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#!/bin/bash
# This experiment is intended to document how the level of concurrent requests influence the latency, throughput, and success/failure rate
# Use -d flag if running under gdb
timestamp=$(date +%s)
experiment_directory=$(pwd)
binary_directory=$(cd ../../bin && pwd)
results_directory="$experiment_directory/res/$timestamp"
log=log.txt
mkdir -p "$results_directory"
{
echo "*******"
echo "* Git *"
echo "*******"
git log | head -n 1 | cut -d' ' -f2
git status
echo ""
echo "************"
echo "* Makefile *"
echo "************"
cat ../../Makefile
echo ""
echo "**********"
echo "* Run.sh *"
echo "**********"
cat run.sh
echo ""
echo "************"
echo "* Hardware *"
echo "************"
lscpu
echo ""
echo "*************"
echo "* Execution *"
echo "*************"
} >>"$results_directory/$log"
# Start the runtime
if [ "$1" != "-d" ]; then
PATH="$binary_directory:$PATH" LD_LIBRARY_PATH="$binary_directory:$LD_LIBRARY_PATH" sledgert "$experiment_directory/spec.json" >>"$results_directory/$log" 2>>"$results_directory/$log" &
sleep 1
else
echo "Running under gdb"
echo "Running under gdb" >>"$results_directory/$log"
fi
payloads=(fivebyeight/5x8 handwriting/handwrt1 hyde/hyde)
ports=(10000 10001 10002)
iterations=1000
# Execute workloads long enough for runtime to learn excepted execution time
# echo -n "Running Samples: "
# for i in {0..2}; do
# hey -n 200 -c 3 -q 200 -o csv -m GET -D "$experiment_directory/${payloads[$i]}.pnm" "http://localhost:${ports[$i]}"
# done
# sleep 1
# echo "[DONE]"
# Execute the experiments
echo "Running Experiments"
for i in {0..2}; do
printf "\t%s Payload: " "${payloads[$i]}"
file=$(echo "${payloads[$i]}" | awk -F/ '{print $2}').csv
hey -n "$iterations" -c 3 -cpus 2 -o csv -m GET -D "$experiment_directory/${payloads[$i]}.pnm" "http://localhost:${ports[$i]}" >"$results_directory/$file"
echo "[DONE]"
done
# Stop the runtime
if [ "$1" != "-d" ]; then
sleep 5
echo -n "Running Cleanup: "
pkill sledgert >/dev/null 2>/dev/null
pkill wrk >/dev/null 2>/dev/null
echo "[DONE]"
fi
# Generate *.csv and *.dat results
echo -n "Parsing Results: "
printf "Concurrency,Success_Rate\n" >>"$results_directory/success.csv"
printf "Concurrency,Throughput\n" >>"$results_directory/throughput.csv"
printf "Con,p50,p90,p99,p100\n" >>"$results_directory/latency.csv"
for payload in ${payloads[*]}; do
# Calculate Success Rate for csv
file=$(echo "$payload" | awk -F/ '{print $2}')
awk -F, '
$7 == 200 {ok++}
END{printf "'"$file"',%3.5f\n", (ok / '"$iterations"' * 100)}
' <"$results_directory/$file.csv" >>"$results_directory/success.csv"
# Filter on 200s, convery from s to ms, and sort
awk -F, '$7 == 200 {print ($1 * 1000)}' <"$results_directory/$file.csv" |
sort -g >"$results_directory/$file-response.csv"
# Get Number of 200s
oks=$(wc -l <"$results_directory/$file-response.csv")
((oks == 0)) && continue # If all errors, skip line
# Get Latest Timestamp
duration=$(tail -n1 "$results_directory/$file.csv" | cut -d, -f8)
throughput=$(echo "$oks/$duration" | bc)
printf "%s,%f\n" "$file" "$throughput" >>"$results_directory/throughput.csv"
# Generate Latency Data for csv
awk '
BEGIN {
sum = 0
p50 = int('"$oks"' * 0.5)
p90 = int('"$oks"' * 0.9)
p99 = int('"$oks"' * 0.99)
p100 = '"$oks"'
printf "'"$file"',"
}
NR==p50 {printf "%1.4f,", $0}
NR==p90 {printf "%1.4f,", $0}
NR==p99 {printf "%1.4f,", $0}
NR==p100 {printf "%1.4f\n", $0}
' <"$results_directory/$file-response.csv" >>"$results_directory/latency.csv"
# Delete scratch file used for sorting/counting
rm -rf "$results_directory/$file-response.csv"
done
# Transform csvs to dat files for gnuplot
for file in success latency throughput; do
echo -n "#" >"$results_directory/$file.dat"
tr ',' ' ' <"$results_directory/$file.csv" | column -t >>"$results_directory/$file.dat"
done
# Generate gnuplots
cd "$results_directory" || exit
gnuplot ../../latency.gnuplot
gnuplot ../../success.gnuplot
gnuplot ../../throughput.gnuplot
cd "$experiment_directory" || exit
# Cleanup, if requires
echo "[DONE]"