simulated and real experiments

1 files changed, 16 insertions, 4 deletions

diff --git a/2019-CloudCom.tex b/2019-CloudCom.tex
index 1cffd3c..6c7438c 100644
--- a/2019-CloudCom.tex
+++ b/2019-CloudCom.tex
@@ -444,9 +444,17 @@ if they are known, or estimated from specific energy models.
 \label{sec:org8201f68}
 \label{sec:eval}
 
+In this section, we analyze the experimental results. All the experiments
+concerning IoT devices and network parts (Table~\ref{tab:sensorsSendIntervalEffects} 
+and Figure~\ref{fig:sensorsNumber}) 
+are based on simulations using ns3, 
+while all the experiments on Cloud servers (Figures~\ref{fig:vmSize}, \ref{fig:sensorsNumber-server}, \ref{fig:sensorsFrequency}, 
+and~\ref{fig:sensorsNumber-WPS})
+are real measurements performed on 
+the Grid'5000 experimental platform.
+
 \subsection{IoT and Network Power Consumption}
 \label{sec:org1d05c1b}
-In this section, we analyze the experimental results.
    In a first place, we start by studying the impact of the sensors' transmission frequency on their
    energy consumption. To this end, we run several simulations in ns3 with 15 sensors using
    different transmission frequencies. The results provided by 
@@ -506,7 +514,7 @@ Consequently, sensors energy consumption is dominant, as each sensor adds its ow
 
 \begin{figure}[htbp]
   \centering
-  \includegraphics[width=0.65\linewidth]{./plots/numberSensors-WIFINET.png}
+  \includegraphics[width=0.75\linewidth]{./plots/numberSensors-WIFINET.png}
   \caption{Analysis of the variation of the number of sensors on the IoT/Network part energy consumption for a transmission interval of 10s.}
   \label{fig:sensorsNumber}
 \end{figure}
@@ -596,7 +604,7 @@ occur. Therefore, it leads to an increase of the server energy consumption.
 \begin{minipage}[t]{0.65\textwidth}
   \centering
   \includegraphics[width=0.9\linewidth]{plots/sendInterval-cloud.png}
-  \caption{Server energy consumption multiplied by the PUE (= 1.2) for 50 sensors sending requests at different transmission interval.}
+  \caption{Server power consumption multiplied by the PUE (= 1.2) for 50 sensors sending requests at different transmission interval.}
   \label{fig:sensorsFrequency}
 \end{minipage}
 \hspace{0.5cm}
@@ -621,7 +629,9 @@ To have an overview of the energy consumed by the overall system, it is importan
 end-to-end energy consumption.
 We detail here the model used to attribute the energy
 consumption of our application for each part of the
-architecture. For a given IoT device, we have:
+architecture. 
+
+For a given IoT device, we have:
 \begin{enumerate}
 \item For the IoT part, the entire consumption of the IoT device
 belongs to the system's accounted consumption.
@@ -635,12 +645,14 @@ server belongs to a data center and takes part in the overall
 energy drawn to cool the server room.
 \end{enumerate}
 
+
 Concerning the IoT part, we include the entire IoT device power
 consumption. Indeed, in our targeted low-bandwidth IoT application,
 the sensor is dedicated to this application. From Table~\ref{tab:params}, one can
 derive that the static power 
 consumption of one IoT sensor is around 0.9 Watts. Its dynamic part
 depends on the transmission frequency. So the power consumption of an IoT device:
+
 \begin{footnotesize}
 \begin{align*}
 P^{IoTdevice} & = P_{static}^{IoT} + P_{dynamic}^{IoT}\\