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Commits
| Author | SHA1 | Date | |
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95b6ef2397 |
@@ -8,11 +8,13 @@
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```sh
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nimble install -dy
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cd shadow
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# the default shadow.yml will start 5k nodes, you might want to change that by removing
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# lines and setting PEERS to the number of instances
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./run.sh
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# the output is a "latencies" file, or you can find each host output in the
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# data.shadow folder
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./run.sh x n
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# The run.sh file runs the simulation "x" number of times and every simulation run uses "n" number of nodes
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# The number of nodes is maintained in the shadow.yaml file, and automatically updated by run.sh.
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# The output files latencies(x), stats(x) and shadowlog(x) carries the outputs for each simulation run.
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# The summary_dontwant.awk, summary_latency.awk, and summary_shadowlog.awk parse the output files.
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# The run.sh script automatically calls these files to display the output
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# a temperary data.shadow folder is created for each simulation and removed by the run.sh after the simulation is over
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# you can use the plotter tool to extract useful metrics & generate a graph
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cd ../tools
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+10
-3
@@ -1,6 +1,6 @@
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import stew/endians2, stew/byteutils, tables, strutils, os
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import libp2p, libp2p/protocols/pubsub/rpc/messages
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import libp2p/muxers/mplex/lpchannel, libp2p/protocols/ping
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import ../../nim-libp2p/libp2p, ../../nim-libp2p/libp2p/protocols/pubsub/rpc/messages
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import ../../nim-libp2p/libp2p/muxers/mplex/lpchannel, ../../nim-libp2p/libp2p/protocols/ping
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import chronos
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import sequtils, hashes, math, metrics
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from times import getTime, toUnix, fromUnix, `-`, initTime, `$`, inMilliseconds
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@@ -156,5 +156,12 @@ proc main {.async.} =
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#echo "BW: ", libp2p_protocols_bytes.value(labelValues=["/meshsub/1.1.0", "in"]) + libp2p_protocols_bytes.value(labelValues=["/meshsub/1.1.0", "out"])
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#echo "DUPS: ", libp2p_gossipsub_duplicate.value(), " / ", libp2p_gossipsub_received.value()
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#requires exporting counters from GossipSub.nim
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echo "statcounters: dup_during_validation ", libp2p_gossipsub_duplicate_during_validation.value(),
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"\tidontwant_saves ", libp2p_gossipsub_idontwant_saved_messages.value(),
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#"gossip optimization saves ", libp2p_gossipsub_saved_bytes.value(),
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"\tdup_received ", libp2p_gossipsub_duplicate.value(),
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"\tUnique_msg_received ", libp2p_gossipsub_received.value(),
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"\tStaggered_Saves ", libp2p_gossipsub_staggerSave.value(),
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"\tDontWant_IN_Stagger ", libp2p_gossipsub_staggerDontWantSave.value()
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waitFor(main())
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+33
-5
@@ -1,8 +1,36 @@
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#!/bin/sh
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set -e
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if [ $# -ne 2 ]; then
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echo "Usage: $0 <runs> <nodes>"
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exit 1
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fi
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nim c -d:chronicles_colors=None --threads:on -d:metrics -d:libp2p_network_protocols_metrics -d:release main
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rm -rf shadow.data/
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shadow shadow.yaml
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grep -rne 'milliseconds\|BW' shadow.data/ > latencies
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runs="$1" #number of simulation runs
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nodes="$2" #number of nodes to simulate
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shadow_file="shadow.yaml"
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sed -i '/environment:/q' "$shadow_file"
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sed -E -i "s/\"PEERS\": \"[0-9]+\"/\"PEERS\": \"$nodes\"/" "$shadow_file"
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counter=2
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while [ $counter -le $nodes ]; do
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echo " peer$counter: *client_host" >> "$shadow_file"
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counter=$((counter + 1))
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done
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rm -f shadowlog* latencies* stats* main && rm -rf shadow.data/
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nim c -d:chronicles_colors=None --threads:on -d:metrics -d:libp2p_network_protocols_metrics -d:release main
