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lte_sim_helper.py
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lte_sim_helper.py
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#!/usr/bin/python
# -*- coding:utf-8 -*-
'''
Copyright (c) 2012 Federal University of Uberlândia
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License version 3 as
published by the Free Software Foundation;
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, see <http://www.gnu.org/licenses/>.
Author: Saulo da Mata <damata.saulo@gmail.com>
'''
from subprocess import call, Popen
from multiprocessing import Process, Queue, cpu_count
import sys, time, numpy, random, os
from datetime import datetime
from copy import deepcopy
from setup_parser import SetupParser
class LteSimHelper( object ):
def __init__( self ):
parser = SetupParser()
self.par_dict = parser.parse( 'setup.cfg' )
self.users_list = self.get_users_list()
self.config_path = os.getcwd() + '/setup.cfg'
self.schedulers_list = self.par_dict['SCHEDULERS'].split()
self.bw = float( self.par_dict['DL_BW'] ) * pow( 10, 6 )
self.n_dec = int( self.par_dict['N_DEC'] )
self.cdf_gran = int( self.par_dict['CDF_GRAN'] )
self.cdf_factor = pow( 10, len( self.par_dict['CDF_GRAN'] ) - 1 )
self.start = datetime.now()
if self.par_dict['CELL_MODE'] == 'Single':
self.cell_factor = 1
elif self.par_dict['CELL_MODE'] == 'Multi':
self.cell_factor = int( self.par_dict['N_CELLS'] )
else:
print "\n\n>> ERROR! CELL_MODE: '" + self.par_dict['CELL_MODE'] + "' not supported!"
exit()
call( ['mkdir -p ' + self.par_dict['SAVE_DIR'] + 'sim'], shell=True )
call( ['mkdir -p ' + self.par_dict['SAVE_DIR'] + 'dat'], shell=True )
self.flow_list = []
if int( self.par_dict['N_VOIP'] ):
self.flow_list.append( 'VOIP' )
call( ['mkdir -p ' + self.par_dict['SAVE_DIR'] + 'dat/' + 'VOIP'], shell=True )
if int( self.par_dict['N_VIDEO'] ):
self.flow_list.append( 'VIDEO' )
call( ['mkdir -p ' + self.par_dict['SAVE_DIR'] + 'dat/' + 'VIDEO'], shell=True )
if int( self.par_dict['N_BE'] ):
self.flow_list.append( 'INF_BUF' )
call( ['mkdir -p ' + self.par_dict['SAVE_DIR'] + 'dat/' + 'INF_BUF'], shell=True )
f = open( 'pid', 'w' )
f.close()
#------------------------------------------------------------------------------
def get_parameters( self ):
commands = []
for s in self.schedulers_list:
for u in self.users_list:
for i in range( int( self.par_dict['NUM_SIM'] ) ):
if self.par_dict['SEED'] == 'Random':
seed = random.randint( 0, 1000000 )
else:
seed = i + 1
tmp = self.par_dict['LTE_SIM_PATH'] + ' '
tmp += self.par_dict['LTE_SCENARIO'] + ' ' + str( u ) + ' '
tmp += s + ' ' + str( seed ) + ' '
tmp += self.config_path
tmp2 = self.par_dict['SAVE_DIR'] + 'sim/' + self.par_dict['LTE_SCENARIO'] + '_' + s + '_' + self.par_dict['N_CELLS'] + 'C' + str( u ) + 'U_' + str( i + 1 ) + '.sim'
commands.append( ( tmp, tmp2, u ) )
return commands
#------------------------------------------------------------------------------
def run_simulations( self, q_gui ):
n_cpu = cpu_count()
commands = self.get_parameters()
n_scen = len( commands )
running = 0
finished = 0
q = Queue()
print '>> You have ' + str( n_scen ) + ' simulations to run!'
print '>> You`re using ' + self.par_dict['N_CPUs'] + ' of ' + str( n_cpu ) + ' CPUs available in this machine!'
