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-rwxr-xr-xscripts/run_client.sh2
-rw-r--r--scripts/thr_hist.py24
2 files changed, 22 insertions, 4 deletions
diff --git a/scripts/run_client.sh b/scripts/run_client.sh
index 92d3add..9e7d1db 100755
--- a/scripts/run_client.sh
+++ b/scripts/run_client.sh
@@ -194,7 +194,7 @@ function start_all {
local ip="$(get_ip_by_id $rid)"
local pport="$(get_peer_port_by_id $rid)"
local cport="$(get_client_port_by_id $rid)"
- local rworkdir="$remote_base/$workdir/${i}"
+ local rworkdir="$remote_base/$workdir/${j}"
(
echo "Starting a client @ $cip, connecting to server #$rid @ $ip:$cport"
_remote_load "$workdir" "$rworkdir" "$cip"
diff --git a/scripts/thr_hist.py b/scripts/thr_hist.py
index c5f2a72..b6ef40a 100644
--- a/scripts/thr_hist.py
+++ b/scripts/thr_hist.py
@@ -1,8 +1,24 @@
import sys
import re
import argparse
+import numpy as np
from datetime import datetime, timedelta
+def remove_outliers(x, outlierConstant = 1.5):
+ a = np.array(x)
+ upper_quartile = np.percentile(a, 75)
+ lower_quartile = np.percentile(a, 25)
+ IQR = (upper_quartile - lower_quartile) * outlierConstant
+ quartileSet = (lower_quartile - IQR, upper_quartile + IQR)
+ resultList = []
+ removedList = []
+ for y in a.tolist():
+ if y >= quartileSet[0] and y <= quartileSet[1]:
+ resultList.append(y)
+ else:
+ removedList.append(y)
+ return (resultList, removedList)
+
def str2datetime(s):
parts = s.split('.')
dt = datetime.strptime(parts[0], "%Y-%m-%d %H:%M:%S")
@@ -29,14 +45,14 @@ if __name__ == '__main__':
begin_time = None
next_begin_time = None
cnt = 0
- lat = 0
+ lats = []
timestamps = []
values = []
for line in sys.stdin:
m = commit_pat.match(line)
if m:
timestamps.append(str2datetime(m.group(1)))
- lat += float(m.group(2))
+ lats.append(float(m.group(2)))
timestamps.sort()
for timestamp in timestamps:
if begin_time and timestamp < next_begin_time:
@@ -49,5 +65,7 @@ if __name__ == '__main__':
cnt = 1
values.append(cnt)
print(values)
- print("lat = {:.3f}ms".format(lat / len(timestamps) * 1e3))
+ print("lat = {:.3f}ms".format(sum(lats) / len(lats) * 1e3))
+ lats, _ = remove_outliers(lats)
+ print("lat = {:.3f}ms".format(sum(lats) / len(lats) * 1e3))
plot_thr(args.output)