data_netperf.py

# Copyright 2021 Max Planck Institute for Software Systems, and
# National University of Singapore
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
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from utils.netperf import *
import sys
from time import strftime
from time import gmtime


def fmt_lat(lat):
    if not lat:
        return ''

    x = float(lat)
    if x >= 1000.:
        return '%.1f\\,ms' % (x / 1000)
    else:
        return '%d\\,$\\mu$s' % (int(x))


def fmt_tp(tp):
    if not tp:
        return ''

    x = float(tp)
    if x > 1000.:
        return '%.2f\\,G' % (x / 1000)
    else:
        return '%d\\,M' % (int(x))


hosts = [('qemu', 'QK'), ('qt', 'QT'), ('gt', 'G5')]
nics = [('ib', 'IB'), ('cb', 'CB'), ('cv', 'CV')]
nets = [('sw', 'SW'), ('ns3', 'NS')]

outdir = sys.argv[1]

for (h, h_l) in hosts:
    for (nic, nic_l) in nics:
        for (net, net_l) in nets:
            path = '%s/nf-%s-%s-%s-1.json' % (outdir, h, net, nic)
            data = parse_netperf_run(path)
            if 'simtime' in data:
                t = strftime("%H:%M:%S", gmtime(data['simtime']))
            else:
                t = ''

            tp = fmt_tp(data.get('throughput', ''))
            latMean = fmt_lat(data.get('latenyMean', ''))
            latTail = fmt_lat(data.get('latenyTail', ''))
            print(
                '  %s & %s & %s & %s & %s & %s \\\\' %
                (h_l, nic_l, net_l, tp, latMean, t)
            )