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l---------.#2019-Mascots.org1
-rw-r--r--2019-Mascots.org7
-rw-r--r--2019-Mascots.pdfbin146173 -> 146242 bytes
-rw-r--r--plots/WPS-cloud.pngbin6170 -> 6073 bytes
4 files changed, 5 insertions, 3 deletions
diff --git a/.#2019-Mascots.org b/.#2019-Mascots.org
new file mode 120000
index 0000000..d7b9f20
--- /dev/null
+++ b/.#2019-Mascots.org
@@ -0,0 +1 @@
+loic@lguegan.1106:1558519162 \ No newline at end of file
diff --git a/2019-Mascots.org b/2019-Mascots.org
index 18220e4..0d67ea6 100644
--- a/2019-Mascots.org
+++ b/2019-Mascots.org
@@ -213,8 +213,9 @@ component, formatting, style, styling, insert
Figure \ref{fig:sensorsNumber-server} present the results of the average server energy
consumption when varying the number of sensors from 20 to 500 while Figure
\ref{fig:sensorsNumber-WPS} present the average server energy cost per sensors according to the
- number of sensors. This Figure shows a clear linear relation between the number of sensors and
- the server energy consumption.
+ number of sensors. These shows a clear linear relation between the number of sensors and the
+ server energy consumption. Moreover, we can see that the more sensors we have per server, the
+ more energy we can save.
#+BEGIN_EXPORT latex
\begin{figure}
@@ -763,7 +764,7 @@ component, formatting, style, styling, insert
p=ggplot(data,aes(x=nbSensors, y=WPS)) + geom_bar(stat="identity")+
xlab(getLabel("sensorsNumber"))+ylab("Server energy cost per sensors (W)")
- p=applyTheme(p)+theme(text = element_text(size=14))
+ 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)
#+END_SRC
diff --git a/2019-Mascots.pdf b/2019-Mascots.pdf
index 3361f67..85c5447 100644
--- a/2019-Mascots.pdf
+++ b/2019-Mascots.pdf
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diff --git a/plots/WPS-cloud.png b/plots/WPS-cloud.png
index ad83b10..b4ea138 100644
--- a/plots/WPS-cloud.png
+++ b/plots/WPS-cloud.png
Binary files differ