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for i in $(seq $runs); do
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echo "Running for turn "$i
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shadow shadow.yaml > shadowlog$i &&
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grep -rne 'milliseconds\|BW' shadow.data/ > latencies$i &&
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grep -rne 'statcounters:' shadow.data/ > stats$i
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rm -rf shadow.data/
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done
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for i in $(seq $runs); do
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echo "Summary for turn "$i
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awk -f summary_latency.awk latencies$i
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awk -f summary_shadowlog.awk shadowlog$i
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awk -f summary_dontwant.awk stats$i
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done
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@@ -0,0 +1,30 @@
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BEGIN {
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FS = " "; #default column separator
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idontwant_saves = min_idontwant = max_idontwant = 0;
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dup_received = min_dup = max_dup = 0;
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unique_msg_received = 0;
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stagger_saves = 0;
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stagger_DontWantSaves = 0;
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}
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{
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#print $5, $7, $9
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idontwant_saves += $5
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if ($5 < min_idontwant || min_idontwant == 0) min_idontwant = $5
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if ($5 > max_idontwant) max_idontwant = $5
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dup_received += $7
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if ($7 < min_dup || min_dup == 0) min_dup = $7
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if ($7 > max_dup) max_dup = $7
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unique_msg_received += $9
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stagger_saves += $11
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stagger_DontWantSaves += $13
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}
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END {
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print "idontwant_saves min, max, avg, total : ", min_idontwant, "\t", max_idontwant, "\t", idontwant_saves/NR, "\t", idontwant_saves
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print "dup_received min, max, avg, total : ", min_dup, "\t", max_dup, "\t", dup_received/NR, "\t", dup_received
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print "Unique_msg_received: ", unique_msg_received, "\tStagger Saves : ", stagger_saves, "\tStaggerDontWantSaves", stagger_DontWantSaves
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}
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@@ -0,0 +1,49 @@
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# we parse the latencies(x) file produced by run.sh to receive results summary (Max/Avg Latency --> per packet, overall)
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# runs $awk -f result_summary.awk latencies(x)
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BEGIN {
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FS = " "; #default column separator
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network_size = 0
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max_nw_lat = sum_nw_lat = 0
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hop_lat = 100 #should be consistent with shadow.yaml
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}
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{
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clean_int = $3
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gsub(/[^0-9]/, "", clean_int);
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if ($3 == clean_int){ #get rid of unwanted rows
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sum_nw_lat += $NF
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if (max_nw_lat < $NF) {max_nw_lat = $NF}
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if (split($1, arr, "peer|/main|:.*:")) {
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#$3 = rx_latency, arr[4] = publish_time, arr[2] = peerID
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lat_arr[arr[4], $3]++;
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msg_arr[arr[4]] = 1; #we maintain set of messages identified by their publish time
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if (network_size < arr[2]) {network_size = arr[2]}
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}
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}
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}
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END {
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print "Total Nodes : ", network_size, "Total Messages Published : ", length(msg_arr),
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"Network Latency\t MAX : ", max_nw_lat, "\tAverage : ", sum_nw_lat/NR
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print " Message ID \t Avg Latency \t Messages Received"
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for (value in msg_arr) {
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sum_rx_msgs = 0;
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latency = 0;
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for (key in lat_arr) {
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split(key, parts, SUBSEP);
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if (parts[1] == value) {
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sum_rx_msgs = sum_rx_msgs + lat_arr[key]; #total receives / message
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latency = latency + (lat_arr[key] * parts[2])
