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112 lines
3.4 KiB
112 lines
3.4 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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timestamp=$(date +%s)
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experiment_directory=$(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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# Start the runtime
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if [ "$1" != "-d" ]; then
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PATH="$binary_directory:$PATH" LD_LIBRARY_PATH="$binary_directory:$LD_LIBRARY_PATH" sledgert "$experiment_directory/spec.json" >>"$results_directory/$log" 2>>"$results_directory/$log" &
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sleep 1
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else
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echo "Running under gdb"
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echo "Running under gdb" >>"$results_directory/$log"
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fi
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payloads=(fivebyeight/5x8 handwriting/handwrt1 hyde/hyde)
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ports=(10000 10001 10002)
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iterations=1000
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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 i in {0..2}; do
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hey -n 200 -c 3 -q 200 -o csv -m GET -D "$experiment_directory/${payloads[$i]}.pnm" "http://localhost:${ports[$i]}"
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done
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sleep 1
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echo "[DONE]"
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# Execute the experiments
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echo "Running Experiments"
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for i in {0..2}; do
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printf "\t%s Payload: " "${payloads[$i]}"
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file=$(echo "${payloads[$i]}" | awk -F/ '{print $2}').csv
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hey -n "$iterations" -c 3 -cpus 2 -o csv -m GET -D "$experiment_directory/${payloads[$i]}.pnm" "http://localhost:${ports[$i]}" >"$results_directory/$file"
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echo "[DONE]"
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done
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# Stop the runtime
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if [ "$1" != "-d" ]; then
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sleep 5
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kill_runtime
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fi
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# Generate *.csv and *.dat results
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echo -n "Parsing Results: "
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printf "Concurrency,Success_Rate\n" >>"$results_directory/success.csv"
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printf "Concurrency,Throughput\n" >>"$results_directory/throughput.csv"
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printf "Con,p50,p90,p99,p100\n" >>"$results_directory/latency.csv"
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for payload in ${payloads[*]}; do
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# Calculate Success Rate for csv
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file=$(echo "$payload" | awk -F/ '{print $2}')
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awk -F, '
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$7 == 200 {ok++}
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END{printf "'"$file"',%3.5f\n", (ok / '"$iterations"' * 100)}
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' <"$results_directory/$file.csv" >>"$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/$file.csv" |
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sort -g >"$results_directory/$file-response.csv"
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# Get Number of 200s
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oks=$(wc -l <"$results_directory/$file-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/$file.csv" | cut -d, -f8)
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throughput=$(echo "$oks/$duration" | bc)
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printf "%s,%f\n" "$file" "$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 = '"$oks"'
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printf "'"$file"',"
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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/$file-response.csv" >>"$results_directory/latency.csv"
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# Delete scratch file used for sorting/counting
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rm -rf "$results_directory/$file-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
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generate_gnuplots
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# Cleanup, if requires
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echo "[DONE]"
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