# 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, # TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE # SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. import glob import json 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 # pylint: disable=redefined-outer-name 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 = f'{basedir}noTraf-gt-ib-sw-{workload}' else: path_pat = f'{basedir}no_simb-gt-{workload}' runs = [] for path in glob.glob(path_pat + '-*.json'): if path == path_pat + '-0.json': # skip checkpoints continue with open(path, 'r', encoding='utf-8') 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(f'{sum(runs) / len(runs)}') print('\t'.join(line))