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fig-10-h.py
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import sys
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import csv
plt.rcParams['axes.labelsize'] = 15 # xy-axis label size
plt.rcParams['xtick.labelsize'] = 13 # x-axis ticks size
plt.rcParams['ytick.labelsize'] = 13 # y-axis ticks size
# plt.rcParams['legend.fontsize'] = 12 # legend size
plt.rcParams['hatch.linewidth'] = 0.5
# plt.rcParams['xtick.major.pad'] ='-2'
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
lrotation = 0
# ----------------------------------------------- #
# ------------ Input parameters ----------------- #
# ----------------------------------------------- #
concurrency = "5K"
fileName_grpc = ['online_boutique/grpc-front-prod.cpu', 'online_boutique/grpc-recom.cpu', 'online_boutique/grpc-others.cpu']
# fileName_kn = ['kn/' + concurrency + '/kn-front-prod.cpu', 'kn/' + concurrency + '/kn-recom.cpu', 'kn/' + concurrency + '/kn-others.cpu', 'kn/' + concurrency + '/kn-gw.cpu', 'kn/' + concurrency + '/kn-queue.cpu']
# ----------------------------------------------- #
# ------------ Process gRPC data ---------------- #
# ----------------------------------------------- #
# --- CPU usage of gRPC front-prod
grpc_f_p_cpu_ts = []
tmp_cpu = [0]
with open(fileName_grpc[0]) as fp:
line = fp.readline()
line_list= line.split()
while line:
if len(line_list) == 0:
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Linux':
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Average:':
aggregated_cpu_1_second = sum(tmp_cpu)
grpc_f_p_cpu_ts.append(aggregated_cpu_1_second)
break
if line_list[2] == 'UID':
aggregated_cpu_1_second = sum(tmp_cpu)
grpc_f_p_cpu_ts.append(aggregated_cpu_1_second)
tmp_cpu = [0]
else:
tmp_cpu.append(float(line_list[8]))
line = fp.readline()
line_list= line.split()
# print(line_list)
grpc_f_p_cpu_ts = grpc_f_p_cpu_ts[1:]
# --- CPU usage of gRPC recomend
grpc_r_cpu_ts = []
tmp_cpu = [0]
with open(fileName_grpc[1]) as fp:
line = fp.readline()
line_list= line.split()
while line:
if len(line_list) == 0:
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Linux':
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Average:':
aggregated_cpu_1_second = sum(tmp_cpu)
grpc_r_cpu_ts.append(aggregated_cpu_1_second)
break
if line_list[2] == 'UID':
aggregated_cpu_1_second = sum(tmp_cpu)
grpc_r_cpu_ts.append(aggregated_cpu_1_second)
tmp_cpu = [0]
else:
tmp_cpu.append(float(line_list[8]))
line = fp.readline()
line_list= line.split()
# print(line_list)
grpc_r_cpu_ts = grpc_r_cpu_ts[1:]
# --- CPU usage of gRPC others
grpc_oth_cpu_ts = []
tmp_cpu = [0]
with open(fileName_grpc[2]) as fp:
line = fp.readline()
line_list= line.split()
while line:
if len(line_list) == 0:
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Linux':
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Average:':
aggregated_cpu_1_second = sum(tmp_cpu)
grpc_oth_cpu_ts.append(aggregated_cpu_1_second)
break
if line_list[2] == 'UID':
aggregated_cpu_1_second = sum(tmp_cpu)
grpc_oth_cpu_ts.append(aggregated_cpu_1_second)
tmp_cpu = [0]
