From 6e649e5c4e9c19934b729c02f0ecc44400fc5e60 Mon Sep 17 00:00:00 2001
From: mjkwiatkowski <mati.rewa@gmail.com>
Date: Wed, 10 Jun 2026 10:17:01 +0200
Subject: fix: removed the last slide

---
 main.tex | 16 +++-------------
 1 file changed, 3 insertions(+), 13 deletions(-)

(limited to 'main.tex')

diff --git a/main.tex b/main.tex
index c6011ce..644eeaa 100644
--- a/main.tex
+++ b/main.tex
@@ -136,18 +136,8 @@
 	\tiny \textbf{Figure E.3:} Real-time control that is tightly-coupled with the IT equipment is a prerequisite for timely predictions within seconds/minutes~\cite{DBLP:journals/computer/AthavaleBBMMPS24}.
 \end{frame}
 
-
-\begin{frame}\frametitle{Extra Slides: Alternatives to OpenDC}
-	\begin{tcolorbox}[title=Why not CFD/ML/Graphs?]
-		\begin{enumerate}
-			\item Computational Fluid Dynamics (CFD) have high computation overhead, unsuitable for real-time simulation of a dynamic datacenter.
-			      Moreover oftentimes a poorly configured CFD model can lead to high error rates~\cite{DBLP:conf/sensys/WangZD0TCWZ20}.
-
-			\item Data-driven Machine Learning performs poorly by the cases not covered in the training data.
-
-
-		\end{enumerate}
-	\end{tcolorbox}
-\end{frame}
+% Computational Fluid Dynamics (CFD) have high computation overhead, unsuitable for real-time simulation of a dynamic datacenter.
+%Moreover oftentimes a poorly configured CFD model can lead to high error rates~\cite{DBLP:conf/sensys/WangZD0TCWZ20}.
+%Data-driven Machine Learning performs poorly by the cases not covered in the training data.
 
 \end{document}
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