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cebinae.py
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cebinae.py
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import argparse
import json
import multiprocessing
import os
import re
import signal
import subprocess
import sys
import time
def timeit(func):
def wrap_func(*args, **kw):
t1 = time.time()
result = func(*args, **kw)
t2 = time.time()
print("{0}: {1:.2f}s".format(func.__name__, (t2-t1)))
return result
return wrap_func
def print_cmd(cmd):
print("$ {}".format(cmd))
@timeit
def ns_validate(profile):
cwd = os.getcwd()
print("cwd: {}".format(cwd))
os.chdir(cwd+"/ns")
configure_cmd = "./waf configure --enable-examples --enable-tests "
if profile == "optimized":
configure_cmd += "--build-profile=optimized --out=build/optimized"
elif profile == "debug":
configure_cmd += "--build-profile=debug --out=build/debug"
elif profile == "default":
configure_cmd += "--out=build/"
else:
print("ERR")
exit()
cmds = [
"./waf clean",
configure_cmd,
"./waf build",
"./test.py"
]
for cmd in cmds:
print_cmd(cmd)
subprocess.call(cmd.split())
@timeit
def ns_configure(profile):
cwd = os.getcwd()
print("cwd: {}".format(cwd))
os.chdir(cwd+"/ns")
configure_cmd = "./waf configure --enable-examples --enable-tests "
if profile == "optimized":
configure_cmd += "--build-profile=optimized --out=build/optimized"
elif profile == "debug":
configure_cmd += "--build-profile=debug --out=build/debug"
elif profile == "default":
configure_cmd += "--out=build/"
else:
print("ERR")
exit()
cmds = [
"./waf clean",
configure_cmd,
]
for cmd in cmds:
print_cmd(cmd)
subprocess.call(cmd.split())
@timeit
def ns_build():
cwd = os.getcwd()
print("cwd: {}".format(cwd))
os.chdir(cwd+"/ns")
cmd = "./waf build"
print_cmd(cmd)
subprocess.call(cmd.split())
@timeit
def ns_run_instance(config_path, enb_gdb):
cwd = os.getcwd()
if not os.path.isabs(config_path):
config_path = (cwd + "/ns/configs/" + config_path)
print("config_path: {}".format(config_path))
with open(config_path, 'r') as f:
config=json.loads(f.read())
# --cwd changes the working directory (for output files etc) with default being the top of the ns-3 tree
cmd = "./waf --cwd=\""+cwd+"/ns/"+"\" --run \""+config["instance_type"]+" --config_path="+config_path+" "
if len(config["batch_params"]) != 0 or config["batch_size"] > 1:
print("ERR: batch_params: {0}, batch_size: {1}".format(config["batch_params"], config["batch_size"]))
exit()
params = ""
for param in config.keys():
if param != "instance_type" and param != "batch_size" and param != "batch_params":
params += ("--"+param+"="+str(config[param])+" ")
params = params[0:-1]
cmd += (params+"\"")
if enb_gdb:
cmd += " --gdb"
os.chdir(cwd+"/ns")
waf_cmd_wrapper(cmd)
os.chdir(cwd)
def waf_cmd_wrapper(cmd):
print("PID {0}: {1}".format(os.getppid(), cmd))
os.system(cmd)
# Perhaps use MPI
def ns_run_batch(config_path, parallel):
t1 = time.time()
print("=== ns_run_batch({0}), PID {1} ===".format(config_path, os.getppid()))
cwd = os.getcwd()
if not os.path.isabs(config_path):
config_path = (cwd + "/ns/configs/" + config_path)
print("config_path: {}".format(config_path))
if not os.path.isfile(config_path):
print("ERR: not file!")
