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@@ -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. |