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Divide by 7 energy on figure 8
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3 changed files with 58 additions and 57 deletions
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@ -242,7 +242,7 @@ heating and cooling systems.
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#+BEGIN_EXPORT latex
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\begin{figure}
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\centering
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\includegraphics[width=0.6\linewidth]{./plots/home.png}
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\includegraphics[width=0.5\linewidth]{./plots/home.png}
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\caption{Overview of IoT devices.}
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\label{fig:IoTdev}
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\end{figure}
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@ -286,7 +286,7 @@ same time.
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#+BEGIN_EXPORT latex
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\begin{figure}
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\centering
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\includegraphics[width=0.85\linewidth]{./plots/parts2.png}
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\includegraphics[width=0.6\linewidth]{./plots/parts2.png}
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\caption{Overview of the IoT architecture.}
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\label{fig:parts}
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\end{figure}
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@ -388,7 +388,7 @@ part and the cloud part, as displayed on Figure \ref{fig:parts}.
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#+BEGIN_EXPORT latex
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\begin{figure}
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\centering
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\includegraphics[width=0.5\linewidth]{./plots/g5k-xp.png}
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\includegraphics[width=0.45\linewidth]{./plots/g5k-xp.png}
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\caption{Grid'5000 experimental setup.}
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\label{fig:g5kExp}
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\end{figure}
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@ -596,7 +596,7 @@ In our case with small and sporadic network traffic, these results show that wit
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\begin{figure}
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\centering
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\hspace{1cm}
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\includegraphics[scale=0.3]{plots/final.png}
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\includegraphics[scale=0.4]{plots/final.png}
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\label{fig:end-to-end}
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\caption{End-to-end network energy consumption using sensors interval of 10s}
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\end{figure}
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@ -1084,6 +1084,7 @@ applicability of our model.
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fakeData$type=factor(fakeData$type,ordered=TRUE,levels=c("Sensors","Network","Cloud"))
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# Plot
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fakeData=fakeData%>%mutate(energy=energy/7) # Divide by 7 because 14 core so 1 machine can host 14 vm but we use redundancy (2VM for 1app)
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p=ggplot(fakeData)+geom_bar(position="dodge2",colour="black",aes(x=sensorsNumber,y=energy,fill=type),stat="identity")+
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xlab("Sensors Number")+ylab("Power Consumption (W)")+guides(fill=guide_legend(title="System Part"))
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p=applyTheme(p)+theme(text = element_text(size=16))
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2019-ICA3PP.pdf
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2019-ICA3PP.pdf
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plots/final.png
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plots/final.png
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