data_sync_overhead.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
# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
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# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

import glob
import itertools
import json
import os
import sys

if len(sys.argv) != 2:
    print('Usage: data_sync_overhead.py OUTDIR')
    sys.exit(1)

basedir = sys.argv[1]

types_of_workload = ['sleep', 'busy']
types_of_sync = ['with', 'without']  # with or without simbricks


def time_diff_min(data):
    start_time = data['start_time']
    end_time = data['end_time']

    time_diff_in_min = (end_time - start_time) / 60
    return time_diff_in_min


print('# Workload' + '\t' + 'w/ simbricks' + '\t' + 'w/o simbricks')

for workload in types_of_workload:
    line = [workload]
    for sync in types_of_sync:
        if sync == 'with':
            path_pat = '%snoTraf-gt-ib-sw-%s' % (basedir, workload)
        else:
            path_pat = '%sno_simb-gt-%s' % (basedir, workload)

        runs = []
        for path in glob.glob(path_pat + '-*.json'):
            if path == path_pat + '-0.json':
                # skip checkpoints
                continue

            with open(path, 'r') as f:
                data = json.load(f)

            res = time_diff_min(data)
            if res is not None:
                runs.append(res)

        if not runs:
            line.append(' ')
        else:
            line.append('%d' % (sum(runs) / len(runs)))

    print('\t'.join(line))