self.start = datetime.now()
print '>> Starting simulations at ' + str( self.start ) + '\n'
print self.par_dict['N_CPUs']
q_gui.put( ['running: ' + str( running ) + '\twaiting: ' + str( len( commands ) ) + '\tdone: ' + str( finished ),
finished / float( n_scen ),
False, False] )
try:
while finished < n_scen:
while len( commands ):
if running < int( self.par_dict['N_CPUs'] ):
running += 1
if len( commands ) == 1:
p = Process( target=self.trigger_simulation, args=( commands[-1], q, ) )
commands.pop()
self.counter( '\trunning: ', running,
'\twaiting: ', len( commands ),
'\tfinished: ', finished )
p.start()
q_gui.put( ['running: ' + str( running ) + '\twaiting: ' + str( len( commands ) ) + '\tdone: ' + str( finished ),
finished / float( n_scen ),
False, False] )
p.join()
else:
p = Process( target=self.trigger_simulation, args=( commands[-1], q, ) )
p.start()
q_gui.put( ['running: ' + str( running ) + '\twaiting: ' + str( len( commands ) ) + '\tdone: ' + str( finished ),
finished / float( n_scen ),
False, False] )
commands.pop()
else:
if not q.empty():
q.get()
running -= 1
finished += 1
time.sleep( 1 )
self.counter( '\trunning: ', running,
'\twaiting: ', len( commands ),
'\tfinished: ', finished )
q_gui.put( ['running: ' + str( running ) + '\twaiting: ' + str( len( commands ) ) + '\tdone: ' + str( finished ),
finished / float( n_scen ),
False, False] )
if not q.empty():
q.get()
running -= 1
finished += 1
time.sleep( 1 )
self.counter( '\trunning: ', running,
'\twaiting: ', len( commands ),
'\tfinished: ', finished )
q_gui.put( ['running: ' + str( running ) + '\twaiting: ' + str( len( commands ) ) + '\tdone: ' + str( finished ),
finished / float( n_scen ),
False, False] )
except KeyboardInterrupt:
print '\n\n>> Ctrl+c pressed! Exiting...\n'
self.counter( '\trunning: ', running,
'\twaiting: ', len( commands ),
'\tfinished: ', finished )
q_gui.put( ['running: ' + str( running ) + '\twaiting: ' + str( len( commands ) ) + '\tdone: ' + str( finished ),
finished / float( n_scen ),
True, False] )
print '\n\n>> The simulations have finished!'
#------------------------------------------------------------------------------
def trigger_simulation( self, command, q ):
output_file = open( command[1], 'w' )
p = Popen( [command[0]], shell=True, stdout=output_file )
p.wait()
q.put( [1] )
#------------------------------------------------------------------------------
def compute_results( self , q_gui ):
print '\n>> Processing results...'
commands = self.get_parameters()
self.initialize_lists( commands )
self.spawn_processes( commands, q_gui )
self.write_to_file()
if self.par_dict['ERASE_TRACE_FILES'] == 'yes':
call( ['rm -rf ' + self.par_dict['SAVE_DIR'] + 'sim'], shell=True )
end = datetime.now()
print '\n\n>> done! (at ' + str( end ) + ')\tTotal time: ', ( end - self.start )
print '\n>> Check your SAVE DIRECTORY!\n>> Bye!'
