From f38c8a1c816e7440cc44cc78ee258dd469b6bec7 Mon Sep 17 00:00:00 2001
From: mjkwiatkowski <mati.rewa@gmail.com>
Date: Fri, 26 Jun 2026 13:42:39 +0200
Subject: style: changed the captions to be a bit more straightforward

---
 main.tex | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

(limited to 'main.tex')

diff --git a/main.tex b/main.tex
index 700c64f..ad28005 100644
--- a/main.tex
+++ b/main.tex
@@ -102,7 +102,7 @@
 		\vspace{-0.15cm}
 		\tiny
 		\textbf{Figure 1.4:} The predictive datacenter digital twin reference architecture.
-		The architecture was designed with the \emph{AtLarge Design Process}~\cite{DBLP:conf/icdcs/IosupVTETBFMT19}.
+		The architecture was designed with the \emph{AtLarge Design Process}~\cite{DBLP:conf/icdcs/IosupVTETBFMT19} over several iterations in the past months.
 		\vspace{0.2cm}
 	\end{minipage}
 	\hspace{0.6cm}
@@ -112,7 +112,7 @@
 		\end{center}
 		\vspace{-0.2cm}
 		\tiny
-		\textbf{Figure 1.5:} The prototype components based on \textbf{Figure 1.4}.
+		\textbf{Figure 1.5:} The prototype -- \emph{Sunfish}, and its 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{0.1cm}
 	\end{minipage}
@@ -174,7 +174,7 @@
 		\vspace{-0.3cm}
 		\tiny
 		\textbf{Figure 1.7:} Experiment 1a. In this experiment we use red and yellow alarms to notify datacenter operators of unexpected failures.
-		We use a threshold based on predictions done by the simulator.
+		We use a threshold based on predictions done by the simulator and a statistical distribution.
 	\end{minipage}
 	\hspace{0.6cm}
 	\begin{minipage}[b]{0.45\linewidth}
@@ -183,7 +183,7 @@
 		\end{center}
 		\vspace{-0.3cm}
 		\tiny
-		\textbf{Figure 1.8:} Experiment 1b. The mean failure detection rate is around 15\%. Even though this seems low, if we look at \textbf{Fig. 1.9} (see extra slides), this simply means around 15\% of failures are unexpected.
+		\textbf{Figure 1.8:} Experiment 1b. The mean failure detection rate is around 15\%. Even though this seems low, if we look at \textbf{Fig. 1.9} (see Extra Slides), this simply means around 15\% of failures are unexpected.
 	\end{minipage}
 	% Explain what the axis are in the figure caption.
 	% Talk about the experimental setup in the figure.
-- 
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