sledge/runtime/experiments/deadline/client.sh

#!/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]"