Update scalability analysis

This commit is contained in:
Loic Guegan 2021-09-03 14:20:09 +02:00
parent 45ff3848e5
commit 41d0a70829
8 changed files with 1915245 additions and 0 deletions

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library("tidyverse")
library("ggthemes")
library("gridExtra")
library("patchwork")
library(RColorBrewer)
data=read_csv("results_scalability.csv")
r_=function(x){round(x,digits=1)}
color=function(){scale_fill_brewer(palette = "Accent")}
color2=function(){scale_fill_brewer(palette = "Set2")}
nolegend=function(){theme(legend.position="none")}
simkeys=unique(data$simkey)
nsimkeys=length(simkeys)
s_=function(x){if(x<0){return("")}else{return("+")}}
simkey_rename=function(key){
if(key=="hint")
return("Hints")
if(key=="baseline")
return("Baseline")
if(key=="extended")
return("Extended")
if(key=="hintandextended")
return("Hints+Extended")
return(key)
}
dformat=function(data){
data%>%rowwise()%>%mutate(simkey=simkey_rename(simkey))%>%mutate(wireless=ifelse(wireless=="lora","LoRa","Nb-IoT"))
}
g_legend <- function(a.gplot){
tmp <- ggplot_gtable(ggplot_build(a.gplot))
leg <- which(sapply(tmp$grobs, function(x) x$name) == "guide-box")
legend <- tmp$grobs[[leg]]
legend
}
custom_theme=function(){theme_clean()+ theme(plot.background=element_blank())}
data=data%>%dformat()
# Compute delivery success
statsSuccess=data%>%filter(isSender!=0)%>%group_by(wireless,wakeupfor,n_nodes,seed,simkey)%>%summarize(success=mean(nSend))%>%ungroup()
data=data%>%left_join(statsSuccess,by=c("wireless","wakeupfor","n_nodes","seed","simkey"))
# Computer stats senders
statsSender=data%>%filter(isSender!=0)%>%group_by(wireless,wakeupfor,n_nodes,seed,simkey)%>%summarize(success=mean(success),energy=mean(energy))%>%ungroup()
statsSender=statsSender%>%group_by(wireless,wakeupfor,n_nodes,simkey)%>%summarize(success_sd=sd(success),success=mean(success),energy_sd=sd(energy),energy=mean(energy))%>%ungroup()
# Computer stats receiver
statsReceiver=data%>%filter(isSender==0)%>%group_by(wireless,wakeupfor,n_nodes,seed,simkey)%>%summarize(success=mean(success),energy=mean(energy))%>%ungroup()
statsReceiver=statsReceiver%>%group_by(wireless,wakeupfor,n_nodes,simkey)%>%summarize(success_sd=sd(success),success=mean(success),energy_sd=sd(energy),energy=mean(energy))%>%ungroup()
# Energy
sender60sPlotEnergy=ggplot(statsSender%>%filter(wakeupfor==60),aes(n_nodes,energy,color=simkey,group=simkey))+
geom_ribbon(aes(ymin=energy-energy_sd, ymax=energy+energy_sd,fill=simkey),linetype=1,alpha=0.4)+
geom_point()+geom_line()+
facet_wrap(~wireless)+xlab("Number of node")+ylab("Energy consumption (J)")+labs(colour="Policy")+custom_theme()+theme(legend.position="top")+ggtitle("Sender")+
guides(colour=FALSE,fill=guide_legend(title="Policy"))
sender180sPlotEnergy=ggplot(statsSender%>%filter(wakeupfor==180),aes(n_nodes,energy,color=simkey,group=simkey))+
geom_ribbon(aes(ymin=energy-energy_sd, ymax=energy+energy_sd,fill=simkey),linetype=1,alpha=0.4)+
geom_point()+geom_line()+
facet_wrap(~wireless)+xlab("Number of node")+ylab("Energy consumption (J)")+labs(colour="Policy")+custom_theme()+theme(legend.position="top")+ggtitle("Sender")+
guides(colour=FALSE,fill=guide_legend(title="Policy"))
receiver60sPlotEnergy=ggplot(statsReceiver%>%filter(wakeupfor==60),aes(n_nodes,energy,color=simkey,group=simkey))+
geom_ribbon(aes(ymin=energy-energy_sd, ymax=energy+energy_sd,,fill=simkey),linetype=1,alpha=0.4)+
geom_point()+geom_line()+
facet_wrap(~wireless)+xlab("Number of node")+ylab("Energy consumption (J)")+labs(colour="Policy") + custom_theme()+theme(legend.position="top")+ggtitle("Receiver")+
