From ee72786e62f74062204f8830aa965131a5c0686d Mon Sep 17 00:00:00 2001
From: mjkwiatkowski <mati.rewa@gmail.com>
Date: Sun, 28 Jun 2026 18:17:23 +0200
Subject: feat: added the last figure

---
 script/main.tex | 34 +++++++++++++++++++++++++++++-----
 1 file changed, 29 insertions(+), 5 deletions(-)

(limited to 'script/main.tex')

diff --git a/script/main.tex b/script/main.tex
index a524e96..8acb153 100644
--- a/script/main.tex
+++ b/script/main.tex
@@ -1,5 +1,6 @@
 \documentclass[12pt, a4paper]{article}
 \usepackage{palatino, enumitem, parskip, xspace}
+\usepackage[top=1.5cm, bottom=1.5cm, left=2cm, right=2cm]{geometry}
 \usepackage[dvipsnames]{xcolor}
 \newcommand{\eg}{\emph{e.g.,}\xspace}
 \newcommand{\todo}[1]{\textcolor{Blue}{\textbf{TODO(#1)}}}
@@ -18,8 +19,6 @@
 	      As you know and as you will likely see in the upcoming presentations today, datacenters are important.
 	      But, I would like to shortly mention this myself.
 
-
-
 	      A single GPU is already very complex.
 	      Within a Google Datacenter, there are hundreds of server racks, with tens of such GPUs.
 	      This begs the question: How are we going to manage this large of a datacenter, that has so many \emph{layers of complexity}?
@@ -41,16 +40,41 @@
 
 	\item \textbf{Research Questions}\\
 	      We wish to enable the development of predictive analysis components for DCDT's by designing a predictive DCDT.
-	      We ask the following research questions. \todo{Read from slide boxes.}
+	      We ask the following research questions. \todo{Read from slide boxes and explain for each (1) describe why it's important (2) say why it's challenging (3) say what makes it scientific.}
 
 	\item \textbf{Literature Survey}\\
+	      This is the most exciting part of the thesis for me.
+	      To answer \textbf{RQ1} we conduct a comprehensive literature survey.
+	      We did not conduct the systematic literature survey by Kitchenham \etal, instead we relied heavily on snowballing and manual search for works in Google Scholar and DBLP.
+
+	      Google Scholar referred us to ACM Digital Library, IEEExplore, Science Direct and others.
+	      We used structured queries such a ``datacenters'' \texttt{AND} ``digital twinning'' or plainly ``datacenter digital twins''.
+
+	      To filter out relevant work we read the abstract, introduction and conclusion and afterwards decided whether to include the article.
+	      The results are in \textbf{Table 1.1}.
+	      \todo{"Read the slide box."}
 	\item \textbf{System Model}\\
+	      We also created a holistic system model of DCDTs.
+	      We decided to make a system model instead of a taxonomy, because we discuss the design of a set of systems, and there are not that many to consider making a full \emph{Linnaeus} tree and a taxonomy.
+
+	      The system model is in \textbf{Fig. 1.3}, and what I found to be the most interesting while reading the literature was the lack of the connection between the two twins.
+	      As such, what makes this design special is the \emph{Digital Thread}.      \todo{Read the slide box.}
 
 	\item \textbf{Reference Architecture and Prototype}\\
-	      A reference architecture.
-	      The design is more specific than the reference architecture.
+	      From the literature survey, we gathered the potential use-cases of our system, which we omit for brevity.
+	      From the use-cases we developed as set of functional and non-functional requirements, based on which we created the reference architecture.
+
+	      The most innovative part of the data pipeline is the use of both in-band and out-of-band data pipelines, by including both a short-term cache and a long-term database.
+
+	      The most interesting thing that I devised myself, is the predictive analytics component.
+	      \todo{Go through the elements in the plot.}
+
+	      Given this reference architecture, we created a prototype, called \emph{Sunfish}.
+	      We evaluate this prototype in the following slides.
+
 
 	\item \textbf{Novel Evaluation Method}\\
+	      Now we go to the most difficult part.
 	      In order to evaluate a prototype, we propose a novel approach.
 	      Many researchers do not have a real facility to experiment with.
 	      We propose to use a second simulator to act as the real datacenter.
-- 
cgit v1.2.3

