From f062b0967b126c80af7968aebd7db3b0e5779f7a Mon Sep 17 00:00:00 2001
From: mjkwiatkowski <mati.rewa@gmail.com>
Date: Mon, 22 Jun 2026 08:54:23 +0200
Subject: feat: added an additional slide for experimental setup

---
 main.tex | 26 +++++++++++++++++++++++---
 1 file changed, 23 insertions(+), 3 deletions(-)

(limited to 'main.tex')

diff --git a/main.tex b/main.tex
index b5e76fe..051d295 100644
--- a/main.tex
+++ b/main.tex
@@ -103,14 +103,34 @@
 		\end{center}
 		\vspace{-0.2cm}
 		\tiny
-		\textbf{Figure 1.4:} The predictive datacenter digital twin architecture. The time-series data flows initially to the \texttt{Kibana} dashboard, \texttt{PostgreSQL} database and \texttt{Redis} cache, as suggested in~\cite{DBLP:conf/sc/TaheriBPRHDEWPM24}.
-	\end{minipage}
+		\textbf{Figure 1.4:} The predictive datacenter digital twin architecture. 	\end{minipage}
 	% We decided to use discrete-event simulation, as opposed to computational fluid dynamics because of the high overheads of development time needed for CFD.
 	% CFD simply takes too long to run, making it unfeasible for real-time analytics and simulation.
 	% Citing ExaDigit: [CFD] they are also more computationally expensive, generally making real-time operation unfeasible.
 	% Consider adding this minipage directly to the ``draw.io'' diagram
 \end{frame}
 
+\begin{frame}\frametitle{\textbf{RQ3}: Experimental Setup}
+	\begin{minipage}[b]{0.45\linewidth}
+		\begin{center}
+			\includegraphics[width=1.2\linewidth]{images/predictive_analyticsv2.pdf}
+		\end{center}
+		\vspace{-0.3cm}
+		\tiny
+		\textbf{Figure 1.5:} Evaluating DCDTs is difficult. To answer \textbf{RQ3} we provide a novel way to evaluate datacenter digital twins through discrete-event simulation.
+	\end{minipage}
+	\hfill
+	\begin{minipage}[b]{0.45\linewidth}
+		\begin{center}
+			\includegraphics[width=0.7\linewidth]{images/scrs.jpg}
+		\end{center}
+		\vspace{-0.2cm}
+		\tiny
+		\textbf{Figure 1.6:} The software stack used to implement \emph{Sunfish}.
+		The time-series data flows initially to the \texttt{Grafana} dashboard, \texttt{PostgreSQL} database and \texttt{Redis} cache, as suggested in~\cite{DBLP:conf/sc/TaheriBPRHDEWPM24}.
+	\end{minipage}
+\end{frame}
+
 \begin{frame}\frametitle{\textbf{RQ3}: Experimental Results I}
 	\begin{tcolorbox}[title=Main Finding I]
 		On average, \emph{Sunfish} achieves 12.17\% less failures per task than baseline (OpenDC).
@@ -162,7 +182,7 @@
 
 \end{frame}
 
-\setcounter{framenumber}{3}
+\setcounter{framenumber}{4}
 \setbeamertemplate{footline}[page number]{
 
 % Unfortunately this must remain here.
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