exit()
with open(config_path, 'r') as f:
config=json.loads(f.read())
cmds = []
cmd_base = "./waf --cwd=\""+cwd+"/ns/"+"\" --run \""+config["instance_type"]+" --config_path="+config_path+" "
if len(config["batch_params"]) == 0 or config["batch_size"] == 1:
print("ERR: batch_params: {0}, batch_size: {1}".format(config["batch_params"], config["batch_size"]))
exit()
for param in config["batch_params"]:
if len(config[param]) != config["batch_size"]:
print("ERR: {0} != {1}")
exit()
for instance_id in range(config["batch_size"]):
params = ""
for param in config.keys():
if param != "instance_type" and param != "batch_params" and param != "batch_size":
if param in config["batch_params"]:
params += ("--"+param+"="+str(config[param][instance_id])+" ")
else:
params += ("--"+param+"="+str(config[param])+" ")
params = params[0:-1]
cmd = (cmd_base+params+"\"")
cmds.append(cmd)
os.chdir(cwd+"/ns")
if parallel:
processes = []
processes_target = []
for cmd in cmds:
p = multiprocessing.Process(target=waf_cmd_wrapper, args=(cmd,))
p.start()
processes.append(p)
for p in processes:
p.join()
else:
for cmd in cmds:
print("======{}======".format(cmd))
if os.system(cmd) != 0:
exit()
os.chdir(cwd)
t2 = time.time()
print("ns_run_batch: {0:.2f}s".format(t2-t1))
@timeit
def ns_run_batches(config_path, parallel):
cwd = os.getcwd()
if not os.path.isabs(config_path):
config_path = (cwd + "/ns/configs/" + config_path)
print("config_path: {}".format(config_path))
if not os.path.isdir(config_path):
print("ERR: not dir!")
exit()
json_files = sorted([fn for fn in os.listdir(config_path) if fn.endswith('.json')])
print("=== List of config files: {} ===".format(json_files))
if parallel:
print("=== Parallel branch ===")
print("PPID: {0}, PGID: {1}".format(os.getppid(), os.getpgid(os.getpid())))
pool = multiprocessing.Pool(int(os.cpu_count()/2)) # Default to os.cpu_count() logical cores
try:
processes = []
for json_file in json_files:
processes.append(pool.apply_async(ns_run_batch, args=(config_path+"/"+json_file,False,)))
results = [p.get() for p in processes]
pool.close()
pool.join()
except KeyboardInterrupt:
print("Captured KeyboardInterrupt")
pool.terminate()
exit(1)
else:
for json_file in json_files:
ns_run_batch(config_path+"/"+json_file)
@timeit
def ns_run_instances(config_path, parallel):
cwd = os.getcwd()
if not os.path.isabs(config_path):
config_path = (cwd + "/ns/configs/" + config_path)
print("config_path: {}".format(config_path))
if not os.path.isdir(config_path):
print("ERR: not dir!")
exit()
json_files = sorted([fn for fn in os.listdir(config_path) if fn.endswith('.json')])
print("=== List of config files: {} ===".format(json_files))
cmds = []
for json_file in json_files:
with open(config_path+"/"+json_file, 'r') as f:
config=json.loads(f.read())
cmd_base = "./waf --cwd=\""+cwd+"/ns/"+"\" --run \""+config["instance_type"]+" --config_path="+config_path+"/"+json_file+" "
if len(config["batch_params"]) == 0 or config["batch_size"] == 1:
params = ""
for param in config.keys():
if param != "instance_type" and param != "batch_size" and param != "batch_params":
params += ("--"+param+"="+str(config[param])+" ")
params = params[0:-1]
cmd = (bmd_base+params+"\"")
cmds.append(cmd)
else:
for param in config["batch_params"]:
if len(config[param]) != config["batch_size"]:
print("ERR: {0} != {1}")
exit()
