Update paper/new simulation with 10G routers

.#2019-Mascots.org

@@ -1 +0,0 @@
-loic@lguegan.1595:1558938768

2019-Mascots.org

@@ -297,7 +297,7 @@ component, formatting, style, styling, insert
       simple plot function for them.
 
       #+NAME: RUtils
-      #+BEGIN_SRC R :eval never
+      #+BEGIN_SRC R  :eval never
         library("tidyverse")
 
         # Fell free to update the following
@@ -311,6 +311,7 @@ component, formatting, style, styling, insert
           if("sensorsEnergy"%in%colnames(data)){ # If it is ns3 logs
             data=data%>%mutate(sensorsEnergy=sensorsEnergy/ns3SimTime)  # Convert to watts
             data=data%>%mutate(networkEnergy=networkEnergy/ns3SimTime)
+            data=data%>%mutate(networkEnergy=networkEnergy+getSwitchesIDLE(sensorsNumber,sensorsSendInterval)) # Add Idle conso of switches
             data=data%>%mutate(totalEnergy=totalEnergy/ns3SimTime)
           }
           else{ # Log from g5k
@@ -319,6 +320,32 @@ component, formatting, style, styling, insert
           }
         }
 
+
+        getSwitchesIDLE=function(nbSensors, sendInterval){
+          pktSize=192
+          nEdgeRouter=8
+          nCoreRouter=1
+
+          EdgeIdle=4095
+          EdgeMax=4550
+          EdgeTraffic=560*10^9
+
+          CoreIdle=11070
+          CoreMax=12300
+          CoreTraffic=4480*10^9
+
+          # Apply 0.6 factor
+          EdgeTraffic=EdgeTraffic*0.6
+          CoreTraffic=CoreTraffic*0.6
+
+          totalTraffic=pktSize/sendInterval*nbSensors
+
+          EdgeConso=EdgeIdle*(totalTraffic/EdgeTraffic)
+          CoreConso=CoreIdle*(totalTraffic/CoreTraffic)
+
+          return(EdgeConso+CoreConso)
+        }
+
                 # Get label according to varName
         getLabel=function(varName){
           if(is.na(labels[varName])){
@@ -335,7 +362,11 @@ component, formatting, style, styling, insert
                 scale_colour_manual(values=palette)
           return(plot)
         }
+
       #+END_SRC
+
+
+
 **** Bash
 ***** Plots -> PDF
      Merge all plots in plots/ folder into a pdf file.
@@ -468,6 +499,55 @@ component, formatting, style, styling, insert
 *** Plot Scripts
 **** Random R Scripts
 
