Repository navigation
Expand file tree
/
Copy pathmain_single.py
More file actions
69 lines (56 loc) · 2.24 KB
/
Copy pathmain_single.py
File metadata and controls
69 lines (56 loc) · 2.24 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
import importlib
from sim.simulator import Simulator
from sim.statistics import Statistics
import numpy as np
import matplotlib.pyplot as plt
def simulate(config_module):
config=importlib.import_module(config_module)
print(config.NAME)
sim=Simulator(config.tasklist,config.combinations)
sim.run()
stats=Statistics(config.NAME,config.tasklist,config.combinations)
stats.compute()
stats.printstats()
print("================")
return sim, stats
def plot_load(statsdict):
cloud=plt.figure(1,figsize=(4,1))
axes=plt.subplot(111)
N=3
D1=[]
E1=[]
E2=[]
C1=[]
C2=[]
C3=[]
for module,stats in statsdict.items():
D1.append(stats.serverdict["Device"]/1000)
E1.append(stats.serverdict["Edge1"]/1000)
E2.append(stats.serverdict["Edge2"]/1000)
C1.append(stats.serverdict["Cloud1"]/1000)
C2.append(stats.serverdict["Cloud2"]/1000)
C3.append(stats.serverdict["Cloud3"]/1000)
ind = np.arange(N) # the x locations for the groups
width = 0.75 # the width of the bars: can also be len(x) sequence
p1 = axes.barh(ind, D1, width,color='indianred')
p2 = axes.barh(ind, E1, width, left=D1,color='lightgreen')
p3 = axes.barh(ind, E2, width, left=[D1[i]+E1[i] for i in range(0,N)],color='mediumseagreen')
p4 = axes.barh(ind, C1, width, left=[D1[i]+E1[i]+E2[i] for i in range(0,N)],color='dodgerblue')
p5 = axes.barh(ind, C2, width, left=[D1[i]+E1[i]+E2[i]+C1[i] for i in range(0,N)],color='skyblue')
p6 = axes.barh(ind, C3, width, left=[D1[i]+E1[i]+E2[i]+C1[i]+C2[i] for i in range(0,N)],color='turquoise')
axes.legend((p1[0], p2[0],p3[0],p4[0], p5[0],p6[0]), ('D1', 'E1','E2','C1','C2','C3'),bbox_to_anchor=(1.1, 1.2))
axes.set_xlabel('Nr of tasks')
axes.set_yticks(ind)
axes.set_yticklabels(['Fixed','Random','Random\n70% WiFi'])
cloud.savefig("figs/random.pdf",format='pdf',bbox_inches = 'tight')
def main():
simdict={}
statsdict={}
importname="configs.config_single."
names=["config_single_wifi","config_single_lte"]
for name in names:
sim,stats=simulate(importname+name)
simdict[importname+name]=sim
statsdict[importname+name]=stats
if __name__== "__main__":
main()