for instance_id in range(config["batch_size"]):
params = ""
for param in config.keys():
if param != "instance_type" and param != "batch_params" and param != "batch_size":
if param in config["batch_params"]:
params += ("--"+param+"="+str(config[param][instance_id])+" ")
else:
params += ("--"+param+"="+str(config[param])+" ")
params = params[0:-1]
cmd = (cmd_base+params+"\"")
cmds.append(cmd)
os.chdir(cwd+"/ns")
if parallel:
pool = multiprocessing.Pool(int(os.cpu_count()/2))
pool.map(waf_cmd_wrapper, cmds)
print("=== Unblocked from pool map ===")
else:
for cmd in cmds:
if os.system(cmd) != 0:
exit()
@timeit
def ns_clear():
cwd = os.getcwd()
tmp_dirs = [
"/ns/tmp_index"
]
for tmp_dir in tmp_dirs:
cmd = ("rm -rf "+cwd+tmp_dir)
print_cmd(cmd)
subprocess.call(cmd.split())
@timeit
def ns_kill():
cmd = "sudo killall dumbbell_long"
subprocess.call(cmd.split())
@timeit
def ns_prerequisite():
# Install packages on a clean Ubuntu 18.04 LTS machine for NS-3 dependencies: https://www.nsnam.org/wiki/Installation
install_cmds = [
"sudo apt-get update",
"sudo apt install python python3 g++ cmake python3-dev pkg-config sqlite3 python3-setuptools git qt5-default gdb valgrind",
"sudo apt install gir1.2-goocanvas-2.0 python3-gi python3-gi-cairo python3-pygraphviz gir1.2-gtk-3.0 ipython3",
"sudo apt install openmpi-bin openmpi-common openmpi-doc libopenmpi-dev autoconf cvs bzr unrar",
"sudo apt install uncrustify doxygen graphviz imagemagick texlive texlive-extra-utils texlive-latex-extra texlive-font-utils dvipng latexmk",
"sudo apt install python3-sphinx dia gsl-bin libgsl-dev libgslcblas0 sqlite sqlite3 libsqlite3-dev tcpdump",
"sudo apt install libxml2 libxml2-dev cmake libc6-dev libc6-dev-i386 libclang-dev llvm-dev automake python3-pip",
"python3 -m pip install --user cxxfilt",
"sudo apt install libgtk-3-dev libxml2 libxml2-dev libboost-all-dev"
]
for cmd in install_cmds:
print_cmd(cmd)
subprocess.call(cmd.split())
@timeit
def parse_bigtbl(data_path):
cwd = os.getcwd()
if not os.path.isabs(data_path):
data_path = (cwd+"/"+data_path)
print("data_path pointing to the root dir of the bigtbl row: {0}".format(data_path))
if not os.path.isdir(data_path):
print("ERR: not dir!")
exit()
batch_config = None
with open(data_path+"/fifo/config.json", 'r') as f:
batch_config=json.loads(f.read())
bottleneck_bw = batch_config["bottleneck_bw"]
num_cca = batch_config["num_cca"]
buf_size = batch_config["switch_total_bufsize"]
ccas = []
rtts = []
num_ccas = []
re_num_unit = re.compile("([0-9\.]+)([a-zA-Z]+)")
m = re_num_unit.match(batch_config["bottleneck_delay"])
rtt_unit = m.group(2)
bottleneck_delay = float(m.group(1))
for i in range(num_cca):
ccas.append(batch_config["transport_prot"+str(i)])
num_ccas.append(batch_config["num_cca"+str(i)])
m = re_num_unit.match(batch_config["leaf_delay"+str(i)])
if m.group(2) != rtt_unit:
print("ERR: unit mismatch")
exit()
rtt = 2*(bottleneck_delay+2*float(m.group(1)))
rtts.append(str(rtt)+rtt_unit)
tpt_fifo = None
tpt_fq = None
tpt_cebinae = None
gpt_fifo = None
gpt_fq = None
gpt_cebinae = None
tpt_jfi_fifo = None
tpt_jfi_fq = None
tpt_jfi_cebinae = None
gpt_jfi_fifo = None
gpt_jfi_fq = None
gpt_jfi_cebinae = None
with open(data_path+"/fifo/digest", 'r') as f:
lines = f.readlines()
for line in lines:
if line.startswith("Avg. Throughput [bps]"):
line = line.split(":")
tpt_fifo = line[1].strip("\n ")
