x_values = []
chord_loads = []
vserver_loads = []
for f in glob.glob(folder):
if to_match in f:
loads = []
for line in fileinput.input(f+"/control.queries"):
if "loadFreqs" in line:
loads.append(line)
if len(loads) < 2:
print "coudln't find loads for " + f
continue
loads_d = []
for i in loads:
loads_d.append(get_num_dict(i))
chord_loads.append(get_50_percent(loads_d[0]))
vserver_loads.append(get_50_percent(loads_d[1]))
x_values.append(next(get_numbers(f)))
plt.figure().set_size_inches(6.5,5)
plt.xlabel("#Nodes")
plt.ylabel("% of nodes storing 50% of data")
from matplotlib.ticker import EngFormatter
formatter = EngFormatter(places=0)
plt.gca().xaxis.set_major_formatter(formatter)
plt.ylim(0,0.5)
x_values = []
chord_monitor = []
vserver_monitor = []
for f in glob.glob(folder):
if to_match in f:
monitor = []
for line in fileinput.input(f+"/control.queries"):
if "monitorFreqs" in line:
monitor.append(line)
if len(monitor) < 2:
print "coudln't find loads for " + f
continue
monitor_d = []
for i in monitor:
monitor_d.append(get_num_dict(i))
t_d = expand_num_dict(monitor_d[0])
chord_monitor.append(float(sum(t_d))/len(t_d))
t_d = expand_num_dict(monitor_d[1])
vserver_monitor.append(float(sum(t_d))/len(t_d))
x_values.append(next(get_numbers(f)))
plt.figure().set_size_inches(6.5,5)
plt.xlabel("#Nodes")
plt.ylabel("#Monitored Nodes")
from matplotlib.ticker import EngFormatter
formatter = EngFormatter(places=0)
plt.gca().xaxis.set_major_formatter(formatter)