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authormjkwiatkowski <mati.rewa@gmail.com>2026-06-25 14:51:46 +0200
committermjkwiatkowski <mati.rewa@gmail.com>2026-06-25 14:51:46 +0200
commitbe3c3a30b13ad152d2ce49fecf60d68c7b44d3cf (patch)
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parent89d06c029d081e462580a4b346131c8008908e14 (diff)
fix: git is awful
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+++ b/main.tex
@@ -11,7 +11,7 @@
In result datacenters become extremely complex and hard to operate with millions of CPU's, GPU's etc.
\end{tcolorbox}
\begin{center}
- \includegraphics[width=\linewidth]{images/datacenter_complexity.pdf}
+ \includegraphics[width=\linewidth]{images/datacenter_complexity.png}
\end{center}
\tiny
\textbf{Figure 1.1:} Society depends on datacenters to keep running, and therefore we cannot afford to let these systems break down or experience significant performance-related issues.
@@ -49,18 +49,19 @@
\end{tcolorbox}
\begin{tcolorbox}[title=Research Question 3]
- How to evaluate and validate a datacenter digital twin architecture in relation to system requirements?
+ % no "and validate?"
+ How to evaluate a datacenter digital twin architecture in relation to system requirements?
\end{tcolorbox}
\end{frame}
-
\begin{frame}\frametitle{\textbf{RQ1}: Literature Review I}
- \begin{tcolorbox}[title=Results]
+ \begin{tcolorbox}[title=Main Finding]
The literature on DCDTs is scarce.
Some systems barely classify as DTs (\emph{e.g.,} Kalibre~\cite{DBLP:conf/sensys/WangZD0TCWZ20}, ChatTwin~\cite{DBLP:conf/sensys/LiW0Z0T23}).
Existing deployments specialize in \textcolor{Red}{Cooling and Heat Modelling}, together with \textcolor{Red}{3D visualizations}.
Most lack predictive modelling of DC operations.
\end{tcolorbox}
+ \vspace{-0.1cm}
\input{images/table.tex}
% Research on DTs for datacenters have been separate, siloed efforts focused on either datacenter cooling, network performance, power consumption or visualization efforts.
% CFD usually means Navier-Stokes equations.
@@ -71,7 +72,7 @@
% Mandatory: split the figure into 2: top and bottom, and that way you can fill in the entire slide nicely.
\begin{tcolorbox}[title=A holistic DCDT system model]
- We propose a generic model of datacenter digital twinning that can be mapped to each system from \textbf{Table 1.1}. Within this model (see \textbf{Fig. 1.3}) we introduce a concept of the \emph{Digital Thread}: a bridge between the DC digital twin and the physical DC equipment.
+ We propose a generic model of datacenter digital twinning that can be mapped to each system from \textbf{Table 1.1}. Within this model (see \textbf{Fig. 1.3}) we introduce a concept of the \emph{Digital Thread}: a bridge between the DCDT and the physical DC equipment.
\end{tcolorbox}
\begin{center}
\vspace{-0.1cm}
@@ -111,8 +112,9 @@
\end{center}
\vspace{-0.2cm}
\tiny
- \textbf{Figure 1.5:} The prototype based on \textbf{Figure 1.4} towards answering \textbf{RQ3}.
- The time-series data flows first to the \texttt{Grafana} dashboard, \texttt{PostgreSQL} database and \texttt{Redis} cache, as advised in~\cite{DBLP:conf/sc/TaheriBPRHDEWPM24}.
+ \textbf{Figure 1.5:} The prototype components based on \textbf{Figure 1.4}.
+ The time-series data flows first to the \texttt{Grafana} dashboard, \texttt{PostgreSQL} database and \texttt{Redis} cache~\cite{DBLP:conf/sc/TaheriBPRHDEWPM24}.
+ \vspace{0.2cm}
\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.
@@ -184,28 +186,27 @@
\begin{frame}\frametitle{Key Takeaways}
\begin{tcolorbox}[title=What is the societal context?]
-
+ Datacenter manageability is a top-priority for the digital society.
+ Over 3 million jobs in the Netherlands directly depend on cloud services, which are hosted in datacenters~\cite{DBLP:journals/corr/IosupKLVG22}.
\end{tcolorbox}
\begin{tcolorbox}[title=What problem did we solve?]
-
+ DCDT's, still under development, lack crucial features such as predictive analytics to manage datacenters well.
+ The entire DCDT design space remains largely unexplored.
\end{tcolorbox}
\begin{tcolorbox}[title=How did we solve this problem?]
-
+ Our contributions are: a thorough literature survey with a system model, a DCDT reference architecture, and prototype-based experiments via a novel evaluation method.
\end{tcolorbox}
\begin{tcolorbox}[colbacktitle=red!70!black, colback=red!20!white,title=What did we find?]
-
- \end{tcolorbox}
-
- \begin{tcolorbox}[title=What do we see in future work?]
-
+ \emph{Sunfish} is able to detect around 20\% of unexpected failures based on discrete-event predictions, and can predict the most efficient scheduling policies for given workloads.
\end{tcolorbox}
-
+ % Mandatory to mention here the future work that you see happening.
+ % Not enough space for another tcolorbox.
\end{frame}
-\setcounter{framenumber}{4}
+\setcounter{framenumber}{5}
\setbeamertemplate{footline}[page number]{
% Unfortunately this must remain here.
@@ -223,24 +224,6 @@
\bibliography{main.bib}
\end{frame}
-\begin{frame}\frametitle{Extra Slides: Societal Impact}
- \begin{tcolorbox}[title=Why is this research important today?]
- Over 3 million jobs in the Netherlands directly depend on cloud services, which are hosted in datacenters~\cite{DBLP:journals/corr/IosupKLVG22}.
- Already the rapid
- expansion of datacenters has increased the presence of service failures across all cloud
- services~\cite{DBLP:conf/acsos/TalluriOVTI21}.
- We need to act now.
- \end{tcolorbox}
- \begin{center}
- \includegraphics[height=10em]{images/manageability.pdf}
- \end{center}
- \tiny
- \textbf{Figure E.1:} Horizontally: the most important research areas in computer science in Netherlands.
- Vertically: qualities we should ensure across all research areas with the most outstanding impact on society.
- Datacenter manageability is a top-priority~\cite{DBLP:journals/corr/IosupKLVG22}.
-\end{frame}
-
-
\begin{frame}\frametitle{Extra Slides: Why Digital Twinning?}
\begin{tcolorbox}[title=Definition]
A DCDT mirrors the structure, context and behaviour of a datacenter~\cite{DBLP:journals/computer/AthavaleBBMMPS24}. The prerequisite to any digital twin is good monitoring and sensing capabilities in the physical entity.