#------------------------------------------------------------------------------
def initialize_lists( self, commands ):
self.l_th = []
self.l_th_2 = []
self.l_th_bearers = []
self.l_rx = []
self.l_tx = []
self.l_delay = []
self.l_delay_occur = []
for c in commands:
tmp_th = []
tmp_th_2 = []
tmp_fi = []
tmp_rx = []
tmp_tx = []
tmp_delay = []
tmp_delay_occur = []
for f in self.flow_list:
tmp_fi_2 = []
tmp_th.append( 0 )
tmp_th_2.append( 0 )
tmp_rx.append( 0 )
tmp_tx.append( 0 )
tmp_delay.append( 0 )
tmp_delay_occur.append( 0 )
for u in range( int( c[2] ) * self.cell_factor ):
tmp_fi_2.append( 0 )
tmp_fi.append( tmp_fi_2 )
self.l_th.append( tmp_th )
self.l_th_2.append( tmp_th_2 )
self.l_th_bearers.append( tmp_fi )
self.l_rx.append( tmp_rx )
self.l_tx.append( tmp_tx )
self.l_delay.append( tmp_delay )
self.l_delay_occur.append( tmp_delay_occur )
#------------------------------------------------------------------------------
def spawn_processes( self, commands, q_gui ):
n_scen = len( commands )
running = 0
finished = 0
q = Queue()
q_gui.put( ['running: ' + str( running ) + '\twaiting: ' + str( len( commands ) ) + '\tdone: ' + str( finished ),
finished / float( n_scen ),
False, False] )
try:
while finished < n_scen:
while len( commands ):
if running < int( self.par_dict['N_CPUs'] ):
running += 1
if len( commands ) == 1:
self.proc = Process( target=self.parse_result_file,
args=( commands[-1][1], commands[-1][2], len( commands ) - 1, q, ) )
commands.pop()
self.counter( '\trunning: ', running,
'\twaiting: ', len( commands ),
'\tfinished: ', finished )
q_gui.put( ['running: ' + str( running ) + '\twaiting: ' + str( len( commands ) ) + '\tdone: ' + str( finished ),
finished / float( n_scen ),
False, False] )
self.proc.start()
self.proc.join()
else:
self.proc = Process( target=self.parse_result_file,
args=( commands[-1][1], commands[-1][2], len( commands ) - 1, q, ) )
self.proc.start()
commands.pop()
else:
if not q.empty():
cb = q.get()
for k in range( len( cb[1] ) ):
self.l_th[cb[0]][k] = cb[1][k] / float( self.par_dict['SIM_TIME_FLOW'] )
self.l_th_2[cb[0]][k] = cb[1][k] / float( self.par_dict['SIM_TIME'] )
self.l_rx[cb[0]][k] = cb[3][k]
self.l_tx[cb[0]][k] = cb[4][k]
self.l_delay[cb[0]][k] = cb[5][k]
self.l_delay_occur[cb[0]][k] = deepcopy( cb[6][k] )
for j in range( len( cb[2][k] ) ):
self.l_th_bearers[cb[0]][k][j] = cb[2][k][j] / float( self.par_dict['SIM_TIME_FLOW'] )
running -= 1
finished += 1
time.sleep( 0.1 )
self.counter( '\trunning: ', running,
'\twaiting: ', len( commands ),
'\tfinished: ', finished )
q_gui.put( ['running: ' + str( running ) + '\twaiting: ' + str( len( commands ) ) + '\tdone: ' + str( finished ),
finished / float( n_scen ),
False, False] )
if not q.empty():
cb = q.get()
for k in range( len( cb[1] ) ):
self.l_th[cb[0]][k] = cb[1][k] / float( self.par_dict['SIM_TIME_FLOW'] )
self.l_th_2[cb[0]][k] = cb[1][k] / float( self.par_dict['SIM_TIME'] )
self.l_rx[cb[0]][k] = cb[3][k]
self.l_tx[cb[0]][k] = cb[4][k]
self.l_delay[cb[0]][k] = cb[5][k]
self.l_delay_occur[cb[0]][k] = deepcopy( cb[6][k] )
for j in range( len( cb[2][k] ) ):
