Merge qps_vs_conn and llc_misses

analyze/memcached_conn_vs_llc_misses.py

-import matplotlib.pyplot as plt
-from memcached_conn_scan import collect_data
-import os
-from config import markers, colors
-
-experiments = [
-    "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
-]
-
-labels = [
-    "vanilla",
-    "kernel polling (patched)",
-    "fstack",
-]
-
-def plot():
-    data = collect_data(experiments)
-
-    plt.cla()
-
-    for i in range(len(experiments)):
-        exp = experiments[i]
-        label = labels[i]
-        plt.errorbar(data[exp][0], data[exp][3], yerr=data[exp][4], capsize = 4, label = label, marker = markers[label], color = colors[label])
-
-    plt.xlabel('Connections (per client w/ 56 clients)')
-    plt.ylabel('LLC misses per request')
-
-    plt.legend()
-    if os.getenv('SAVE_FIGURE') != 'true':
-        plt.rcParams.update({'font.size': 16})
-        plt.show()
-    else:
-        plt.savefig('../data/figs/memcached_conn_scan.llc_misses.t1.png', dpi = 192)
-
-plot()

analyze/memcached_qps_vs_conn.py

 import matplotlib.pyplot as plt
+from matplotlib.legend_handler import HandlerTuple
 from memcached_conn_scan import collect_data
-from config import markers, colors
+from config import markers, colors, patterns
 import os
 
 experiments_t1 = [
@@ -28,16 +29,27 @@ def plot(threads):
     data = collect_data(experiments)
     plt.cla()
 
+    fig, ax1 = plt.subplots()
+    ax2 = ax1.twinx()
+
+    p = []
+
     for i in range(len(experiments)):
        exp = experiments[i]
        label = labels[i]
-       plt.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])
+       p1 = 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
+       p2 = 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)
+       p.append((p1, p2))
 
     plt.xlabel('Connections (per client w/ 56 clients)')
-    plt.ylabel('QPS (x1000)')
-    plt.ylim(ymin = 0)
+    ax1.set_ylabel('QPS (x1000)')
+    ax1.set_ylim(ymin = 0)
+    ax2.set_ylabel('LLC misses per query')
+    ax2.set_ylim(ymin = 0)
 
-    plt.legend()
+    plt.legend(p, labels, handler_map={tuple: HandlerTuple(ndivide=None)}, loc = 'center left', handleheight = 2, handlelength = 4)
     if os.getenv('SAVE_FIGURE') != 'true':
         plt.rcParams.update({'font.size': 16})
         plt.show()
@@ -45,4 +57,4 @@ def plot(threads):
         plt.savefig('../data/figs/memcached_conn_scan.t%d.png' % (threads,), dpi = 192)
 
 plot(1)
-plot(8)
+#plot(8)