+    Figure 
+    #+BEGIN_SRC R :noweb yes :results graphics :file plots/sendFrequency-energy.png
+      <<RUtils>>
+
+      data=loadData("logs/ns3/last/data.csv")
+      data=data%>%filter(simKey=="SENDINTERVAL",sensorsNumber==15) 
+
+      p=ggplot(data,aes(y=totalEnergy,x=sensorsSendInterval))+
+        xlab(getLabel("sensorsSendInterval"))+ylab(getLabel("Sensors And Network\nPower Consumption (W)"))+
+        geom_line()+geom_point()+expand_limits(y=c(0,50))+
+        guides(color=guide_legend(title="Curves"))+
+        theme(axis.title.y.right = element_text(margin = margin(t = 0, r = -13, b = 0, l = 7)))
+        p=applyTheme(p)
+
+      ggsave("plots/sendFrequency-energy.png",dpi=100, width=3, height=2.8)
+    #+END_SRC
+
+    #+RESULTS:
+    [[file:plots/sendFrequency-energy.png]]
+
+
+
+
+    Figure Sensors Position ~ Energy/Delay
+    #+BEGIN_SRC R :noweb yes :results graphics :file plots/sensorsPosition-delayenergy.png
+      <<RUtils>>
+      tr=11 # Offset to center delay plot
+      data=loadData("logs/ns3/last/data.csv")
+
+      data=data%>%filter(simKey=="SENSORSPOS",sensorsNumber==9)
+
+      p=ggplot(data,aes(y=sensorsEnergy,x=positionSeed,color="Energy"))+xlab(getLabel("Sensors Position Seed"))+ylab(getLabel("Sensors Power Consumption (W)"))+
+      geom_line()+geom_point()+geom_line(aes(y=(avgDelay-tr),color="Delay"))+geom_point(aes(y=(avgDelay-tr),color="Delay"))+expand_limits(y=c(0,15))+
+      scale_y_continuous(sec.axis = sec_axis(~.+tr, name = "Application Delay (s)")) +
+      guides(color=guide_legend(title="Curves"))
+
+      p=applyTheme(p)      
+      p=p+theme(axis.title.y.right = element_text(margin = margin(t = 0, r = -8, b = 0, l = 10)))
+
+
+
+      ggsave("plots/sensorsPosition-delayenergy.png",dpi=80, width=4, height=3.2)
+    #+END_SRC
+
+    #+RESULTS:
+    [[file:plots/sensorsPosition-delayenergy.png]]
+
+
+
        Watt per sensor on server
     #+BEGIN_SRC R :noweb yes :results output
       <<RUtils>>
@@ -498,7 +578,7 @@ component, formatting, style, styling, insert
        data=data%>%group_by(vmSize)%>%mutate(energy=mean(energy))%>%slice(1L)%>%ungroup()
        data=data%>%mutate(vmSize=as.character(vmSize))
 
-       ggplot(data) + geom_bar(aes(x=vmSize,y=energy),stat="identity")+expand_limits(y=c(75,100))+ylab("Server Energy Consumption (W)")+
+       ggplot(data) + geom_bar(aes(x=vmSize,y=energy),stat="identity")+expand_limits(y=c(75,100))+ylab("Server Power Consumption (W)")+
        xlab("Experiment Time (s)")+scale_y_log10()
 
 
@@ -573,55 +653,7 @@ component, formatting, style, styling, insert
     
 **** Plot In Paper
 
-    Figure 
-    #+BEGIN_SRC R :noweb yes :results graphics :file plots/sendFrequency-energy.png
-      <<RUtils>>
-
-      data=loadData("logs/ns3/last/data.csv")
-      data=data%>%filter(simKey=="SENDINTERVAL",sensorsNumber==15) 
-
-      p=ggplot(data,aes(y=totalEnergy,x=sensorsSendInterval))+
-        xlab(getLabel("sensorsSendInterval"))+ylab(getLabel("Sensors And Network\nEnergy Consumption (W)"))+
-        geom_line()+geom_point()+expand_limits(y=c(0,50))+
-        guides(color=guide_legend(title="Curves"))+
-        theme(axis.title.y.right = element_text(margin = margin(t = 0, r = -13, b = 0, l = 7)))
-        p=applyTheme(p)
-
-      ggsave("plots/sendFrequency-energy.png",dpi=100, width=3, height=2.8)
-    #+END_SRC
-
-    #+RESULTS:
-    [[file:plots/sendFrequency-energy.png]]
-
-
-
-    Figure Sensors Position ~ Energy/Delay
-    #+BEGIN_SRC R :noweb yes :results graphics :file plots/sensorsPosition-delayenergy.png
-      <<RUtils>>
-      tr=171 # Offset to center delay plot
-      data=loadData("logs/ns3/last/data.csv")
-
-      data=data%>%filter(simKey=="SENSORSPOS",sensorsNumber==9)
-
-      p=ggplot(data,aes(y=sensorsEnergy,x=positionSeed,color="Energy"))+xlab(getLabel("Sensors Position Seed"))+ylab(getLabel("Sensors Energy Consumption (W)"))+
-      geom_line()+geom_point()+geom_line(aes(y=(avgDelay-tr),color="Delay"))+geom_point(aes(y=(avgDelay-tr),color="Delay"))+expand_limits(y=c(0,15))+
-      scale_y_continuous(sec.axis = sec_axis(~.+tr, name = "Application Delay (s)")) +
-      guides(color=guide_legend(title="Curves"))
-
-      p=applyTheme(p)      
-      p=p+theme(axis.title.y.right = element_text(margin = margin(t = 0, r = -8, b = 0, l = 10)))
-
-
-
-      ggsave("plots/sensorsPosition-delayenergy.png",dpi=80, width=4, height=3.2)
-    #+END_SRC
-
-    #+RESULTS:
-    [[file:plots/sensorsPosition-delayenergy.png]]
-    
-
-
-
+    Power sensors vs network
     #+BEGIN_SRC R :noweb yes :results graphics  :file plots/numberSensors-WIFINET.png :session *R*
       <<RUtils>>
 