elif line.startswith("Avg. Goodput [bps]"):
line = line.split(":")
gpt_fifo = line[1].strip("\n ")
elif line.startswith("avg_jfi_bottleneck [computed]:"):
line = line.split(":")
tpt_jfi_fifo = line[1].strip("\n ")
elif line.startswith("avg_jfi_app [computed]:"):
line = line.split(":")
gpt_jfi_fifo = line[1].strip("\n ")
with open(data_path+"/fq/digest", 'r') as f:
lines = f.readlines()
for line in lines:
if line.startswith("Avg. Throughput [bps]"):
line = line.split(":")
tpt_fq = line[1].strip("\n ")
elif line.startswith("Avg. Goodput [bps]"):
line = line.split(":")
gpt_fq = line[1].strip("\n ")
elif line.startswith("avg_jfi_bottleneck [computed]:"):
line = line.split(":")
tpt_jfi_fq = line[1].strip("\n ")
elif line.startswith("avg_jfi_app [computed]:"):
line = line.split(":")
gpt_jfi_fq = line[1].strip("\n ")
with open(data_path+"/cebinae/digest", 'r') as f:
lines = f.readlines()
for line in lines:
if line.startswith("Avg. Throughput [bps]"):
line = line.split(":")
tpt_cebinae = line[1].strip("\n ")
elif line.startswith("Avg. Goodput [bps]"):
line = line.split(":")
gpt_cebinae = line[1].strip("\n ")
elif line.startswith("avg_jfi_bottleneck [computed]:"):
line = line.split(":")
tpt_jfi_cebinae = line[1].strip("\n ")
elif line.startswith("avg_jfi_app [computed]:"):
line = line.split(":")
gpt_jfi_cebinae = line[1].strip("\n ")
print_str = '''Bottleneck BW: {0}
Buffer size: {16}
RTTs: {1}
CCAs: {2}
# flows per group: {15}
--- Throughput ---
FIFO: {3}
FQ: {4}
Cebinae: {5}
--- Goodput ---
FIFO: {6}
FQ: {7}
Cebinae: {8}
--- JFI (tpt) ---
FIFO: {9}
FQ: {10}
Cebinae: {11}
--- JFI (gpt) ---
FIFO: {12}
FQ: {13}
Cebinae: {14}
'''.format(bottleneck_bw,
rtts,
ccas,
tpt_fifo,
tpt_fq,
tpt_cebinae,
gpt_fifo,
gpt_fq,
gpt_cebinae,
tpt_jfi_fifo,
tpt_jfi_fq,
tpt_jfi_cebinae,
gpt_jfi_fifo,
gpt_jfi_fq,
gpt_jfi_cebinae,
num_ccas,
buf_size
)
print(print_str)
@timeit
def plot_fig1(data_dir):
cwd = os.getcwd()
if not os.path.isabs(data_dir):
data_dir = (cwd+"/"+data_dir)
print("data_dir: {}".format(data_dir))
if not os.path.isdir(data_dir):
print("ERR: not dir!")
exit()
gp_str = '''
reset
set term post eps enhanced dashed color font 'Helvetica,22'
set output "figure1.eps"
set size 1,0.618
set border 3
set tics nomirror
set nologscale x
set key reverse Left
set key at graph 0.675,1.0
set key font ",16"
set key maxrows 2
set key samplen 2
set key width -5
set xlabel "Time [s]"
set ylabel 'Goodput [MBps]'
set xrange [1:60]
set xtics 0,5,60
myred = '#A90533'
myblue = '#004785'
mygrey = 'grey70'
plot "fifo/app_tpt_1000000.dat" using ($1/1000000) title "FIFO (RTT=20.4ms)" with lines lw 5 dt 3 lc rgb myred, \\
"fifo/app_tpt_1000000.dat" using ($2/1000000) title "FIFO (RTT=40ms)" with lines lw 5 dt 3 lc rgb myblue, \\
"cebinae/app_tpt_1000000.dat" using ($1/1000000) title "Cebinae (RTT=20.4ms)" with lines lw 5 dt 1 lc rgb myred, \\
"cebinae/app_tpt_1000000.dat" using ($2/1000000) title "Cebinae (RTT=40ms)" with lines lw 5 dt 1 lc rgb myblue,
'''
with open(data_dir+"/plot.gp", "w") as gp_file:
gp_file.write(gp_str)
os.chdir(data_dir)
cmd = "gnuplot plot.gp"
print_cmd(cmd)
subprocess.call(cmd.split())
@timeit
def plot_fig1_region(data_dir):
cwd = os.getcwd()
if not os.path.isabs(data_dir):
data_dir = (cwd+"/"+data_dir)
print("data_dir: {}".format(data_dir))
if not os.path.isdir(data_dir):
print("ERR: not dir!")
