From b5111b6e512dc8c27b84ed785c74b4e728a591ee Mon Sep 17 00:00:00 2001
From: mjkwiatkowski <mati.rewa@gmail.com>
Date: Sun, 21 Jun 2026 11:20:14 +0200
Subject: feat: finished 1/2 of Table 1.1

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

(limited to 'main.tex')

diff --git a/main.tex b/main.tex
index ada40ac..7ce64ac 100644
--- a/main.tex
+++ b/main.tex
@@ -6,7 +6,7 @@
 
 \begin{frame}\frametitle{Motivation}
 	\begin{tcolorbox}[title=Context]
-		21\textsuperscript{st} century datacenters are primarily heterogeneous~\cite{DBLP:conf/date/MilojicicFDR21} and
+		21\textsuperscript{st} century datacenters (DC) are mostly heterogeneous~\cite{DBLP:conf/date/MilojicicFDR21} and
 		modern computational needs of AI drive managers to diversify datacenters even more~\cite{DBLP:journals/computer/AthavaleBBMMPS24}.
 		In result datacenters become extremely complex and hard to operate with millions of CPU's, GPU's etc.
 	\end{tcolorbox}
@@ -61,6 +61,7 @@
 		I hope it fits its purpose well.
 	\end{tcolorbox}
 	\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.
 \end{frame}
 
 \begin{frame}\frametitle{\textbf{RQ1}: Literature Review II}
@@ -73,11 +74,17 @@
 	\begin{center}
 		\includegraphics[width=0.8\textwidth]{images/system_model2.pdf}
 	\end{center}
+	% The reason why the cooling system is in the graph is because of the fact that 40\% of total energy consumed in DCs comes from cooling~\cite{DBLP:conf/noms/ZhangZLZWC22}.
+	% It has come to the point where datacenters are being build in the Pan-Arctic region, such as Finland,Russia,Sweden etc. with Iceland leading in number of DCs https://www.datacentermap.com/iceland/
+	% The SmarDC digital twin is purely to get more training data for AI models.
+	% Not really a digital twin per se.
 
 	\tiny
-	\textbf{Figure 1.3:} To answer \textbf{RQ1} we designed a generic datacenter digital twin system model based on a comprehensive literature review and findings from \textbf{Table 1.1}.
+	\textbf{Figure 1.3:} To answer \textbf{RQ1} we designed a generic datacenter digital twin system model based on a comprehensive literature review and findings from \textbf{Table 1.1}. The \emph{Infrastructure Model} simulates the structure of the DC and the \emph{Operations model} simulates the behaviour of the DC.
 	% Consider splitting the figure into 2 a.k.a. top and bottom.
+	% By the AIAA definition, the DT mimicks the structure and behaviour.
 	% Data Lake -> Data Storage
+	% Use cases of DT's found by Brewer et al.: augmented reality, forensic analysis and diagnostics, predictive modelling, failure detection, operational optimization, ``what-if''' scenarios and virtual prototyping.
 \end{frame}
 
 \begin{frame}\frametitle{\textbf{RQ2}: Reference Architecture}
@@ -87,9 +94,12 @@
 		\end{center}
 		\vspace{-0.2cm}
 		\tiny
-		\textbf{Figure 1.4:} The predictive datacenter digital twin architecture.
+		\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}
 	\hfill
+	% 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
 	\begin{minipage}[b]{0.42\linewidth}
 		\begin{tcolorbox}[title=Functional Req.]
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