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112 lines
3.6 KiB
112 lines
3.6 KiB
#!/bin/bash
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source ../common.sh
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# This experiment is intended to document how the level of concurrent requests influence the latency, throughput, and success/failure rate
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# Use -d flag if running under gdb
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host=192.168.1.13
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# host=localhost
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# timestamp=$(date +%s)
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timestamp=1606697099
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experiment_directory=$(pwd)
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binary_directory=$(cd ../../bin && pwd)
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results_directory="$experiment_directory/res/$timestamp"
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log=log.txt
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mkdir -p "$results_directory"
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log_environment >> "$results_directory/$log"
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inputs=(40 10)
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duration_sec=60
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offset=5
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# Execute workloads long enough for runtime to learn excepted execution time
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# echo -n "Running Samples: "
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# for input in ${inputs[*]}; do
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# hey -n 16 -c 4 -t 0 -o csv -m GET -d "$input\n" http://${host}:$((10000 + input))
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# done
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# echo "[DONE]"
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# sleep 5
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# echo "Running Experiments"
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# # 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
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# hey -z $((duration_sec + 2 * offset))s -cpus 3 -c 200 -t 0 -o csv -m GET -d "40\n" http://${host}:10040 >"$results_directory/fib40-con.csv" &
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# sleep $offset
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# hey -z ${duration_sec}s -cpus 3 -c 200 -t 0 -o csv -m GET -d "10\n" http://${host}:10010 >"$results_directory/fib10-con.csv" &
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# sleep $((duration_sec + offset + 15))
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# sleep 30
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# Generate *.csv and *.dat results
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echo -n "Parsing Results: "
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printf "Payload,Success_Rate\n" >> "$results_directory/success.csv"
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printf "Payload,Throughput\n" >> "$results_directory/throughput.csv"
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printf "Payload,p50,p90,p99,p100\n" >> "$results_directory/latency.csv"
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deadlines_ms=(20 20000)
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payloads=(fib10-con fib40-con)
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durations_s=(60 70)
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for ((i = 0; i < 2; i++)); do
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payload=${payloads[$i]}
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deadline=${deadlines_ms[$i]}
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duration=${durations_s[$i]}
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# Get Number of Requests
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requests=$(($(wc -l < "$results_directory/$payload.csv") - 1))
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((requests == 0)) && continue
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# Calculate Success Rate for csv
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awk -F, '
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$7 == 200 {denom++}
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$7 == 200 && ($1 * 1000) <= '"$deadline"' {ok++}
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END{printf "'"$payload"',%3.5f%\n", (ok / denom * 100)}
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' < "$results_directory/$payload.csv" >> "$results_directory/success.csv"
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# Filter on 200s, convery from s to ms, and sort
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awk -F, '$7 == 200 {print ($1 * 1000)}' < "$results_directory/$payload.csv" \
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| sort -g > "$results_directory/$payload-response.csv"
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# Get Number of 200s
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oks=$(wc -l < "$results_directory/$payload-response.csv")
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((oks == 0)) && continue # If all errors, skip line
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# Get Latest Timestamp
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# duration=$(tail -n1 "$results_directory/$payload.csv" | cut -d, -f8)
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throughput=$(echo "$oks/$duration" | bc)
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printf "%s,%f\n" "$payload" "$throughput" >> "$results_directory/throughput.csv"
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# Generate Latency Data for csv
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awk '
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BEGIN {
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sum = 0
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p50 = int('"$oks"' * 0.5)
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p90 = int('"$oks"' * 0.9)
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p99 = int('"$oks"' * 0.99)
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p100 = '"$oks"'
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printf "'"$payload"',"
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}
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NR==p50 {printf "%1.4f,", $0}
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NR==p90 {printf "%1.4f,", $0}
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NR==p99 {printf "%1.4f,", $0}
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NR==p100 {printf "%1.4f\n", $0}
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' < "$results_directory/$payload-response.csv" >> "$results_directory/latency.csv"
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# Delete scratch file used for sorting/counting
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# rm -rf "$results_directory/$payload-response.csv"
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done
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# Transform csvs to dat files for gnuplot
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for file in success latency throughput; do
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echo -n "#" > "$results_directory/$file.dat"
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tr ',' ' ' < "$results_directory/$file.csv" | column -t >> "$results_directory/$file.dat"
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done
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# Generate gnuplots. Commented out because we don't have *.gnuplots defined
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# generate_gnuplots
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# Cleanup, if requires
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echo "[DONE]"
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