exit()
batch_config = None
with open(data_dir+"/fifo/config.json", "r") as f:
batch_config=json.loads(f.read())
re_num_unit = re.compile("([0-9\.]+)([a-zA-Z]+)")
m = re_num_unit.match(batch_config["dt"])
unit = m.group(2)
dt = float(m.group(1))
p = float(batch_config['p'])
if unit == "ms":
dt = dt*1000000
elif unit == "us":
dt = dt*1000
period = dt*p
print("dT: {0}, P: {1}, period: {2}".format(dt, p, period))
regions = ""
with open(data_dir+"/cebinae/cebinae_debug", "r") as f:
lines = f.readlines()
num_saturated = 0
num_non_saturated = 0
for line in lines:
if ",saturated" in line:
num_saturated += 1
# [95160369153,saturated]
re_ts_state = re.compile("\[([0-9\.]+),saturated.*")
m = re_ts_state.match(line)
# Converted to s
ts_ns = float(m.group(1))/1000000000
ts_end_ns = ts_ns+period/1000000000
# print(ts_ns)
# top_set:{}
re_top_set = re.compile(".*top_set:{([0-9]+).*")
m = re_top_set.match(line)
flow_index = int(m.group(1))
# print(flow_index)
# set style rect fc lt -1 fs solid 0.15 noborder
if flow_index == 0:
regions += "set obj rect from {0}, graph 0 to {1}, graph 1 fc rgb {2} lw 5 fillstyle solid 1.0 noborder\n".format(
str(ts_ns),
str(ts_end_ns),
"small_rtt_region"
)
elif flow_index == 1:
regions += "set obj rect from {0}, graph 0 to {1}, graph 1 fc rgb {2} lw 5 fs solid 1.0 noborder\n".format(
str(ts_ns),
str(ts_end_ns),
"large_rtt_region"
)
elif ",non-saturated" in line:
num_non_saturated += 1
re_ts_state = re.compile("\[([0-9\.]+),non-saturated.*")
m = re_ts_state.match(line)
# Converted to s
ts_ns = float(m.group(1))/1000000000
ts_end_ns = ts_ns+period/1000000000
regions += "set obj rect from {0}, graph 0 to {1}, graph 1 fc rgb {2} lw 5 fs solid 1.0 noborder\n".format(
str(ts_ns),
str(ts_end_ns),
"unsaturated_region"
)
print("num_saturated: {0}, num_non_saturated: {1}".format(num_saturated, num_non_saturated))
gp_str = '''
reset
set term post eps enhanced dashed color font 'Helvetica,22'
set output "graph.eps"
set size 1,0.618
set border 3
set tics nomirror
set nologscale x
set key reverse Left
set key at graph 1.0,1.0
set key font ",14"
set key maxrows 2
set key samplen 1
# set key width -4
set key opaque
set xlabel "Time [s]"
set ylabel 'Goodput [MBps]'
set xrange [1:51]
set xtics 0,5,101
myred = '#A90533'
myblue = '#004785'
mygrey = '#808080'
# https://mdigi.tools/color-shades/#fdb5c9
#unsaturated_region = '#d9d9d9'
small_rtt_region = '#fdb5c9' # red
large_rtt_region = '#b3dbff' # blue
unsaturated_region = '#f2f2f2'
#small_rtt_region = '#fee6ed'
#large_rtt_region = '#e5f3ff'
{}
plot "fifo/app_tpt_1000000.dat" using ($1/1000000) title "FIFO (RTT = 20.4 ms)" with lines lw 5 dt 3 lc rgb myred, \\
"fifo/app_tpt_1000000.dat" using ($2/1000000) title "FIFO (RTT = 40 ms)" with lines lw 5 dt 3 lc rgb myblue, \\
"cebinae/app_tpt_1000000.dat" using ($1/1000000) title "Cebinae (RTT = 20.4 ms)" with lines lw 5 dt 1 lc rgb myred, \\
"cebinae/app_tpt_1000000.dat" using ($2/1000000) title "Cebinae (RTT = 40 ms)" with lines lw 5 dt 1 lc rgb myblue,
'''.format(regions)
with open(data_dir+"/plot.gp", "w") as gp_file:
gp_file.write(gp_str)
os.chdir(data_dir)
cmd = "gnuplot plot.gp"
print_cmd(cmd)
subprocess.call(cmd.split())
@timeit
def plot_jfi(data_dir):
cwd = os.getcwd()
if not os.path.isabs(data_dir):
data_dir = (cwd+"/"+data_dir)
print("data_dir: {}".format(data_dir))
if not os.path.isdir(data_dir):
print("ERR: not dir!")