guides(colour=FALSE,fill=guide_legend(title="Policy"))
receiver180sPlotEnergy=ggplot(statsReceiver%>%filter(wakeupfor==180),aes(n_nodes,energy,color=simkey,group=simkey))+
geom_ribbon(aes(ymin=energy-energy_sd, ymax=energy+energy_sd,fill=simkey),linetype=1,alpha=0.4)+
geom_point()+geom_line()+
facet_wrap(~wireless)+xlab("Number of node")+ylab("Energy consumption (J)")+labs(colour="Policy")+custom_theme()+theme(legend.position="top")+ggtitle("Receiver")+
guides(colour=FALSE,fill=guide_legend(title="Policy"))
# Success
sender60sPlotSuccess=ggplot(statsSender%>%filter(wakeupfor==60),aes(n_nodes,success,color=simkey,group=simkey))+
geom_ribbon(aes(ymin=success-success_sd, ymax=success+success_sd,fill=simkey),linetype=1,alpha=0.4)+
geom_point()+geom_line()+
facet_wrap(~wireless)+xlab("Number of node")+ylab("Number of delivery success")+labs(colour="Policy")+custom_theme()+theme(legend.position="top")+
theme(panel.background = element_rect(fill = '#EFEFEF', color=NA))+guides(colour=FALSE,fill=guide_legend(title="Policy"))
sender180sPlotSuccess=ggplot(statsSender%>%filter(wakeupfor==180),aes(n_nodes,success,color=simkey,group=simkey))+
geom_ribbon(aes(ymin=success-success_sd, ymax=success+success_sd,fill=simkey),linetype=1,alpha=0.4)+
geom_point()+geom_line()+
facet_wrap(~wireless)+xlab("Number of node")+ylab("Number of delivery success")+labs(colour="Policy")+custom_theme()+theme(legend.position="top")+
theme(panel.background = element_rect(fill = '#EFEFEF', color=NA))+guides(colour=FALSE,fill=guide_legend(title="Policy"))
receiver60sPlotSuccess=ggplot(statsReceiver%>%filter(wakeupfor==60),aes(n_nodes,success,color=simkey,group=simkey))+
geom_ribbon(aes(ymin=success-success_sd, ymax=success+success_sd,fill=simkey),linetype=1,alpha=0.4)+
geom_point()+geom_line()+
facet_wrap(~wireless)+xlab("Number of node")+ylab("Number of delivery success")+labs(colour="Policy") + custom_theme()+theme(legend.position="top")+
theme(panel.background = element_rect(fill = '#EFEFEF', color=NA))+guides(colour=FALSE,fill=guide_legend(title="Policy"))
receiver180sPlotSuccess=ggplot(statsReceiver%>%filter(wakeupfor==180),aes(n_nodes,success,color=simkey,group=simkey))+
geom_ribbon(aes(ymin=success-success_sd, ymax=success+success_sd,fill=simkey),linetype=1,alpha=0.4)+
geom_point()+geom_line()+
facet_wrap(~wireless)+xlab("Number of node")+ylab("Number of delivery success")+labs(colour="Policy")+custom_theme()+theme(legend.position="top")+
theme(panel.background = element_rect(fill = '#EFEFEF', color=NA))+guides(colour=FALSE,fill=guide_legend(title="Policy"))
w=15
h=9
space=2
ggsave("scalability_60s.pdf",plot=(sender60sPlotEnergy+theme(plot.margin=unit(c(0.1,space,0,0),"cm"))+receiver60sPlotEnergy)/sender60sPlotSuccess+plot_layout(guides = 'collect')&theme(legend.position="bottom"),width=w,height=h)
ggsave("scalability_180s.pdf",plot=(sender180sPlotEnergy+theme(plot.margin=unit(c(0.1,space,0,0),"cm"))+receiver180sPlotEnergy)/sender180sPlotSuccess+plot_layout(guides = 'collect')&theme(legend.position="bottom"),width=w,height=h)

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#!/usr/bin/env bash
set -e
wai=$(dirname $(readlink -f "$0"))
scenarios="${wai}/../scenarios"
inputs="${wai}/../inputs.json"
simulator="make -C ${wai}/../ run"
sched="${wai}/scheduler/analysis.sh"
parser="${wai}/../parser.awk"
results="${wai}/results_scalability.csv"
aheaders="simkey,wireless,wakeupfor,n_nodes"
avalues="none,none,none,none"
log_file="${wai}/logs/$(date +%s).org" && mkdir -p "${wai}/logs/"
gen_log=0 # Should we generate logs ?
