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| author | mjkwiatkowski <mati.rewa@gmail.com> | 2026-06-17 15:02:47 +0200 |
|---|---|---|
| committer | mjkwiatkowski <mati.rewa@gmail.com> | 2026-06-17 15:02:47 +0200 |
| commit | 77d25be8f2b2a1db89849e20b1feed47d4261044 (patch) | |
| tree | 1c54b07ff43c7293ecd94d197935105529bacef6 /main.tex | |
| parent | 5840bedcffbf2970330be5d242ec58d3aaa34030 (diff) | |
Diffstat (limited to 'main.tex')
| -rw-r--r-- | main.tex | 48 |
1 files changed, 16 insertions, 32 deletions
@@ -19,19 +19,12 @@ Left to right: a Google datacenter, server racks, Ada Lovelace AD102 GPU architecture. \end{frame} -\begin{frame}\frametitle{Problem Statement I} - \begin{tcolorbox}[title=We need tools to tackle datacenter complexity] - We need Datacenter Digital Twins (DCDT) to be better able to detect and solve issues in this critical infrastructure~\cite{DBLP:journals/computer/AthavaleBBMMPS24}. - However, DCDT's are still actively developed, and lack crucial features such as predictive analytics~\cite{DBLP:usdoe/report/AP26894} to \emph{e.g.,} prevent unexpected job failures. - \end{tcolorbox} - \input{images/table.tex} -\end{frame} -\begin{frame}\frametitle{Problem Statement II} - \begin{tcolorbox}[title=What are predictive analytics? Why are they important?] - Predictive analytics use statistics to predict events in advance. - Almost any statistical technique can be used for predictive analytics, but nowadays it is mostly associated with Artificial Intelligence and Machine Learning (\emph{e.g.,} linear regression). - Reducing \emph{e.g.,} job failures with timely predictions could potentially save millions of \$USD~\cite{DBLP:conf/acsos/TalluriOVTI21}. +\begin{frame}\frametitle{Problem Statement} + \begin{tcolorbox}[title=DCDT's lack predictive analytics] + We need Datacenter Digital Twins (DCDT) to be better able to detect and solve issues in critical ICT infrastructure~\cite{DBLP:journals/computer/AthavaleBBMMPS24}. + However, DCDT's are still actively developed and lack crucial features such as predictive analytics~\cite{DBLP:usdoe/report/AP26894} to \emph{e.g.,} prevent unexpected failures. + With predictive analysis (\emph{e.g.,} regression) DCDT's could save millions of lost \$USD~\cite{DBLP:conf/acsos/TalluriOVTI21}. \end{tcolorbox} \begin{center} @@ -61,7 +54,17 @@ \end{tcolorbox} \end{frame} -\begin{frame}\frametitle{\textbf{RQ1}: System Model} + +\begin{frame}\frametitle{\textbf{RQ1}: Literature Review I} + \begin{tcolorbox}[title=Results] + This is a dummy sentence meant to make the tcolorbox have more than 2 lines of text width so that I am able to show the text and the table spacing better. + I hope it fits its purpose well. + \end{tcolorbox} + \input{images/table.tex} +\end{frame} + +\begin{frame}\frametitle{\textbf{RQ1}: Literature Review II} + % Mandatory: split the figure into 2: top and bottom, and that way you can fill in the entire slide nicely. \begin{minipage}[b]{0.45\linewidth} \begin{center} \includegraphics[width=1.15\textwidth]{images/system_model.pdf} @@ -71,30 +74,11 @@ \end{minipage} % Consider splitting the figure into 2 a.k.a. top and bottom. % Data Lake -> Data Storage - \hfill - \begin{minipage}[b]{0.45\linewidth} - \begin{tcolorbox}[title=Contribution 1] - Duis non quam. Maecenas vi- - tae dolor in ipsum auctor vehicula. - Vivamus nec nibh eget wisi varius - pulvinar. Cras a lacus. Etiam et - massa. Donec in nisl sit amet dui - imperdiet vestibulum. Duis porttitor - nibh id eros. - \end{tcolorbox} - \begin{tcolorbox}[title=Contribution 2] - \ipsum[1] - \end{tcolorbox} - % The ugly \vspace is a quick fix to align the observations. - \vspace{0.2cm} - \end{minipage} \end{frame} - \begin{frame}\frametitle{\textbf{RQ2}: Reference Architecture} \end{frame} - \begin{frame}\frametitle{\textbf{RQ3}: Experimental Results I} \begin{tcolorbox}[title=Main Finding I] Here explain what did you find. |