@@ -636,7 +668,7 @@ component, formatting, style, styling, insert
       data=data%>%filter(sensorsNumber%in%c(2,4,6,8,10))
 
       p=ggplot(data)+geom_bar(aes(x=sensorsNumber,y=energy,fill=type),position="dodge",stat="identity")+
-      xlab(getLabel("sensorsNumber"))+ ylab("Energy Consumption (W)") + guides(fill=guide_legend(title=""))
+      xlab(getLabel("sensorsNumber"))+ ylab("Power Consumption (W)") + guides(fill=guide_legend(title=""))
       p=applyTheme(p)+theme(text = element_text(size=15))
 
       size=5
@@ -652,7 +684,8 @@ component, formatting, style, styling, insert
 
 
   Final plot: Energy cloud, network and sensors
-  #+BEGIN_SRC R :noweb yes :results output graphics :file plots/final.png
+
+  #+BEGIN_SRC R :noweb yes :results graphics :file plots/final.png
     <<RUtils>>
 
     # Load data
@@ -688,7 +721,6 @@ component, formatting, style, styling, insert
     dataC5=data%>%filter(sensorsNumber==5)%>% mutate(energy=networkEnergy/simTime) %>%select(energy,sensorsNumber)
     dataC10=data%>%filter(sensorsNumber==10)%>%mutate(energy=networkEnergy/simTime) %>%select(energy,sensorsNumber)
     dataNet=rbind(dataC5,dataC10)%>%mutate(type="Network")
-
     # Sensors
     dataS5=data%>%filter(sensorsNumber==5)%>% mutate(energy=sensorsEnergy/simTime) %>%select(energy,sensorsNumber) 
     dataS10=data%>%filter(sensorsNumber==10)%>%mutate(energy=sensorsEnergy/simTime) %>%select(energy,sensorsNumber) 
@@ -706,7 +738,7 @@ component, formatting, style, styling, insert
     data=data%>%mutate(sensorsNumber=fct_reorder(sensorsNumber,as.numeric(sensorsNumber)))
     data$type=factor(data$type,ordered=TRUE,levels=c("Sensors","Network","Cloud"))
     p=ggplot(data)+geom_bar(position="dodge2",colour="black",aes(x=sensorsNumber,y=energy,fill=type),stat="identity")+ 
-    xlab("Sensors Number")+ylab("Energy Consumption (W)")+guides(fill=guide_legend(title="System Part"))
+    xlab("Sensors Number")+ylab("Power Consumption (W)")+guides(fill=guide_legend(title="System Part"))
     p=applyTheme(p)+theme(text = element_text(size=16))
     ggsave("plots/final.png",dpi=90,width=8,height=5.5)
   #+END_SRC
@@ -728,7 +760,7 @@ component, formatting, style, styling, insert
 
