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authormjkwiatkowski <mati.rewa@gmail.com>2026-06-21 17:02:14 +0200
committermjkwiatkowski <mati.rewa@gmail.com>2026-06-21 17:02:14 +0200
commit57c345d589180fbc84df57485a53f35da0a4a905 (patch)
treef3a3fe2bec34a7a8c6a4722d0ad24380d9e231f7
parenta493b539aa288b8edc9fe501256cf6e0fc8322ca (diff)
style: added visual guides to table 1.1 for better readability
-rw-r--r--build/main.fdb_latexmk20
-rw-r--r--build/main.log12
-rw-r--r--build/main.pdfbin5503641 -> 5504351 bytes
-rw-r--r--build/main.synctex.gzbin54930 -> 56323 bytes
-rw-r--r--images/table.tex21
-rw-r--r--indent.log2
-rw-r--r--main.tex2
7 files changed, 29 insertions, 28 deletions
diff --git a/build/main.fdb_latexmk b/build/main.fdb_latexmk
index 58dab98..2ef6b12 100644
--- a/build/main.fdb_latexmk
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(generated)
"build/main.bbl"
"build/main.blg"
(rewritten before read)
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"images/digital_twin_ms.pdf" 1781078756.05606 174463 377f3c625c4f63c8c509df84e9b2bf36 ""
@@ -313,10 +313,10 @@
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"build/main.aux"
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diff --git a/build/main.log b/build/main.log
index 87d3395..aee2f6a 100644
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+++ b/build/main.log
@@ -1,4 +1,4 @@
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entering extended mode
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Here is how much of TeX's memory you used:
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diff --git a/build/main.pdf b/build/main.pdf
index b600724..c6a681a 100644
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+++ b/build/main.pdf
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diff --git a/build/main.synctex.gz b/build/main.synctex.gz
index 7f01f3b..60f23a1 100644
--- a/build/main.synctex.gz
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diff --git a/images/table.tex b/images/table.tex
index 6000991..630763d 100644
--- a/images/table.tex
+++ b/images/table.tex
@@ -1,30 +1,31 @@
+\vspace{-0.2cm}
\begin{table}
\tiny
\resizebox{\columnwidth}{!}{
\begin{tabular}{lm{0.2\linewidth}m{0.25\linewidth}m{0.3\linewidth}l}
\toprule
- Project & Simulation Technique & Focus & Stakeholders & Modelling Capability \\
+ Project & Simulation Technique & Focus & Stakeholders & Modelling Capability \\
\midrule
- ExaDigiT~\cite{DBLP:conf/sc/BrewerMKWBHSGGW24} & CFD/HT, AI/ML & Energy Loss\newline Prediction, Heat\newline Modelling & HPC Engineers and Operators & 3D\textsuperscript{$\star$}, CH\textsuperscript{$\dingasterisk$}, VP\textsuperscript{$\star$}, PE\textsuperscript{$\dingasterisk$}, RA, SE\textsuperscript{$\thermod$} \\
+ ExaDigiT~\cite{DBLP:conf/sc/BrewerMKWBHSGGW24} & CFD/HT, AI/ML & Energy Loss\newline Prediction,\newline \fcolorbox{Red}{white}{Heat Modelling} & HPC Engineers and Operators & \fcolorbox{Red}{white}{3D\textsuperscript{$\star$}}, \fcolorbox{Red}{white}{CH\textsuperscript{$\dingasterisk$}}, VP\textsuperscript{$\star$}, PE\textsuperscript{$\dingasterisk$}, RA, SE\textsuperscript{$\thermod$} \\
\midrule
- SmartDC~\cite{DBLP:conf/noms/ZhangZLZWC22} & CFD/HT, BIM, AI/ML & Heat Modelling,\newline PUE optimization & Cloud Datacenter Engineers & CH\textsuperscript{$\thermod$}, PE, 3D\textsuperscript{$\star$} \\
+ SmartDC~\cite{DBLP:conf/noms/ZhangZLZWC22} & CFD/HT, BIM, AI/ML & \fcolorbox{Red}{white}{Heat Modelling},\newline PUE optimization & Cloud Datacenter Engineers & \fcolorbox{Red}{white}{CH\textsuperscript{$\thermod$}}, PE, \fcolorbox{Red}{white}{3D\textsuperscript{$\star$}} \\
\midrule
- DyTwin~\cite{DBLP:conf/sc/TaheriBPRHDEWPM24} & Gaussian Process Regression, AI/ML & Anomaly Detection & Cloud Datacenter Operators & A\textsuperscript{$\star$}, FD, VP\textsuperscript{$\star$}, SE\textsuperscript{$\thermod$} \\
+ DyTwin~\cite{DBLP:conf/sc/TaheriBPRHDEWPM24} & Gaussian Process Regression, AI/ML & Anomaly Detection & Cloud Datacenter Operators & A\textsuperscript{$\star$}, FD, VP\textsuperscript{$\star$}, SE\textsuperscript{$\thermod$} \\
\midrule