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spread[ int((parts[2]) / hop_lat) ] = lat_arr[key] #hop-by-hop spread count of messages
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}
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}
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print value, "\t", latency/sum_rx_msgs, "\t ", sum_rx_msgs, "spread is",
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spread[1], spread[2], spread[3], spread[4], spread[5], spread[6], spread[7]
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delete spread
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}
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}
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@@ -0,0 +1,145 @@
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BEGIN {
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FS = " "; #column separator
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fg_index = 7 #flags start index in $10
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flag_size = 12 #size of flags
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local_in = 0 #inbound-localhost-counters
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local_out = 1 #outbound-localhost-counters
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remote_in = 2 #inbound-remote-counters
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remote_out = 3 #outbound-remote-counters
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}
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{
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if ($9 == "[node]") {
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#$5: peer info, $10: traffic stats, we need to split
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peerlist[$5] = 1 #list for all peers
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if (split($10, arr, ",|;")) {
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#arr[2]: received bytes, arr[3]: transferred bytes
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if (arr[2] > 0) {sum_rx[$5] += arr[2]} #bytes received
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if (arr[3] > 0) {sum_tx[$5] += arr[3]} #bytes transferred
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#inbound-localhost-counters
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idx = fg_index + (flag_size * local_in)
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#if (arr[idx] > 0) {
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local_in_pkt[$5] += arr[idx]
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local_in_bytes[$5] += arr[idx+1]
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local_in_ctrl_pkt[$5] += arr[idx+2]
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local_in_ctrl_hdr_bytes[$5] += arr[idx+3]
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local_in_data_pkt[$5] += arr[idx+6]
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local_in_data_hdr_bytes[$5] += arr[idx+7]
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local_in_data_bytes[$5] += arr[idx+8]
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#}
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#outbound-localhost-counters
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idx = fg_index + (flag_size * local_out)
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#if (arr[idx] > 0) {
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local_out_pkt[$5] += arr[idx]
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local_out_bytes[$5] += arr[idx+1]
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local_out_ctrl_pkt[$5] += arr[idx+2]
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local_out_ctrl_hdr_bytes[$5] += arr[idx+3]
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local_out_data_pkt[$5] += arr[idx+6]
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local_out_data_hdr_bytes[$5] += arr[idx+7]
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local_out_data_bytes[$5] += arr[idx+8]
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#}
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#inbound-remote-counters
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idx = fg_index + (flag_size * remote_in)
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#if (arr[idx] > 0) {
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remote_in_pkt[$5] += arr[idx]
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remote_in_bytes[$5] += arr[idx+1]
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remote_in_ctrl_pkt[$5] += arr[idx+2]
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remote_in_ctrl_hdr_bytes[$5] += arr[idx+3]
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remote_in_data_pkt[$5] += arr[idx+6]
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remote_in_data_hdr_bytes[$5] += arr[idx+7]
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remote_in_data_bytes[$5] += arr[idx+8]
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#}
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#outbound-remote-counters
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idx = fg_index + (flag_size * remote_out)
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#if (arr[idx] > 0) {
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remote_out_pkt[$5] += arr[idx]
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remote_out_bytes[$5] += arr[idx+1]
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remote_out_ctrl_pkt[$5] += arr[idx+2]
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remote_out_ctrl_hdr_bytes[$5] += arr[idx+3]
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remote_out_data_pkt[$5] += arr[idx+6]
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remote_out_data_hdr_bytes[$5] += arr[idx+7]
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remote_out_data_bytes[$5] += arr[idx+8]
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#}
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}
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}
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}
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END {
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nw_size = length(peerlist)
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min_in = max_in = min_out = max_out = sum_in = sum_out = avg_in = avg_out = 0
