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 	\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}