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| -rw-r--r-- | appendix/glossary.tex | 2 | ||||
| -rw-r--r-- | content/intro.tex | 17 | ||||
| -rw-r--r-- | style/first-page.tex | 2 |
3 files changed, 16 insertions, 5 deletions
diff --git a/appendix/glossary.tex b/appendix/glossary.tex index 9505995..17ae4e4 100644 --- a/appendix/glossary.tex +++ b/appendix/glossary.tex @@ -12,4 +12,4 @@ \newacronym{iot}{IoT}{Internet-of-Things} \newacronym{ed}{EDT}{ExaDigiT} \newacronym{rl}{RL}{Reinforcement Learning} -\newacronym{my_system}{DF}{DigiFuture} +\newacronym{my_system}{SF}{\emph{Sunfish}} diff --git a/content/intro.tex b/content/intro.tex index 6af41d7..ecf4c84 100644 --- a/content/intro.tex +++ b/content/intro.tex @@ -130,11 +130,22 @@ We define the correct experiment setup(s) and perform the experiments on a speci \section{Thesis Contributions}\label{s:thesis-contributions} +\subsection{Conceptual Contributions}\label{ss:conceptual_contributions} + + +\begin{enumerate}[label=\emph{C\textsubscript{\arabic*}}, align=left, labelsep=0pt] + \item We conduct a systematic literature review and detailed analysis of existing \gls{dcdt}'s in the scientific community. + We collect and organize the \gls{dcdt}'s characteristics and based on our findings we propose a unified system model of the design space. + \item We propose the design of a discrete-event \gls{dcdt} for reliable and timely failure prediction in datacenters. + The conceptual design of the predictive \gls{dcdt} proposes a set of system components which leverage operational data analysis and discrete-event simulation. +\end{enumerate} + +\subsection{Technical Contributions}\label{ss:technical_contributions} \begin{enumerate}[label=\emph{C\textsubscript{\arabic*}}, align=left, labelsep=0pt] - \item An open-source \gls{dcdt} prototype for predictive facility maintenance, with data analysis supported by in-band and out-of-band telemetry and discrete-event simulation. - \item Extensive evaluation and validation experiments of the system. - \item Demonstration of the \gls{dcdt} in pair with a simulated datacenter. + \item We prototype \gls{my_system} following the established \gls{dt} design principles using discrete-event simulation and \gls{oda}. + \item We evaluate the predictive \gls{dcdt} prototype using a novel experimentation technique and datacenter workload traces from the industry. + We design a method to evaluate \gls{dcdt}'s without the overhead of real-world computation, conduct a set of experiments and analyse the results. \end{enumerate} \section{Plagiarism Declaration}\label{s:plagiarism-declaraion} diff --git a/style/first-page.tex b/style/first-page.tex index f43dcbf..60f34d4 100644 --- a/style/first-page.tex +++ b/style/first-page.tex @@ -14,7 +14,7 @@ \vspace*{1.5cm} \rule{.9\linewidth}{.6pt}\\[0.4cm] - {\huge \bfseries \emph{DigiFuture}: Enabling Predictive Analytics for Datacenters Through Digital Twinning \par}\vspace{0.4cm} + {\huge \bfseries \emph{Sunfish}: Enabling Predictive Analytics for Datacenters Through Digital Twinning \par}\vspace{0.4cm} \rule{.9\linewidth}{.6pt}\\[1.5cm] \vspace*{2mm} |