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plot_result.py
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plot_result.py
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import os
import sys
import argparse
import matplotlib
matplotlib.use('Agg')
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
sys.path.append(os.path.join(os.path.dirname(__file__), './end-user/'))
import Constants
import central_database
import simulated_mobile_eu_db as eu_database
service_names = [Constants.YOLO, Constants.OPENFACE, Constants.SIMPLE_SERVICE]
def plot_downtime():
pass
def plot_migration(df, file_name):
fix, ax = plt.subplots()
fix.suptitle('Migration time')
columns = ['service', 'pre_checkpoint', 'pre_rsync', 'checkpoint', 'xdelta_source',
'final_rsync', 'xdelta_dest', 'restore']
migration = df[columns].groupby('service').aggregate('mean')
migration.plot.bar(stacked=True)
plt.savefig('{}.eps'.format(file_name), format='eps', dpi=1000)
plt.savefig('{}.png'.format(file_name), dpi=1000)
plt.close()
def plot_cdf_e2e_delay(df, file_name, bins=1000):
fig, ax = plt.subplots()
fig.suptitle('CDF of E2E delay')
ax.set_xlabel('Processing time (ms)')
for title, group in df.groupby('service'):
group['proc_delay'].plot.hist(cumulative=True, density=1,
histtype='step', bins=bins, label=title)
plt.savefig('{}.eps'.format(file_name), format='eps', dpi=1000)
plt.savefig('{}.png'.format(file_name), dpi=1000)
plt.close()
def get_service_name_from_user(service_id, name):
return service_id[:-len(name)]
def filter_name(name):
for s in service_names:
len_s = len(s)
if s == name[:len_s]:
return pd.Series({'service': s, 'user': name[len_s:]})
return pd.Series({'service': '', 'user':''})
def process_service_id(df, field_name='service_id'):
df[['service', 'user']] = df[field_name].apply(filter_name)
def preprocess_centre_db(files):
db = central_database.DBCentral(database=f)
df_request = pd.read_sql_table('user_service', db.engine)
process_service_id(df_request)
df_migration = pd.read_sql_table('migrate_history', db.engine)
df_migration['service_id'] = df_migration['service']
process_service_id(df_migration)
db.close()
return df_request, df_migration
def main(server_files, eu_files):
dbs = map(preprocess_centre_db, server_files)
df_request = pd.concat([df[0] for db in dbs])
df_migration = pd.concat([df[1] for db in dbs])
plot_cdf_e2e_delay(df_request, 'e2e_cdf')
plot_migration(df_migration, 'service_migration')
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument(
'--server_files',
help="Server database files",
nargs='*')
parser.add_argument(
'--eu_files',
help="EU database files",
nargs='*')
args = parser.parse_args()
print(args)
main(args.server_files, args.eu_files)