exit()
gp_str = '''
reset
set term post eps enhanced dashed color font 'Helvetica,22'
set output "graph.eps"
set size 1,0.618
set border 3
set tics nomirror
set nologscale x
set key reverse Left
set key at graph 1.0,1.0
set key font ",16"
set key maxrows 1
set key samplen 2
# set key width -1
set xlabel "Time [s]"
set ylabel 'JFI'
set xrange [1:51]
set xtics 0,5,101
set grid
myred = '#A90533'
myblue = '#004785'
mygrey = 'grey70'
plot "fifo/jfi_1000000.dat" using 2 title "FIFO" with lines lw 6 dt 3 lc rgb myblue, \\
"fq/jfi_1000000.dat" using 2 title "FQ" with lines lw 6 dt 1 lc rgb mygrey,\\
"cebinae/jfi_1000000.dat" using 2 title "Cebinae" with lines lw 6 dt 1 lc rgb myred,
'''
with open(data_dir+"/plot.gp", "w") as gp_file:
gp_file.write(gp_str)
os.chdir(data_dir)
cmd = "gnuplot plot.gp"
print_cmd(cmd)
subprocess.call(cmd.split())
@timeit
def plot_fig7(data_dir):
cwd = os.getcwd()
if not os.path.isabs(data_dir):
data_dir = (cwd+"/"+data_dir)
print("data_dir: {}".format(data_dir))
if not os.path.isdir(data_dir):
print("ERR: not dir!")
exit()
gpt_str = ""
# Parse gpt data
with open(data_dir+"/fifo/digest", "r") as f:
lines = f.readlines()
for i, line in enumerate(lines):
if "=== avg_tpt_app[*] ===" in line:
i += 1
while "Avg. Goodput [bps]" not in lines[i]:
line = lines[i].strip()
gpt_str += (line+"\n")
i += 1
break
gpt_str += "\n\n"
with open(data_dir+"/cebinae/digest", "r") as f:
lines = f.readlines()
for i, line in enumerate(lines):
if "=== avg_tpt_app[*] ===" in line:
i += 1
while "Avg. Goodput [bps]" not in lines[i]:
line = lines[i].strip()
gpt_str += (line+"\n")
i += 1
break
with open(data_dir+"/gpt.dat", "w") as f:
f.write(gpt_str)
gp_str = '''
reset
set term post eps enhanced dashed color font 'Helvetica,22'
set output "fig7.eps"
myred = '#A90533'
myblue = '#004785'
set size 1,0.618
set style fill pattern
set style histogram clustered
set xlabel "Flow index"
set ylabel "Goodput [Mbps]"
set logscale y
set key at graph 0.8,0.95
set key maxrows 1
set key samplen 3
set key width -5
set boxwidth 1.0
set tics out nomirror
set grid ytics
plot "gpt.dat" i 0 u ($2/1000000):xtic(1) t "FIFO+TailDrop" w histograms lc rgb myblue fs pattern 4,\\
"" i 1 u ($2/1000000):xtic(1) t "Cebinae" w histograms lc rgb myred fs pattern 2
'''
with open(data_dir+"/plot.gp", "w") as gp_file:
gp_file.write(gp_str)
os.chdir(data_dir)
cmd = "gnuplot plot.gp"
print_cmd(cmd)
subprocess.call(cmd.split())
@timeit
def plot_pl2(data_dir):
cwd = os.getcwd()
if not os.path.isabs(data_dir):
data_dir = (cwd+"/"+data_dir)
print("data_dir: {}".format(data_dir))
if not os.path.isdir(data_dir):
print("ERR: not dir!")
