ScaleLoad.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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# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

import sys
import os
import pathlib
import shutil
import json
import math

num_runs = 3
if len(sys.argv) != 2:
    print('Usage: python3 ScaleLoad.py OUTDIR')
    sys.exit(1)

basedir = sys.argv[1] + '/'

# FIXME: dropped 120 because it looks off
types_of_bw = [0, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000]

for bw in types_of_bw:
    total_time = 0
    avg_time = 0
    std = 0
    all_time = []
    for i in range(1, num_runs+1):
        log_path = '%sgt-ib-sw-Load-%dm-%d.json' % (basedir, bw, i)
        if os.path.exists(log_path):
            log = open(log_path, 'r')
            exp_log = json.load(log)
            start_time = exp_log["start_time"]
            end_time = exp_log["end_time"]
            diff_time = (end_time - start_time)/60 #min
            total_time += diff_time
            all_time.append(diff_time)
            diff_time = str(diff_time)

            log.close()
        else:
            diff_time = ''

        #print('%d\t%s' % (bw, diff_time))

    avg_time = total_time/num_runs
    #print('avg_time: ' + str(avg_time))
    

    for i in range(0, num_runs):
        std += (all_time[i] - avg_time) * (all_time[i] - avg_time)
    
    std = std/num_runs
    std = math.sqrt(std)
    #print(str(std))
    print('%d %s %f' % (bw, avg_time, std))