self.l_th_bearers[cb[0]][k][j] = cb[2][k][j] / float( self.par_dict['SIM_TIME_FLOW'] )
running -= 1
finished += 1
time.sleep( 0.1 )
self.counter( '\trunning: ', running,
'\twaiting: ', len( commands ),
'\tfinished: ', finished )
q_gui.put( ['running: ' + str( running ) + '\twaiting: ' + str( len( commands ) ) + '\tdone: ' + str( finished ),
finished / float( n_scen ),
False, False] )
except KeyboardInterrupt:
print '\n\n>> Ctrl+c pressed! Exiting...\n'
# exit()
self.counter( '\trunning: ', running,
'\twaiting: ', len( commands ),
'\tfinished: ', finished )
q_gui.put( ['running: ' + str( running ) + '\twaiting: ' + str( len( commands ) ) + '\tdone: ' + str( finished ),
finished / float( n_scen ),
True, True] )
#------------------------------------------------------------------------------
def parse_result_file( self, file_name, u, i, q ):
f_data = open( file_name )
sum_size_th = []
sum_size_fi = []
sum_rx = []
sum_tx = []
sum_delay = []
occur = []
for f in self.flow_list:
tmp = []
sum_size_th.append( 0 )
sum_rx.append( 0 )
sum_tx.append( 0 )
sum_delay.append( 0 )
tmp2 = []
for j in range( self.cdf_gran ):
tmp2.append( 0 )
occur.append( tmp2 )
for s in range( int( u ) * self.cell_factor * len( self.flow_list ) ):
tmp.append( 0 )
sum_size_fi.append( tmp )
for line in f_data:
for f in self.flow_list:
if line.startswith( 'RX ' + f ):
tmp = line.split()
sum_size_th[self.flow_list.index( f )] += float( tmp[7] ) * 8 #*8: bytes to bits
sum_size_fi[self.flow_list.index( f )][int( tmp[5] )] += float( tmp[7] ) * 8
sum_rx[self.flow_list.index( f )] += 1
sum_delay[self.flow_list.index( f )] += float( tmp[13] )
for j in range( self.cdf_gran ):
if int( numpy.ceil( float( tmp[13] ) * self.cdf_gran ) ) <= j:
occur[self.flow_list.index( f )][j] += 1
break
elif line.startswith( 'TX ' + f ):
sum_tx[self.flow_list.index( f )] += 1
sum_size_fi_no_0 = []
for w in range( len( self.flow_list ) ):
sum_size_fi_no_0.append( filter( lambda a: a != 0, sum_size_fi[w] ) )
q.put( [i, sum_size_th, sum_size_fi_no_0, sum_rx, sum_tx, sum_delay, occur] )
#------------------------------------------------------------------------------
def write_to_file( self ):
l_se = []
f_se = open( self.par_dict['SAVE_DIR'] + 'dat/' + self.par_dict['LTE_SCENARIO'] + '_spectral_efficiency.dat', 'w' )
self.insert_header_scheduler( f_se, '#SPECTRAL EFFICIENCY (bits/s/Hz)\n#USERS' )
for f in range( len( self.flow_list ) ):
f_th = open( self.par_dict['SAVE_DIR'] + 'dat/' + self.flow_list[f] + '/' + self.par_dict['LTE_SCENARIO'] + '_' + self.flow_list[f] + '_aggregate_throughput.dat', 'w' )
f_th_user = open( self.par_dict['SAVE_DIR'] + 'dat/' + self.flow_list[f] + '/' + self.par_dict['LTE_SCENARIO'] + '_' + self.flow_list[f] + '_user_throughput.dat', 'w' )
f_fi = open( self.par_dict['SAVE_DIR'] + 'dat/' + self.flow_list[f] + '/' + self.par_dict['LTE_SCENARIO'] + '_' + self.flow_list[f] + '_fairness_index.dat', 'w' )
f_plr = open( self.par_dict['SAVE_DIR'] + 'dat/' + self.flow_list[f] + '/' + self.par_dict['LTE_SCENARIO'] + '_' + self.flow_list[f] + '_packet_loss_rate.dat', 'w' )