run-simulation () {
# Generate inputs
$scenarios $seed $simtime $wakeupevery $wakeupfor $n_nodes $extended $hint $poff $pon $prx $ptx $datasize $bitrate $hintsize $latency $shutdown_on_rcv $unschedule_on_rcv $farhint $hintdist > "$inputs"
# Init logs
[ $gen_log -eq 1 ] && echo -e "* seed=$seed simtime=$simtime wakeupevery=$wakeupevery wakeupfor=$wakeupfor n_nodes=$n_nodes extended=$extended hint=$hint poff=$poff pon=$pon prx=$prx ptx=$ptx datasize=$datasize bitrate=$bitrate \n" >> "${log_file}"
# Run simulations
tmp=$(mktemp)
$simulator &> $tmp
[ $gen_log -eq 1 ] && cp $tmp "${log_file}"
# Gen csv
[ ! -e "$results" ] && { cat $tmp | $parser | sed "1 s/$/,${aheaders}/g" | sed "2,\$s/$/,${avalues}/" > "$results"; }
[ -e "$results" ] && { cat $tmp | $parser | sed 1d | sed "s/$/,${avalues}/" >> "$results"; }
# Gen scheduler analysis
#[ $seed -eq 1 ] && $sched $tmp "logs/$(echo ${avalues}|tr ',' '_')_hint${hint}_extended${extended}.png"
# Clear tmp
rm $tmp
}
# Default Parameters
seed=0
simtime=86400 # One day
wakeupevery=3600
wakeupfor=60
n_nodes=13 # First node will be the sender so n_receivers=n_nodes-1
extended="false"
hint="false"
poff=0
pon=0.4
prx=0.16
ptx=0.16
datasize=1000000 # 1Mb
hintsize=8 # Integer
hintdist=10800 # Hint distance while using farhint
latency=0 # in Seconds
shutdown_on_rcv="false"
unschedule_on_rcv="false"
farhint="false"
bitrate="100kbps"
run-scenarios() {
# Configure number of seed per scenarios
nseed=5
# Baseline
avalues="baseline,$wireless,$wakeupfor,$n_nodes"
for seed in $(seq 1 $nseed)
do
printf "\rBaseline...${seed}"
run-simulation
done
echo
# Hint
hint="true"
avalues="hint,$wireless,$wakeupfor,$n_nodes"
for seed in $(seq 1 $nseed)
do
printf "\rHint...${seed}"
run-simulation
done
hint="false"
echo
# Extended
extended="true"
avalues="extended,$wireless,$wakeupfor,$n_nodes"
for seed in $(seq 1 $nseed)
do
printf "\rExtended...${seed}"
run-simulation
done
extended="false"
echo
# Hint+Extended
extended="true"
hint="true"
avalues="hintandextended,$wireless,$wakeupfor,$n_nodes"
for seed in $(seq 1 $nseed)
do
printf "\rHint + Extended...${seed}"
run-simulation
done
extended="false"
hint="false"
echo
}
# Clean previous runs
[ -e "${results}" ] && rm "${results}"
for wakeupfor in 60 180
do
for n_nodes in $(shuf -i 12-100 -n 30|sort)
do
# Lora
echo "----- Run Lora (wakeupfor=$wakeupfor) -----"
wireless="lora"
bitrate="50kbps"
pon=0.4
prx=0.16
ptx=0.16
latency=0
run-scenarios
# NbIot
echo "----- Run NbIoT (wakeupfor=$wakeupfor) -----"
wireless="nbiot"
bitrate="200kbps"
pon=0.4
prx=0.65
ptx=0.65
latency=0
run-scenarios
done
done

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