydict - def aggregate_stats(stat1, stat2): """ + Judge whether stat1 and stat2 both have same key, if both have same key, + call the aggregate fuction, else use the stat1's value + """ + newstat = dict() + for keys in stat1.keys(): + if keys in stat2 and isinstance(stat1[keys], dict): + newstat[keys] = aggregate(stat1[keys], stat2[keys]) + else: + newstat[keys] = stat1[keys] + return newstat + +def aggregate(stat1, stat2): + """ Recursive function to aggregate two sets of statistics. This is used when bi directional traffic is done and statistics need to be calculated based on two sets of statistics. @@ -1014,7 +1026,7 @@ def aggregate_stats(stat1, stat2): newstat = dict() for (keys1, keys2) in zip(stat1.keys(), stat2.keys()): if isinstance(stat1[keys1], dict): - newstat[keys1] = aggregate_stats(stat1[keys1], stat2[keys2]) + newstat[keys1] = aggregate(stat1[keys1], stat2[keys2]) else: if not isinstance(stat1[keys1], int) and not isinstance( [keys1], float): |