From 3047571d1d24beae5075264764c2af8a389af841 Mon Sep 17 00:00:00 2001 From: mjkwiatkowski Date: Tue, 2 Jun 2026 21:06:38 +0200 Subject: feat: fixed the plagiarism declaration --- content/intro.tex | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/content/intro.tex b/content/intro.tex index 6b92521..f221e01 100644 --- a/content/intro.tex +++ b/content/intro.tex @@ -83,22 +83,22 @@ We propose that digital twinning can be enhanced by integrating predictive analy \section{Research Questions}\label{s:research-questions} -\textbf{Main Research Question} How to define, design and evaluate a predictive \gls{dcdt}?\\ +\emph{Main Research Question:} How to define, design and evaluate a predictive \gls{dcdt}?\\ \noindent We divide the problem of designing a predictive \gls{dcdt} into three research questions: -\begin{enumerate}[label=\textbf{RQ\arabic*.}, align=left] - \item \textbf{How to define a \gls{dcdt}?}\\ +\begin{enumerate}[label=\emph{RQ\textsubscript{\arabic*}}, align=left] + \item \emph{How to define a \gls{dcdt}?}\\ There is currently a lack of a unified definition of what constitutes a \gls{dcdt}, and the differences between a \gls{dcdt} and a generic \gls{dt}. It is necessary that we establish a common definition of a \gls{dcdt} in the research community. We must develop a holistic \gls{dcdt} model that factors in the necessary components of a \gls{dt}. This is very challenging, because the \gls{dcdt} definition must address many kinds of operational and technical requirements, compatible with the existing background on \gls{dt}'s. - \item \textbf{How to design a \gls{dcdt} system model using discrete-event simulation and predictive data analysis?} + \item \emph{How to design a \gls{dcdt} system model using discrete-event simulation and predictive data analysis?}\\ Existing \gls{dcdt} frameworks lack the necessary predictive capabilities to prevent unplanned behaviour in datacenters. In this work, we aim to explore the design space of a predictive \gls{dcdt} and the different design trade-offs. Through discrete-event simulation, we aim provide the foundation for the system model to interact with a physical datacenter. This is a very challenging task, because there are many functional and non-functional requirements of a \gls{dcdt} that need careful consideration. The architecture must comply with the generic \gls{dt} model and address the non-trivial challenges in operating a modern datacenter. - \item \textbf{How to evaluate and validate a \gls{dcdt} model in relation to system requirements}? + \item \emph{How to evaluate and validate a \gls{dcdt} model in relation to system requirements}?\\ To understand the operation of the proposed system and whether it meets its design goals we need to measure it's performance. This is a challenging and non-trivial task that requires a careful design of a set of experiments that realistically show datacenter digital twin workings. @@ -119,7 +119,7 @@ To answer the third research question, we will need to design comprehensive expe \section{Thesis Contributions}\label{s:thesis-contributions} -\begin{enumerate}[label=\textbf{C\arabic*.}, align=left] +\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. @@ -127,7 +127,10 @@ To answer the third research question, we will need to design comprehensive expe \section{Plagiarism Declaration}\label{s:plagiarism-declaraion} I hereby declare that this thesis is my own independent work and writing. -The thesis does not contain any material copied from other sources (person, Internet, or AI), and has not been submitted for assessment elsewhere. +The thesis does not contain any material copied from other sources (person, Internet, or \gls{ai}), and has not been submitted for assessment elsewhere. +I acknowledge that the usage of material from other works or paraphrase of such material without proper citations or credit will be treated as plagiarism. +I declare that this thesis is free from \gls{ai} generated content and has been written without the help of any \gls{ai} systems. +This work adheres to the guidelines and principles of the Artificial Intelligence Policy, UC Berkeley School of Law, Summer 2026\footnote{\url{https://www.law.berkeley.edu/wp-content/uploads/2026/05/AI-Final-Policy-26.pdf}}{}. \section{Societal Impact}\label{s:societal-impact} -- cgit v1.2.3