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Diffstat (limited to 'main.tex')
| -rw-r--r-- | main.tex | 12 |
1 files changed, 6 insertions, 6 deletions
@@ -158,10 +158,9 @@ %If we had that in, we can reach these kinds of gains. % @Mateusz there is really not a possibility to incorporate CINECA's models, so to address Dante's feedback, I created this experiment. - \begin{tcolorbox}[title=Failure Detection: Main Finding I] - On average, \emph{Sunfish} can detect 14.5\% of unexpected failures in the physical twin. - We show, that digital twinning \emph{can} be used for failure detection. - + \begin{tcolorbox}[title=Validation] + We posit digital twinning can be used for failure detection to the benefit of DC operators. + We validate our system against DyTwin~\cite{DBLP:conf/sc/TaheriBPRHDEWPM24} designed by Milojicic \etal to show we achieve similar results. \end{tcolorbox} \begin{minipage}[b]{0.45\linewidth} \begin{center} @@ -178,8 +177,9 @@ \end{frame} \begin{frame}\frametitle{\textbf{RQ3}: Experimental Results II} - \begin{tcolorbox}[title=Scheduling Optimization: Main Finding II] - Here explain what did you find. + \begin{tcolorbox}[title=Evaluation] + Predictive analytics is core to digital twinning. We evaluate our system against the requirements (extra slides) by predicting an optimal scheduling policy. + During runtime, we make dynamic adjustments to the physical twin, if the scheduling results differ. \end{tcolorbox} \end{frame} |