else:
tmp_cpu.append(float(line_list[8]))
line = fp.readline()
line_list= line.split()
# print(line_list)
grpc_oth_cpu_ts = grpc_oth_cpu_ts[1:]
grpc_cpu_ts = [i + j + k for i, j, k in zip(grpc_oth_cpu_ts, grpc_r_cpu_ts, grpc_f_p_cpu_ts)]
'''
# ----------------------------------------------- #
# --------- Process Knative data ---------------- #
# ----------------------------------------------- #
# --- CPU usage of Knative front-prod
kn_f_p_cpu_ts = []
tmp_cpu = [0]
with open(fileName_kn[0]) as fp:
line = fp.readline()
line_list= line.split()
while line:
if len(line_list) == 0:
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Linux':
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Average:':
aggregated_cpu_1_second = sum(tmp_cpu)
kn_f_p_cpu_ts.append(aggregated_cpu_1_second)
break
if line_list[2] == 'UID':
aggregated_cpu_1_second = sum(tmp_cpu)
kn_f_p_cpu_ts.append(aggregated_cpu_1_second)
tmp_cpu = [0]
else:
tmp_cpu.append(float(line_list[8]))
line = fp.readline()
line_list= line.split()
# print(line_list)
kn_f_p_cpu_ts = kn_f_p_cpu_ts[1:]
# --- CPU usage of Knative recomend
kn_r_cpu_ts = []
tmp_cpu = [0]
with open(fileName_kn[1]) as fp:
line = fp.readline()
line_list= line.split()
while line:
if len(line_list) == 0:
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Linux':
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Average:':
aggregated_cpu_1_second = sum(tmp_cpu)
kn_r_cpu_ts.append(aggregated_cpu_1_second)
break
if line_list[2] == 'UID':
aggregated_cpu_1_second = sum(tmp_cpu)
kn_r_cpu_ts.append(aggregated_cpu_1_second)
tmp_cpu = [0]
else:
tmp_cpu.append(float(line_list[8]))
line = fp.readline()
line_list= line.split()
# print(line_list)
kn_r_cpu_ts = kn_r_cpu_ts[1:]
# --- CPU usage of Knative others functions
kn_oth_cpu_ts = []
tmp_cpu = [0]
with open(fileName_kn[2]) as fp:
line = fp.readline()
line_list= line.split()
while line:
if len(line_list) == 0:
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Linux':
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Average:':
aggregated_cpu_1_second = sum(tmp_cpu)
kn_oth_cpu_ts.append(aggregated_cpu_1_second)
break
if line_list[2] == 'UID':
aggregated_cpu_1_second = sum(tmp_cpu)
kn_oth_cpu_ts.append(aggregated_cpu_1_second)
tmp_cpu = [0]
else:
tmp_cpu.append(float(line_list[8]))
line = fp.readline()
line_list= line.split()
# print(line_list)
kn_oth_cpu_ts = kn_oth_cpu_ts[1:]
kn_fn_cpu_ts = [i + j + k for i, j, k in zip(kn_oth_cpu_ts, kn_r_cpu_ts, kn_f_p_cpu_ts)]
# --- CPU usage of Knative Ingress gateway
kn_gw_cpu_ts = []
tmp_cpu = [0]
with open(fileName_kn[3]) as fp:
line = fp.readline()
line_list= line.split()
while line:
if len(line_list) == 0:
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Linux':
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Average:':
aggregated_cpu_1_second = sum(tmp_cpu)
kn_gw_cpu_ts.append(aggregated_cpu_1_second)
break
if line_list[2] == 'UID':
aggregated_cpu_1_second = sum(tmp_cpu)
kn_gw_cpu_ts.append(aggregated_cpu_1_second)
tmp_cpu = [0]
else:
tmp_cpu.append(float(line_list[8]))
line = fp.readline()
line_list= line.split()
