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authormjkwiatkowski <mati.rewa@gmail.com>2026-06-10 10:17:01 +0200
committermjkwiatkowski <mati.rewa@gmail.com>2026-06-10 10:17:01 +0200
commit6e649e5c4e9c19934b729c02f0ecc44400fc5e60 (patch)
treed9ee686c0ac68ee92e5e4fc7e1a7fedc1a993066 /main.tex
parent9681bc07728c028638b8b3764053589adeb3bbe6 (diff)
fix: removed the last slide
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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}