From 77d25be8f2b2a1db89849e20b1feed47d4261044 Mon Sep 17 00:00:00 2001
From: mjkwiatkowski <mati.rewa@gmail.com>
Date: Wed, 17 Jun 2026 15:02:47 +0200
Subject: style: changed the layout to a shorter introduction as suggested by
 Daniel

---
 main.tex | 48 ++++++++++++++++--------------------------------
 1 file changed, 16 insertions(+), 32 deletions(-)

(limited to 'main.tex')

diff --git a/main.tex b/main.tex
index 8f86796..93780e7 100644
--- a/main.tex
+++ b/main.tex
@@ -19,19 +19,12 @@
 	Left to right: a Google datacenter, server racks, Ada Lovelace AD102 GPU architecture.
 \end{frame}
 
-\begin{frame}\frametitle{Problem Statement I}
-	\begin{tcolorbox}[title=We need tools to tackle datacenter complexity]
-		We need Datacenter Digital Twins (DCDT) to be better able to detect and solve issues in this critical infrastructure~\cite{DBLP:journals/computer/AthavaleBBMMPS24}.
-		However, DCDT's are still actively developed, and lack crucial features such as predictive analytics~\cite{DBLP:usdoe/report/AP26894} to \emph{e.g.,} prevent unexpected job failures.
-	\end{tcolorbox}
-	\input{images/table.tex}
-\end{frame}
 
-\begin{frame}\frametitle{Problem Statement II}
-	\begin{tcolorbox}[title=What are predictive analytics? Why are they important?]
-		Predictive analytics use statistics to predict events in advance.
-		Almost any statistical technique can be used for predictive analytics, but nowadays it is mostly associated with Artificial Intelligence and Machine Learning (\emph{e.g.,} linear regression).
-		Reducing \emph{e.g.,} job failures with timely predictions could potentially save millions of \$USD~\cite{DBLP:conf/acsos/TalluriOVTI21}.
+\begin{frame}\frametitle{Problem Statement}
+	\begin{tcolorbox}[title=DCDT's lack predictive analytics]
+		We need Datacenter Digital Twins (DCDT) to be better able to detect and solve issues in critical ICT infrastructure~\cite{DBLP:journals/computer/AthavaleBBMMPS24}.
+		However, DCDT's are still actively developed and lack crucial features such as predictive analytics~\cite{DBLP:usdoe/report/AP26894} to \emph{e.g.,} prevent unexpected failures.
+		With predictive analysis (\emph{e.g.,} regression) DCDT's could save millions of lost \$USD~\cite{DBLP:conf/acsos/TalluriOVTI21}.
 	\end{tcolorbox}
 
 	\begin{center}
@@ -61,7 +54,17 @@
 	\end{tcolorbox}
 \end{frame}
 
-\begin{frame}\frametitle{\textbf{RQ1}: System Model}
+
+\begin{frame}\frametitle{\textbf{RQ1}: Literature Review I}
+	\begin{tcolorbox}[title=Results]
+		This is a dummy sentence meant to make the tcolorbox have more than 2 lines of text width so that I am able to show the text and the table spacing better.
+		I hope it fits its purpose well.
+	\end{tcolorbox}
+	\input{images/table.tex}
+\end{frame}
+
+\begin{frame}\frametitle{\textbf{RQ1}: Literature Review II}
+	% Mandatory: split the figure into 2: top and bottom, and that way you can fill in the entire slide nicely.
 	\begin{minipage}[b]{0.45\linewidth}
 		\begin{center}
 			\includegraphics[width=1.15\textwidth]{images/system_model.pdf}
@@ -71,30 +74,11 @@
 	\end{minipage}
 	% Consider splitting the figure into 2 a.k.a. top and bottom.
 	% Data Lake -> Data Storage
-	\hfill
-	\begin{minipage}[b]{0.45\linewidth}
-		\begin{tcolorbox}[title=Contribution 1]
-			Duis non quam. Maecenas vi-
-			tae dolor in ipsum auctor vehicula.
-			Vivamus nec nibh eget wisi varius
-			pulvinar. Cras a lacus. Etiam et
-			massa. Donec in nisl sit amet dui
-			imperdiet vestibulum. Duis porttitor
-			nibh id eros.
-		\end{tcolorbox}
-		\begin{tcolorbox}[title=Contribution 2]
-			\ipsum[1]
-		\end{tcolorbox}
-		% The ugly \vspace is a quick fix to align the observations.
-		\vspace{0.2cm}
-	\end{minipage}
 \end{frame}
 
-
 \begin{frame}\frametitle{\textbf{RQ2}: Reference Architecture}
 \end{frame}
 
-
 \begin{frame}\frametitle{\textbf{RQ3}: Experimental Results I}
 	\begin{tcolorbox}[title=Main Finding I]
 		Here explain what did you find.
-- 
cgit v1.2.3