f_delay = open( self.par_dict['SAVE_DIR'] + 'dat/' + self.flow_list[f] + '/' + self.par_dict['LTE_SCENARIO'] + '_' + self.flow_list[f] + '_delay.dat', 'w' )
f_se_2 = open( self.par_dict['SAVE_DIR'] + 'dat/' + self.flow_list[f] + '/' + self.par_dict['LTE_SCENARIO'] + '_' + self.flow_list[f] + '_spectral_efficiency.dat', 'w' )
self.insert_header_scheduler( f_th, '#AGGREGATE CELL THROUGHPUT (Mbps)\n#USERS' )
self.insert_header_scheduler( f_th_user, '#AVERAGE USER THROUGHPUT (Mbps)\n#USERS' )
self.insert_header_scheduler( f_fi, '#FAIRNESS INDEX\n#USERS' )
self.insert_header_scheduler( f_plr, '#PACKET LOSS RATE\n#USERS' )
self.insert_header_scheduler( f_delay, '#AVERAGE CELL DELAY (s)\n#USERS' )
self.insert_header_scheduler( f_se_2, '#SPECTRAL EFFICIENCY (bits/s/Hz)\n#USERS' )
c = 0
for u in self.users_list:
f_cdf = open( self.par_dict['SAVE_DIR'] + 'dat/' + self.flow_list[f] + '/' + self.par_dict['LTE_SCENARIO'] + '_' + self.flow_list[f] + '_CDF_' + str( u ) + '.dat', 'w' )
self.insert_header_scheduler( f_cdf, '#CDF ' + str( u ) + ' Users\n#Delay' )
f_th.write( str( u ) )
f_th_user.write( str( u ) )
f_fi.write( str( u ) )
f_plr.write( str( u ) )
f_delay.write( str( u ) )
f_se_2.write( str( u ) )
for s in range( len( self.schedulers_list ) ):
tmp_th = []
tmp_th_user = []
tmp_fi = []
tmp_plr = []
tmp_delay = []
tmp_se = []
for i in range( int( self.par_dict['NUM_SIM'] ) ):
h = i + c + ( s * len( self.users_list ) * int( self.par_dict['NUM_SIM'] ) )
tmp_th.append( self.l_th[h][f] )
tmp_th_user.append( self.l_th[h][f] / float( u ) )
try:
tmp_plr.append( 1 - self.l_rx[h][f] / float( self.l_tx[h][f] ) )
except ZeroDivisionError:
print "\n\n>> ERROR! I could not find a throughput value. I`m quite sure that your simulation has failed!"
print "\tPlease take a look in .sim files!"
exit()
try:
tmp_delay.append( self.l_delay[h][f] / float( self.l_rx[h][f] ) )
except ZeroDivisionError:
tmp_delay.append( 0 )
tmp_se.append( self.l_th_2[h][f] )
sum_goodput = 0
sum_sq_goodput = 0
for k in self.l_th_bearers[h][f]:
sum_goodput += k
sum_sq_goodput += pow( k, 2 )
sq_sum_goodput = pow( sum_goodput, 2 )
try:
tmp_fi.append( sq_sum_goodput / float( len( self.l_th_bearers[h][f] ) * sum_sq_goodput ) )
except ZeroDivisionError:
tmp_fi.append( 0 )
th_mean = round( numpy.mean( tmp_th ) * pow( 10, -6 ), self.n_dec ) # transform to Mbps
th_user_mean = round( numpy.mean( tmp_th_user ) * pow( 10, -6 ), self.n_dec ) # transform to Mbps
fi_mean = round( numpy.mean( tmp_fi ), self.n_dec )
plr_mean = round( numpy.mean( tmp_plr ), self.n_dec )
delay_mean = round( numpy.mean( tmp_delay ), self.n_dec )
se_mean = round( numpy.mean( tmp_se ) / self.bw, self.n_dec )
if delay_mean == 0.0: delay_mean = 'INFINITE'
l_se.append( ( str( u ), numpy.mean( tmp_se ) ) )
f_th.write( '\t' + str( th_mean ) )
f_th_user.write( '\t' + str( th_user_mean ) )
f_fi.write( '\t' + str( fi_mean ) )
f_plr.write( '\t' + str( plr_mean ) )
f_delay.write( '\t' + str( delay_mean ) )
f_se_2.write( '\t' + str( se_mean ) )
for w in range( self.cdf_gran ):
f_cdf.write( str( w / float( self.cdf_gran ) ) )
for s in range( len( self.schedulers_list ) ):
tmp_cdf_2 = []