- ChatTwin~\cite{DBLP:conf/sensys/LiW0Z0T23} & \textbf{\footnotesize?} & Digital Twin\newline Definition Language & Cloud Datacenter Engineers & 3D\textsuperscript{$\star$} \\
+ ChatTwin~\cite{DBLP:conf/sensys/LiW0Z0T23} & \textbf{\footnotesize?} & Digital Twin\newline Definition Language & Cloud Datacenter Engineers & \fcolorbox{Red}{white}{ 3D\textsuperscript{$\star$}} \\
\midrule
- Reducio~\cite{DBLP:conf/sensys/CaoW0022} & POD, Gaussian\newline Process Modelling (ML) & Heat Modelling & Edge and Hyper-scale Datacenter Operators & CH\textsuperscript{$\dingasterisk$}, 3D\textsuperscript{$\star$}, SE \\
+ Reducio~\cite{DBLP:conf/sensys/CaoW0022} & POD, Gaussian\newline Process Modelling (ML) & \fcolorbox{Red}{white}{Heat Modelling} & Edge and Hyper-scale Datacenter Operators & \fcolorbox{Red}{white}{CH\textsuperscript{$\dingasterisk$}, 3D\textsuperscript{$\star$}}, SE \\
\midrule
- NetGraph~\cite{DBLP:conf/sigcomm/HongWDSSHZY21} & Graphs & Network Management & Cloud Datacenter Operators & VP\textsuperscript{$\star$}, RA\textsuperscript{$\star$}
- N\textsuperscript{$\star$}, SE\textsuperscript{$\thermod$} \\
+ NetGraph~\cite{DBLP:conf/sigcomm/HongWDSSHZY21} & Graphs & Network Management & Cloud Datacenter Operators & VP\textsuperscript{$\star$}, RA\textsuperscript{$\star$},
+ N\textsuperscript{$\star$}, SE\textsuperscript{$\thermod$} \\
\midrule
- Kalibre~\cite{DBLP:conf/sensys/WangZD0TCWZ20} & CFD/HT, ML & Heat Modelling & Cloud Datacenter Engineers & CH\textsuperscript{$\dingasterisk$}, 3D\textsuperscript{$\star$} \\
+ Kalibre~\cite{DBLP:conf/sensys/WangZD0TCWZ20} & CFD/HT, ML & \fcolorbox{Red}{white}{Heat Modelling} & Cloud Datacenter Engineers & \fcolorbox{Red}{white}{CH\textsuperscript{$\dingasterisk$}, 3D\textsuperscript{$\star$}} \\
\bottomrule
\end{tabular}
}
\end{table}
-\tiny \textbf{Table 1.1:} Comparison of selected datacenter digital twins. \textbf{Modelling capability:} 3D = AR/VR Visualizations; CH = Cooling/Heat, PE = Power/Energy Consumption, A = Anomaly Detection, N = Network Modelling, SE = Scenario Exploration, VP = Virtual Prototyping, FD = Federation, RA = Resource Allocation; \textbf{Data Analytics}: $\dingasterisk$ = Predictive Analysis; $\star$ = Descriptive Analysis, $\thermod$ = Prescriptive Analysis.
+\tiny \textbf{Table 1.1:} Comparison of selected datacenter digital twins. \textbf{Modelling capability:} \textcolor{Red}{3D = Visualizations}; \textcolor{Red}{CH = Cooling/Heat}, PE = Power/Energy Consumption, A = Anomaly Detection, N = Network Modelling, SE = Scenario Exploration, VP = Virtual Prototyping, FD = Federation, RA = Resource Allocation; \textbf{Data Analytics}: $\dingasterisk$ = Predictive Analysis; $\star$ = Descriptive Analysis, $\thermod$ = Prescriptive Analysis.
% Autonomous decisions (autonomous twinning) from~\cite{DBLP:conf/sc/BrewerMKWBHSGGW24} is inherent to digital twinning -- it is better left unsaid in the table.
% I.e., the foundation of any DT is autonomous decisions, so without them they don't qualify as a DT.
% ChatTwin mentions that they evaluate their system on their own-engineered digital twin, but they absolutely not name it. Who knows why.
diff --git a/indent.log b/indent.log
index 116f808..e738e43 100644
--- a/indent.log
+++ b/indent.log
@@ -1,6 +1,6 @@
INFO: latexindent version 3.24.7, 2025-08-15, a script to indent .tex files
latexindent lives here: /usr/share/texmf-dist/scripts/latexindent/
- Sun Jun 21 16:46:51 2026
+ Sun Jun 21 17:00:39 2026
Reading input from STDIN
INFO: Processing switches:
INFO: Directory for backup files and log file indent.log:
diff --git a/main.tex b/main.tex
index 79be7f8..0dc19b9 100644
--- a/main.tex
+++ b/main.tex
@@ -59,7 +59,7 @@
\begin{tcolorbox}[title=Results]
The literature on DCDTs is scarce.
Some systems barely classify as DTs (\emph{e.g.,} Kalibre~\cite{DBLP:conf/sensys/WangZD0TCWZ20}, ChatTwin~\cite{DBLP:conf/sensys/LiW0Z0T23}).
- Existing deployments specialize in Cooling and Heat Modelling, together with 3D visualizations.
+ Existing deployments specialize in \textcolor{Red}{Cooling and Heat Modelling}, together with \textcolor{Red}{3D visualizations}.
Most lack crucial predictive DC behaviour modelling.
\end{tcolorbox}
\input{images/table.tex}