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import matplotlib.pyplot as plt
from matplotlib.legend_handler import HandlerTuple
from memcached_conn_scan import collect_data
experiments_t1 = [
"memcached_conn_scan.5.15.79-peter.t1", # vanilla
"memcached_conn_scan.5.15.79-peter.kernel_polling.t1", # kernel polling
"memcached_conn_scan.5.4.0-136-generic.fstack.t1", # fstack
]
experiments_t8 = [
"memcached_conn_scan.5.15.79-peter.t8", # vanilla
"memcached_conn_scan.5.15.79-peter.kernel_polling.t8", # kernel polling
]
labels = [
]
def plot(threads):
if threads == 1:
experiments = experiments_t1
experiments = experiments_t8
data = collect_data(experiments)
plt.cla()
fig, ax1 = plt.subplots()
ax2 = ax1.twinx()
for i in range(len(experiments)):
exp = experiments[i]
label = labels[i]
ax1.errorbar(data[exp][0], [data[exp][1][j] / 1000 for j in range(len(data[exp][1]))], yerr = [data[exp][2][j] / 1000 for j in range(len(data[exp][2]))], capsize = 4, label = label, marker = markers[label], color = colors[label])
offset = (3 * i + 1.5) - 3 * len(experiments) / 2
ax2.bar([data[exp][0][j] + offset for j in range(len(data[exp][0]))], data[exp][3], 3, yerr = data[exp][4], capsize = 4, label = label, edgecolor = colors[label], hatch = patterns[label], fill = False)
ax1.set_xlabel('Connections (per client; 56 clients)')
ax1.legend(loc = 'upper left')
ax2.legend(loc = 'upper right')
if os.getenv('SAVE_FIGURE') != 'true':
plt.rcParams.update({'font.size': 16})
plt.show()
else:
plt.savefig('../data/figs/memcached_conn_scan.t%d.png' % (threads,), dpi = 192)