for i in range( int( self.par_dict['NUM_SIM'] ) ):
h = i + c + ( s * len( self.users_list ) * int( self.par_dict['NUM_SIM'] ) )
try:
tmp_cdf_2.append( self.l_delay_occur[h][f][w] / float( self.l_rx[h][f] ) )
except ZeroDivisionError:
tmp_cdf_2.append( 0 )
cdf_mean = round( numpy.mean( tmp_cdf_2 ), self.n_dec )
f_cdf.write( '\t' + str( cdf_mean ) )
f_cdf.write( '\n' )
f_cdf.close()
c += int( self.par_dict['NUM_SIM'] )
f_th.write( '\n' )
f_th_user.write( '\n' )
f_fi.write( '\n' )
f_plr.write( '\n' )
f_delay.write( '\n' )
f_se_2.write( '\n' )
f_th.close()
f_th_user.close()
f_fi.close()
f_plr.close()
f_delay.close()
f_se_2.close()
x = 0
for i in range( len( self.users_list ) ):
f_se.write( l_se[i * len( self.schedulers_list )][0] )
for s in range( len( self.schedulers_list ) ):
tmp = []
y = 0
for f in range( len( self.flow_list ) ):
tmp.append( l_se[y + x][1] )
y += len( self.schedulers_list ) * len( self.users_list )
x += 1
f_se.write( '\t' + str( round( numpy.sum( tmp ) / self.bw, self.n_dec ) ) )
f_se.write( '\n' )
f_se.close()
#------------------------------------------------------------------------------
def parse_setup_file( self, file_path ):
par_dict = {}
b = ' '
try:
f_config = open( file_path )
except IOError:
print '\n>> PARSE ERROR!! "' + file_path + '" is not a valid file path!'
exit ()
for line in f_config:
value = ''
# ignoring comments and blank lines
if not ( line.startswith( '#' ) or line.startswith( ' ' ) or len( line ) == 1 ):
if line.find( '#' ) > 0: tmp = line.split( '#' )[0]
else: tmp = line
tmp = tmp.rstrip().split( "=" )
name = tmp[0].rstrip()
if len( tmp ) > 2:
tmp.pop ( 0 )
for v in tmp:
value += b + v.lstrip()
par_dict[name] = value
else:
value = tmp[1].lstrip()
par_dict[name] = value
f_config.close ()
return par_dict
#------------------------------------------------------------------------------
def get_users_list( self ):
tmp = self.par_dict['USERS'].split( ',' )
users_list = []
for i in tmp:
if i.find( ':' ) > 0:
start = int( i.split( ':' )[0] )
step = int( i.split( ':' )[1] )
end = int( i.split( ':' )[2] )
n_steps = ( ( end - start ) / step ) + 1
for n in range( n_steps ):
users_list.append( ( n * step ) + start )
else:
users_list.append( int( i ) )
return users_list
#------------------------------------------------------------------------------
def counter ( self, string1, c1, string2, c2, string3, c3 ):
sys.stdout.write( '\r' + string1 + ' ' + str( c1 ) + ' ' + string2 + ' ' + str( c2 ) + ' ' + string3 + ' ' + str( c3 ) + ' ' )
sys.stdout.flush()
#------------------------------------------------------------------------------
def insert_header_scheduler( self, f, title ):
tmp = title
for i in self.schedulers_list:
tmp += '\t' + i
f.write( tmp + '\n' )
def kill_process( self ):
if self.proc.is_alive():
print 'alive'
self.proc.terminate()
#------------------------------------------------------------------------------
def plot( self ):
print '>> Ploting...'
#------------------------------------------------------------------------------
if __name__ == '__main__':
myHelper = LteSimHelper()
myHelper.run_simulations()
myHelper.compute_results()