* Added a script (measurement_run.py) for running whitebox measurements
  to measure the amount of time Flows are added to the Network MAP.

* Added a script (measurement_process.py) to generate the CDF
  of the time to install a single Flow:
  cat result.txt | awk '{print $2}' | ./measurement_process.py > result_cdf.txt
diff --git a/web/measurement_process.py b/web/measurement_process.py
new file mode 100755
index 0000000..3187299
--- /dev/null
+++ b/web/measurement_process.py
@@ -0,0 +1,59 @@
+#! /usr/bin/env python
+# -*- Mode: python; py-indent-offset: 4; tab-width: 8; indent-tabs-mode: t; -*-
+
+import functools
+import math
+import sys
+
+## {{{ http://code.activestate.com/recipes/511478/ (r1)
+
+def percentile(N, percent, key=lambda x:x):
+    """
+    Find the percentile of a list of values.
+
+    @parameter N - is a list of values. Note N MUST BE already sorted.
+    @parameter percent - a float value from 0.0 to 1.0.
+    @parameter key - optional key function to compute value from each element of N.
+
+    @return - the percentile of the values
+    """
+    if not N:
+        return None
+    k = (len(N)-1) * percent
+    f = math.floor(k)
+    c = math.ceil(k)
+    if f == c:
+        return key(N[int(k)])
+    d0 = key(N[int(f)]) * (c-k)
+    d1 = key(N[int(c)]) * (k-f)
+    return d0+d1
+
+# median is 50th percentile.
+# median = functools.partial(percentile, percent=0.5)
+## end of http://code.activestate.com/recipes/511478/ }}}
+
+if __name__ == "__main__":
+
+    dict = {}
+
+    #
+    # Read the data from the stdin, and store it in a dictionary.
+    # The dictionary uses lists as values.
+    #
+    data = sys.stdin.readlines()
+    for line in data:
+	words = line.split()
+	thread_n = int(words[0])
+	msec = float(words[1])
+	dict.setdefault(thread_n, []).append(msec)
+
+    #
+    # Compute and print the values: median (50-th), 10-th, and 90-th
+    # percentile:
+    # <key> <median> <10-percentile> <90-percentile>
+    #
+    for key, val_list in sorted(dict.items()):
+	val_10 = percentile(sorted(val_list), 0.1)
+	val_50 = percentile(sorted(val_list), 0.5)
+	val_90 = percentile(sorted(val_list), 0.9)
+	print "%s %s %s %s" % (str(key), str(val_50), str(val_10), str(val_90))