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for (value in peerlist) { #node specific tx/rx stats (bytes)
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sum_in += sum_rx[value]
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sum_out += sum_tx[value]
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if (sum_rx[value] < min_in || min_in == 0) min_in = sum_rx[value]
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if (sum_tx[value] < min_out || min_out == 0) min_out = sum_tx[value]
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if (sum_rx[value] > max_in) max_in = sum_rx[value]
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if (sum_tx[value] > max_out) max_out = sum_tx[value]
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}
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avg_in = sum_in/nw_size
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avg_out = sum_out/nw_size
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for (value in peerlist) {
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sum_sq_in += (sum_rx[value] - avg_in) ^ 2 #for stddev
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sum_sq_out += (sum_tx[value] - avg_out) ^ 2
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sum_local_in_pkt += local_in_pkt[value]
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sum_local_in_bytes += local_in_bytes[value]
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sum_local_in_ctrl_pkt += local_in_ctrl_pkt[value]
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sum_local_in_ctrl_hdr_bytes += local_in_ctrl_hdr_bytes[value]
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sum_local_in_data_pkt += local_in_data_pkt[value]
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sum_local_in_data_hdr_bytes += local_in_data_hdr_bytes[value]
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sum_local_in_data_bytes += local_in_data_bytes[value]
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sum_local_out_pkt += local_out_pkt[value]
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sum_local_out_bytes += local_out_bytes[value]
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sum_local_out_ctrl_pkt += local_out_ctrl_pkt[value]
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sum_local_out_ctrl_hdr_bytes += local_out_ctrl_hdr_bytes[value]
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sum_local_out_data_pkt += local_out_data_pkt[value]
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sum_local_out_data_hdr_bytes += local_out_data_hdr_bytes[value]
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sum_local_out_data_bytes += local_out_data_bytes[value]
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sum_remote_in_pkt += remote_in_pkt[value]
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sum_romote_in_bytes += remote_in_bytes[value]
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sum_remote_in_ctrl_pkt += remote_in_ctrl_pkt[value]
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sum_remote_in_ctrl_hdr_bytes += remote_in_ctrl_hdr_bytes[value]
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sum_remote_in_data_pkt += remote_in_data_pkt[value]
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sum_remote_in_data_hdr_bytes += remote_in_data_hdr_bytes[value]
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sum_remote_in_data_bytes +=remote_in_data_bytes[value]
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sum_remote_out_pkt +=remote_out_pkt[value]
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sum_remote_out_bytes +=remote_out_bytes[value]
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sum_remote_out_ctrl_pkt +=remote_out_ctrl_pkt[value]
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sum_remote_out_ctrl_hdr_bytes +=remote_out_ctrl_hdr_bytes[value]
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sum_remote_out_data_pkt +=remote_out_data_pkt[value]
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sum_remote_out_data_hdr_bytes +=remote_out_data_hdr_bytes[value]
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sum_remote_out_data_bytes +=remote_out_data_bytes[value]
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#}
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}
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print "\nTotal Bytes Received : ", sum_in, "Total Bytes Transferred : ", sum_out
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print "Per Node Pkt Receives : min, max, avg, stddev = ", min_in, max_in, avg_in, sqrt(sum_sq_in/nw_size)
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print "Per Node Pkt Transfers: min, max, avg, stddev = ", min_out, max_out, avg_out, sqrt(sum_sq_out/nw_size)
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print "Details..."
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#print "Local IN pkt: ", sum_local_in_pkt, "Bytes : ", sum_local_in_bytes, "ctrlPkt: ", sum_local_in_ctrl_pkt, "ctrlHdrBytes: ", sum_local_in_ctrl_hdr_bytes,
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# "DataPkt: ", sum_local_in_data_pkt, "DataHdrBytes: ", sum_local_in_data_hdr_bytes, "DataBytes", sum_local_in_data_bytes
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#print "Local OUT pkt: ", sum_local_out_pkt, "Bytes : ", sum_local_out_bytes, "ctrlPkt: ", sum_local_out_ctrl_pkt, "ctrlHdrBytes: ", sum_local_out_ctrl_hdr_bytes,
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# "DataPkt: ", sum_local_out_data_pkt, "DataHdrBytes: ", sum_local_out_data_hdr_bytes, "DataBytes", sum_local_out_data_bytes
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print "Remote IN pkt: ", sum_remote_in_pkt, "Bytes : ", sum_romote_in_bytes, "ctrlPkt: ", sum_remote_in_ctrl_pkt, "ctrlHdrBytes: ", sum_remote_in_ctrl_hdr_bytes,
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"DataPkt: ", sum_remote_in_data_pkt, "DataHdrBytes: ", sum_remote_in_data_hdr_bytes, "DataBytes", sum_remote_in_data_bytes
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print "Remote OUT pkt: ", sum_remote_out_pkt, "Bytes : ", sum_romote_out_bytes, "ctrlPkt: ", sum_remote_out_ctrl_pkt, "ctrlHdrBytes: ", sum_remote_out_ctrl_hdr_bytes,
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"DataPkt: ", sum_remote_out_data_pkt, "DataHdrBytes: ", sum_remote_out_data_hdr_bytes, "DataBytes", sum_remote_out_data_bytes
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}
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Reference in New Issue
Block a user