exit()
batch_config = None
with open(data_dir+"/fifo/config.json", "r") as f:
batch_config=json.loads(f.read())
gpts_str = ""
num_cca = int(batch_config['num_cca'])
if num_cca != 3:
print("ERR: Presume 3 ccas for simplicity")
exit()
num_cca0 = int(batch_config['num_cca0'])
num_cca1 = int(batch_config['num_cca1'])
num_cca2 = int(batch_config['num_cca2'])
num_flows = num_cca0+num_cca1+num_cca2
re_num_unit = re.compile("([0-9\.]+)([a-zA-Z]+)")
m = re_num_unit.match(batch_config["bottleneck_bw"])
bw_unit = m.group(2)
bottleneck_bw = float(m.group(1))
max_conn = 0
max_conn_sum = 0
ideal_cca0_bw = 0
ideal_cca1_bw = 0
ideal_cca2_bw = 0
if num_cca1 > num_cca2:
max_conn = num_cca1
max_conn_sum = max_conn + num_cca0
ideal_cca0_bw = 1.0*bottleneck_bw/max_conn_sum
ideal_cca1_bw = 1.0*bottleneck_bw/max_conn_sum
ideal_cca2_bw = (bottleneck_bw-num_cca0*ideal_cca0_bw)/num_cca2
else:
max_conn = num_cca2
max_conn_sum = max_conn + num_cca0
ideal_cca0_bw = 1.0*bottleneck_bw/max_conn_sum
ideal_cca2_bw = 1.0*bottleneck_bw/max_conn_sum
ideal_cca1_bw = (bottleneck_bw-num_cca0*ideal_cca0_bw)/num_cca1
for i in range(num_flows):
if i < num_cca0:
gpts_str += (str(i)+" "+str(ideal_cca0_bw)+"\n")
elif i < num_cca0+num_cca1:
gpts_str += (str(i)+" "+str(ideal_cca1_bw)+"\n")
elif i < num_cca0+num_cca1+num_cca2:
gpts_str += (str(i)+" "+str(ideal_cca2_bw)+"\n")
gpts_str += "\n\n"
fifo_gpts = []
with open(data_dir+"/fifo/digest", "r") as f:
lines = f.readlines()
for i, line in enumerate(lines):
if "=== avg_tpt_app[*] ===" in line:
i += 1
while "Avg. Goodput [bps]" not in lines[i]:
index = lines[i].split()[0].strip()
gpt = float(lines[i].split()[1].strip())
gpt = gpt/1000000 # Assume Mbps
gpts_str += (index+" "+str(gpt)+"\n")
fifo_gpts.append(gpt)
i += 1
break
if len(fifo_gpts) != num_flows:
print("len(fifo_gpts) != num_flows")
exit()
fifo_gpts_norm = []
for i in range(num_flows):
if i < num_cca0:
fifo_gpts_norm.append(fifo_gpts[i]/ideal_cca0_bw)
elif i < num_cca0+num_cca1:
fifo_gpts_norm.append(fifo_gpts[i]/ideal_cca1_bw)
elif i < num_cca0+num_cca1+num_cca2:
fifo_gpts_norm.append(fifo_gpts[i]/ideal_cca2_bw)
# print(fifo_gpts)
# print(fifo_gpts_norm)
square_of_sums = 0
sum_of_squares = 0
for i in range(num_flows):
square_of_sums += fifo_gpts_norm[i]
sum_of_squares += (fifo_gpts_norm[i]**2)
square_of_sums = square_of_sums**2
fifo_jfi = square_of_sums/num_flows/sum_of_squares
gpts_str += "\n\n"
fq_gpts = []
with open(data_dir+"/fq/digest", "r") as f:
lines = f.readlines()
for i, line in enumerate(lines):
if "=== avg_tpt_app[*] ===" in line:
i += 1
while "Avg. Goodput [bps]" not in lines[i]:
gpt = float(lines[i].split()[1].strip())
gpt = gpt/1000000 # Assume Mbps
fq_gpts.append(gpt)
i += 1
break
if len(fq_gpts) != num_flows:
print("len(fq_gpts) != num_flows")
exit()
fq_gpts_norm = []
for i in range(num_flows):
if i < num_cca0:
fq_gpts_norm.append(fq_gpts[i]/ideal_cca0_bw)
elif i < num_cca0+num_cca1:
fq_gpts_norm.append(fq_gpts[i]/ideal_cca1_bw)
elif i < num_cca0+num_cca1+num_cca2:
fq_gpts_norm.append(fq_gpts[i]/ideal_cca2_bw)
# print(fifo_gpts)
# print(fifo_gpts_norm)
square_of_sums = 0
sum_of_squares = 0
for i in range(num_flows):
square_of_sums += fq_gpts_norm[i]
sum_of_squares += (fq_gpts_norm[i]**2)
square_of_sums = square_of_sums**2
