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sledge/runtime/experiments/deadline/client.sh

107 lines
3.4 KiB

#!/bin/bash
source ../common.sh
# 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
host=localhost
timestamp=$(date +%s)
experiment_directory=$(pwd)
binary_directory=$(cd ../../bin && pwd)
results_directory="$experiment_directory/res/$timestamp"
log=log.txt
mkdir -p "$results_directory"
log_environment >>"$results_directory/$log"
inputs=(40 10)
duration_sec=60
offset=5
# Execute workloads long enough for runtime to learn excepted execution time
echo -n "Running Samples: "
for input in ${inputs[*]}; do
hey -n 16 -c 4 -t 0 -o csv -m GET -d "$input\n" http://${host}:$((10000 + input))
done
echo "[DONE]"
sleep 5
echo "Running Experiments"
# Run lower priority first, then higher priority. The lower priority has offsets to ensure it runs the entire time the high priority is trying to run
hey -n 1000 -c 1000 -cpus 6 -t 0 -o csv -m GET -d "40\n" http://${host}:10040 >"$results_directory/fib40-con.csv"
# sleep $offset
# hey -n 25000 -c 1000000 -t 0 -o csv -m GET -d "10\n" http://${host}:10010 >"$results_directory/fib10-con.csv" &
# sleep $((duration_sec + offset + 45))
# Generate *.csv and *.dat results
echo -n "Parsing Results: "
printf "Payload,Success_Rate\n" >>"$results_directory/success.csv"
printf "Payload,Throughput\n" >>"$results_directory/throughput.csv"
printf "Payload,p50,p90,p99,p100\n" >>"$results_directory/latency.csv"
deadlines_ms=(20 20000)
# durations_s=(60 70)
payloads=(fib10-con fib40-con)
for ((i = 1; i < 2; i++)); do
payload=${payloads[$i]}
deadline=${deadlines_ms[$i]}
# duration=${durations_s[$i]}
# Get Number of Requests
requests=$(($(wc -l <"$results_directory/$payload.csv") - 1))
((requests == 0)) && continue
# Calculate Success Rate for csv
awk -F, '
$7 == 200 && ($1 * 1000) <= '"$deadline"' {ok++}
END{printf "'"$payload"',%3.5f%\n", (ok / (NR - 1) * 100)}
' <"$results_directory/$payload.csv" >>"$results_directory/success.csv"
# Filter on 200s, convery from s to ms, and sort
awk -F, '$7 == 200 {print ($1 * 1000)}' <"$results_directory/$payload.csv" |
sort -g >"$results_directory/$payload-response.csv"
# Get Number of 200s
oks=$(wc -l <"$results_directory/$payload-response.csv")
((oks == 0)) && continue # If all errors, skip line
# Get Latest Timestamp
# throughput=$(echo "$oks/$duration" | bc)
# printf "%s,%f\n" "$payload" "$throughput" >>"$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 "'"$payload"',"
}
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/$payload-response.csv" >>"$results_directory/latency.csv"
# Delete scratch file used for sorting/counting
# rm -rf "$results_directory/$payload-response.csv"
done
# Transform csvs to dat files for gnuplot
for file in success latency; do
echo -n "#" >"$results_directory/$file.dat"
tr ',' ' ' <"$results_directory/$file.csv" | column -t >>"$results_directory/$file.dat"
done
# Generate gnuplots. Commented out because we don't have *.gnuplots defined
# generate_gnuplots
# Cleanup, if requires
echo "[DONE]"