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| author | Loic Guegan <manzerberdes@gmx.com> | 2019-05-24 15:59:42 +0200 |
|---|---|---|
| committer | Loic Guegan <manzerberdes@gmx.com> | 2019-05-24 15:59:42 +0200 |
| commit | 22640c1e2bac3afd92a6c5e50f2732f4f774b803 (patch) | |
| tree | 7bf47f2198368a0c25dc43f98ec12620a27f44ed /2019-Mascots.org | |
| parent | 3979a58065edeeb5cbc66eaf8fc326c95e598c34 (diff) | |
Update
Diffstat (limited to '2019-Mascots.org')
| -rw-r--r-- | 2019-Mascots.org | 7 |
1 files changed, 4 insertions, 3 deletions
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 |