From 95abbb9948ab7c8d4fe62aa9284c2abeced0515b Mon Sep 17 00:00:00 2001
From: mjkwiatkowski <mati.rewa@gmail.com>
Date: Sat, 11 Jul 2026 16:43:45 +0200
Subject: feat: completed the second iteration over the introduction and
 conclusion

---
 content/evaluation.tex | 18 ++++++------------
 1 file changed, 6 insertions(+), 12 deletions(-)

(limited to 'content/evaluation.tex')

diff --git a/content/evaluation.tex b/content/evaluation.tex
index 8f587d1..b17fd9d 100644
--- a/content/evaluation.tex
+++ b/content/evaluation.tex
@@ -23,7 +23,7 @@
 \begin{figure}[t]
 	\centering
 	\includegraphics[width=0.8\linewidth]{images/novel_eval_method.png}
-	\caption{A novel evaluation method which solves the issue of real-world experimentation, which is unsustainable and costly~\cite{DBLP:conf/ccgrid/MastenbroekAJLB21}.}
+	\caption[A novel evaluation method proposal.]{A novel evaluation method which solves the issue of real-world experimentation, which is unsustainable and costly~\cite{DBLP:conf/ccgrid/MastenbroekAJLB21}.}
 	\label{fig:novel_eval_method}
 \end{figure}
 
@@ -72,7 +72,7 @@ We believe the deviation in the results of the experiments stemming only from th
 \begin{figure}[t]
 	\centering
 	\includegraphics[width=0.8\linewidth]{images/red_yellow_alarms.pdf}
-	\caption{The results of Experiment 1. \textcolor{Orange}{\ding{110} \textbf{\sffamily Red Alarms}} signify 90\% of acceptable failure threshold was reached. \textcolor{Goldenrod}{\ding{110} \textbf{\sffamily Yellow Alarms}} signify 80\% of the threshold was reached.}
+	\caption[The results of Experiment 1.]{The results of Experiment 1. \textcolor{Orange}{\ding{110} \textbf{\sffamily Red Alarms}} signify 90\% of acceptable failure threshold was reached. \textcolor{Goldenrod}{\ding{110} \textbf{\sffamily Yellow Alarms}} signify 80\% of the threshold was reached.}
 	\label{fig:red_yellow_alarms}
 \end{figure}
 
@@ -97,7 +97,7 @@ Importantly, the more failure-intense the trace, the more alarms are raised on b
 \begin{figure}[t]
 	\centering
 	\includegraphics[width=0.8\linewidth]{images/alarms_vs_failures.pdf}
-	\caption{Comparison between the total number of raised alarms and the ground truth failure distribution during a BitBrains workload in the SURF-SARA cluster. The failure traced used in this experiment models Gmail outage reports~\cite{DBLP:journals/tpds/TalluriNCKCBI26}.}
+	\caption[Total number of failures versus numbe rof alarms raised.]{Comparison between the total number of raised alarms and the ground truth failure distribution during a BitBrains workload in the SURF-SARA cluster. The failure traced used in this experiment models Gmail outage reports~\cite{DBLP:journals/tpds/TalluriNCKCBI26}.}
 	\label{fig:alarms_vs_failures}
 \end{figure}
 
@@ -114,7 +114,7 @@ In our experiment, the numbers differ significantly.
 \begin{figure}[t]
 	\centering
 	\includegraphics[width=0.8\linewidth]{images/failure_detecton_rate.pdf}
-	\caption{In this figure we show the total failure detection rate (\textcolor{Thistle}{\ding{110} \textbf{\sffamily Red + Yellow Alarms / Total Failures}}).
+	\caption[Failure detection rate overview.]{In this figure we show the total failure detection rate (\textcolor{Thistle}{\ding{110} \textbf{\sffamily Red + Yellow Alarms / Total Failures}}).
 		Our results are much different from DyTwin's performance~\cite{DBLP:conf/sc/TaheriBPRHDEWPM24}.
 		We believe this is due to the irreconcilable differences between our experimental setups.}
 	\label{fig:failure_detecton_rate}
@@ -143,17 +143,11 @@ In this section we try to show \mysystem can additionally work well together wit
 		\centering
 		\includegraphics[width=1.2\linewidth]{images/conceptual_experiment.pdf}
 	\end{minipage}
-	\caption{Left figure shows the potential failure distribution likelihood to approximate the true failure distribution.
+	\caption[The results of Experiment 2.]{Left figure shows the potential failure distribution likelihood to approximate the true failure distribution.
 		Right figure shows the results of the conceptual experiment to show the \emph{potential} gains of employing a good predictive analytics engine with \mysystem.}
 	\label{fig:failure_likelihood}
 \end{figure}
-\begin{figure}[ht]
-	\centering
-	\includegraphics[width=\linewidth]{images/failure_models_table.png}
-	\caption{The failure models table, by Javadi \etal~\cite{DBLP:journals/jpdc/JavadiKIE13}.}
-	\label{tab:failure_models_table}
-\end{figure}
-
+\input{sources/failure_models.tex}
 
 \subsection{Context}\label{sss:context_experiment2}
 In order to predict when a host failure might occur, the most straightforward approach is to use long-established statistical methods.
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