     data=data%>%mutate(vmSize=paste0(vmSize," MB"))
     data=data%>%group_by(vmSize)%>%mutate(avgEnergy=mean(energy))%>%ungroup()
-    p=ggplot(data,aes(x=time, y=energy)) + geom_line()+facet_wrap(~vmSize)+geom_hline(aes(yintercept=avgEnergy),color="Red",size=1.0)+expand_limits(y=c(0,40))+ylab("Server Energy Consumption (W)")+
+    p=ggplot(data,aes(x=time, y=energy)) + geom_line()+facet_wrap(~vmSize)+geom_hline(aes(yintercept=avgEnergy),color="Red",size=1.0)+expand_limits(y=c(0,40))+ylab("Server Power Consumption (W)")+
     xlab("Experiment Time (s)")
 
     p=applyTheme(p)
@@ -753,7 +785,7 @@ component, formatting, style, styling, insert
     data$nbSensors=fct_reorder(data$nbSensors, data$nbSensorsSort)
 
     data=data%>%group_by(nbSensors)%>%mutate(avgEnergy=mean(energy))%>%ungroup()
-    p=ggplot(data,aes(x=time, y=energy)) + geom_line()+facet_wrap(~nbSensors)+expand_limits(y=c(0,40))+ylab("Server Energy Consumption (W)")+
+    p=ggplot(data,aes(x=time, y=energy)) + geom_line()+facet_wrap(~nbSensors)+expand_limits(y=c(0,40))+ylab("Server Power Consumption (W)")+
     xlab("Experiment Time (s)")+geom_hline(aes(yintercept=avgEnergy),color="Red",size=1.0)
 
     p=applyTheme(p)
@@ -778,10 +810,10 @@ component, formatting, style, styling, insert
           data=data%>%mutate(WPS=(avgEnergy/nbSensors))
 
           p=ggplot(data,aes(x=nbSensors, y=avgEnergy)) + geom_point() +geom_line()+
-          xlab(getLabel("sensorsNumber"))+ylab("Average Server Energy (W)")
+          xlab(getLabel("sensorsNumber"))+ylab("Average server power consumption (W)")
 
           p=applyTheme(p)+theme(text = element_text(size=14))+ expand_limits(y=108)
-          ggsave("plots/sensorsNumberLine-cloud.png",dpi=90,height=4,width=4)
+          ggsave("plots/sensorsNumberLine-cloud.png",dpi=90,height=4.5,width=4)
   #+END_SRC
 
   #+RESULTS:
@@ -804,7 +836,7 @@ component, formatting, style, styling, insert
           data=data%>%mutate(nbSensors=as.character(nbSensors))
           data$nbSensors=fct_reorder(data$nbSensors,oldNb)
           p=ggplot(data,aes(x=nbSensors, y=WPS)) + geom_bar(stat="identity")+
-          xlab(getLabel("sensorsNumber"))+ylab("Server energy cost per sensors (W)")
+          xlab(getLabel("sensorsNumber"))+ylab("Server power cost per sensors (W)")
 
           p=applyTheme(p)+theme(text = element_text(size=14))+        theme(axis.title.y = element_text(margin = margin(t = 0, r = 8, b = 0, l = 0)))
           ggsave("plots/WPS-cloud.png",dpi=90,height=4,width=4)
@@ -831,7 +863,7 @@ component, formatting, style, styling, insert
 
     data=data%>%group_by(sendInterval)%>%mutate(avgEnergy=mean(energy))%>%ungroup()
         print(data)
-    p=ggplot(data,aes(x=time, y=energy)) + geom_line()+facet_wrap(~sendInterval)+expand_limits(y=c(0,40))+ylab("Server Energy Consumption (W)")+
+    p=ggplot(data,aes(x=time, y=energy)) + geom_line()+facet_wrap(~sendInterval)+expand_limits(y=c(0,40))+ylab("Server power consumption (W)")+
     xlab("Experiment Time (s)")+geom_hline(aes(yintercept=avgEnergy),color="Red",size=1.0)
 
     p=applyTheme(p)