fq_jfi = square_of_sums/num_flows/sum_of_squares
cb_gpts = []
with open(data_dir+"/cebinae/digest", "r") as f:
lines = f.readlines()
for i, line in enumerate(lines):
if "=== avg_tpt_app[*] ===" in line:
i += 1
while "Avg. Goodput [bps]" not in lines[i]:
index = lines[i].split()[0].strip()
gpt = float(lines[i].split()[1].strip())
gpt = gpt/1000000 # Assume Mbps
gpts_str += (index+" "+str(gpt)+"\n")
cb_gpts.append(gpt)
i += 1
break
if len(cb_gpts) != num_flows:
print("len(cb_gpts) != num_flows")
exit()
cb_gpts_norm = []
for i in range(num_flows):
if i < num_cca0:
cb_gpts_norm.append(cb_gpts[i]/ideal_cca0_bw)
elif i < num_cca0+num_cca1:
cb_gpts_norm.append(cb_gpts[i]/ideal_cca1_bw)
elif i < num_cca0+num_cca1+num_cca2:
cb_gpts_norm.append(cb_gpts[i]/ideal_cca2_bw)
# print(fifo_gpts)
# print(fifo_gpts_norm)
square_of_sums = 0
sum_of_squares = 0
for i in range(num_flows):
square_of_sums += cb_gpts_norm[i]
sum_of_squares += (cb_gpts_norm[i]**2)
square_of_sums = square_of_sums**2
cb_jfi = square_of_sums/num_flows/sum_of_squares
print_str = '''
num_cca: {0}
num_cca0: {1}
num_cca1: {2}
num_cca2: {3}
max_conn: {4}
max_conn_sum: {5}
bottleneck_bw: {6} {7}
ideal_cca0_bw: {8}
ideal_cca1_bw: {9}
ideal_cca2_bw: {10}
--- fifo_jfi: {11} ---
--- fq_jfi: {12} ---
--- cebinae_jfi: {13} ---
'''.format(num_cca, num_cca0, num_cca1, num_cca2, max_conn, max_conn_sum, bottleneck_bw, bw_unit,
ideal_cca0_bw, ideal_cca1_bw, ideal_cca2_bw,
fifo_jfi, fq_jfi, cb_jfi)
print(print_str)
with open(data_dir+"/gpts.dat", "w") as f:
f.write(gpts_str)
gp_str = '''
reset
set term post eps enhanced dashed color font 'Helvetica,22'
set output "graph.eps"
myred = '#A90533'
myblue = '#004785'
mygrey = 'grey70'
mygreen = '#34a905'
set size 1,0.618
set style fill pattern
set style histogram clustered
set xlabel "Flow index"
set ylabel "Goodput [Mbps]" offset 1
# set logscale y 10
set key at graph 0.95,0.95
set key maxrows 1
set key samplen 3
set tics out nomirror
set grid ytics
#unset xtics
plot "gpts.dat" i 0 u ($2):xtic(1) t "Ideal" w histograms lw 2 lc rgb mygreen fs pattern 4,\\
"" i 1 u ($2):xtic(1) t "FIFO" w histograms lw 2 lc rgb myblue fs pattern 5,\\
"" i 2 u ($2):xtic(1) t "Cebinae" w histograms lw 2 lc rgb myred fs pattern 2,\\
'''
with open(data_dir+"/plot.gp", "w") as gp_file:
gp_file.write(gp_str)
cmds = [
"cat "+data_dir+"/gpts.dat"
]
for cmd in cmds:
subprocess.call(cmd.split())
os.chdir(data_dir)
cmd = "gnuplot plot.gp"
subprocess.call(cmd.split())
@timeit
def plot_pl3(data_dir):
cwd = os.getcwd()
if not os.path.isabs(data_dir):
data_dir = (cwd+"/"+data_dir)
print("data_dir: {}".format(data_dir))
if not os.path.isdir(data_dir):
print("ERR: not dir!")
exit()
batch_config = None
with open(data_dir+"/fifo/config.json", "r") as f:
batch_config=json.loads(f.read())
gpts_str = ""
num_cca = int(batch_config['num_cca'])
if num_cca != 4:
print("ERR: Presume 4 ccas")
exit()
num_cca0 = int(batch_config['num_cca0'])
num_cca1 = int(batch_config['num_cca1'])
num_cca2 = int(batch_config['num_cca2'])
num_cca3 = int(batch_config['num_cca3'])
num_flows = num_cca0+num_cca1+num_cca2+num_cca3
re_num_unit = re.compile("([0-9\.]+)([a-zA-Z]+)")
m = re_num_unit.match(batch_config["bottleneck_bw"])
bw_unit = m.group(2)
bottleneck_bw = float(m.group(1))