# print(line_list)
kn_gw_cpu_ts = kn_gw_cpu_ts[1:]
# --- CPU usage of Knative queue proxy
kn_queue_cpu_ts = []
tmp_cpu = [0]
with open(fileName_kn[4]) as fp:
line = fp.readline()
line_list= line.split()
while line:
if len(line_list) == 0:
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Linux':
line = fp.readline()
line_list= line.split()
continue
if line_list[0] == 'Average:':
aggregated_cpu_1_second = sum(tmp_cpu)
kn_queue_cpu_ts.append(aggregated_cpu_1_second)
break
if line_list[2] == 'UID':
aggregated_cpu_1_second = sum(tmp_cpu)
kn_queue_cpu_ts.append(aggregated_cpu_1_second)
tmp_cpu = [0]
else:
tmp_cpu.append(float(line_list[8]))
line = fp.readline()
line_list= line.split()
# print(line_list)
kn_queue_cpu_ts = kn_queue_cpu_ts[1:]
'''
# ----------------------------------------------- #
# -------------- FIGURE PLOT -------------------- #
# ----------------------------------------------- #
figsize = 5, 3
figure, ax = plt.subplots(figsize=figsize)
timestamps = [x for x in range(1, len(grpc_cpu_ts) + 1, 1)]
# print(len(timestamps))
p1 = plt.plot(timestamps, grpc_cpu_ts, marker = '', ms = 4, mew = 2, label = '', linewidth=2.5, linestyle="-", color='tab:blue')
# p2 = plt.plot(timestamps, kn_fn_cpu_ts, marker = '', ms = 4, mew = 2, label = '', linewidth=2.5, linestyle="-", color='limegreen')
# p3 = plt.plot(timestamps, kn_gw_cpu_ts, marker = '', ms = 4, mew = 2, label = '', linewidth=2.5, linestyle="-", color='tab:red')
# p4 = plt.plot(timestamps, kn_queue_cpu_ts, marker = '', ms = 4, mew = 2, label = '', linewidth=2.5, linestyle="-.", color='black')
# p4 = plt.plot(rest_4_p, timestamps, marker = '', ms = 4, mew = 2, label = '', linewidth=2.5, linestyle="-", color='#5AAC56')
# timestamps = [x for x in range(1, len(skmsg_gw_cpu_ts) + 1, 1)]
# p5 = plt.plot(timestamps, skmsg_gw_cpu_ts, marker = '', ms = 4, mew = 2, label = '', linewidth=2.5, linestyle="-.", color='tab:red')
plt.tick_params(grid_linewidth = 3, grid_linestyle = ':', pad=0)
figure.subplots_adjust(bottom=0.25, left=0.2)
# plt.xticks(ind, ('0', '10','50','100','200','400'))
plt.setp(ax.get_xticklabels(),
rotation=lrotation,
ha="center",
rotation_mode="anchor")
# plt.xlim((0, 15000))
# plt.xticks(np.arange(0, 15000.1, 3000))#, ['0', '5k', '10k', '15k', '20k'])
# plt.grid(True)
plt.grid(color = 'gray', linestyle = ':', linewidth = 1, axis = 'x')
plt.xlim((0, 160))
plt.ylim((0, 4000))
plt.yticks(np.arange(0, 4000.1, 1000), ['0', '1K', '2K', '3K', '4K'])
plt.ylabel('CPU usage (%)', labelpad = 0)
# plt.xticks(np.arange(85, 100.1, 5))
plt.xlabel('(h) timestamp (second)', labelpad=0)
prop = dict(size=11)
ax.legend([p1[0]],['gRPC fn'], loc = "upper left",
ncol = 1,
prop = prop,
borderaxespad = 0,
frameon = True,
columnspacing = 0.7,
labelspacing = 0.1,
fancybox = False,
edgecolor = 'black')
# plt.legend(p1[0],
# 'gRPC fn',
# loc = "upper left",
# ncol = 1,
# prop = prop,
# borderaxespad = 0,
# frameon = True,
# columnspacing = 0.7,
# labelspacing = 0.1,
# fancybox = False,
# edgecolor = 'black')
plt.tight_layout()
plt.savefig('fig-10-h.pdf' ,bbox_inches='tight', dpi=400, pad_inches=0.01)