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#!/bin/bash
# Run Multiprocessing Test
# ========================
#
# This script measures the time of several interactions with the Blobs Server
# and outputs them to a text file.
#
# The different test scenarios are:
# - 1, 2, 4, and 8 server processes.
# - several client actions (baseline, list, put, get, flag, delete)
# -
#
# Client actions
# --------------
# Baseline: is a GET / to a dummy server that returns an empty reply. Nothing
# can be faster than this.
# List: is a GET /blobs/username, which lists the (empty) set of blobs stored
# in the server.
set -e
kill_multiproc() {
pids=$(ps aux | grep python | grep "\(multiproc\|blobs-server\)" \
| grep -v grep | sed -e "s/\s\+/ /g" | cut -d' ' -f 2)
if [ ! -z "${pids}" ]; then
for pid in ${pids}; do
kill -9 ${pid}
done
fi
}
start_multiproc() {
procs=${1}
kill_multiproc
make multiproc PROCS=${procs} > /dev/null &
sleep 3
make roundrobin PROCS=${procs}
sleep 1
}
get_best() {
statement=$*
result=$(python -m timeit -n 1 -r 5 -s "import os" "os.system('${statement}')")
best=$(echo $result | sed -e s/.\*best\ of\ 5:\ // -e s/per\ loop//)
echo $best
}
get_mean() {
statement=$*
python -c "import timeit; t = timeit.timeit('import os; os.system(\'./${statement} > /dev/null\');', number=5); print t / 5"
}
request() {
action=${1}
procs=${2}
amount=${3}
size=${4}
best=$(get_mean ./request.py --${action} ${amount} ${size})
echo "${procs} ${action} ${amount} ${size} ${best}"
}
run_test() {
for procs in 1 2 4 8; do
start_multiproc ${procs}
for action in baseline list put get flag delete; do
#for amountsize in "10 1000" "100 100" "1000 10"; do
for amountsize in "1000 10"; do
rm -rf /tmp/blobs/*
request ${action} ${procs} ${amountsize} >> results.txt
done
done
kill_multiproc
done
}
run_test
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