From 9ba451969016ecd332b85709067b36c0eba53f58 Mon Sep 17 00:00:00 2001 From: mjkwiatkowski Date: Thu, 4 Jun 2026 13:02:23 +0200 Subject: feat: fixing the table in the background --- citations/CaoBUILDSYS2022.pdf | Bin 0 -> 950480 bytes citations/HongNAI2021.pdf | Bin 0 -> 770664 bytes citations/WangBUILDSYS2020.pdf | Bin 0 -> 3289160 bytes citations2/iteration1/acm/3408308.3427982.pdf | Bin 3289160 -> 0 bytes citations2/iteration1/acm/3472727.3472802.pdf | Bin 770664 -> 0 bytes citations2/iteration1/acm/3563357.3564050.pdf | Bin 950480 -> 0 bytes content/background.tex | 4 +- main.bib | 55 ++++++++++++++++++++++++++ sources/dt_features_comparison.tex | 48 +++++++++++----------- 9 files changed, 82 insertions(+), 25 deletions(-) create mode 100644 citations/CaoBUILDSYS2022.pdf create mode 100644 citations/HongNAI2021.pdf create mode 100644 citations/WangBUILDSYS2020.pdf delete mode 100644 citations2/iteration1/acm/3408308.3427982.pdf delete mode 100644 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deleted file mode 100644 index f9b1e1d..0000000 Binary files a/citations2/iteration1/acm/3472727.3472802.pdf and /dev/null differ diff --git a/citations2/iteration1/acm/3563357.3564050.pdf b/citations2/iteration1/acm/3563357.3564050.pdf deleted file mode 100644 index bdbcd8c..0000000 Binary files a/citations2/iteration1/acm/3563357.3564050.pdf and /dev/null differ diff --git a/content/background.tex b/content/background.tex index 4218380..4d84a78 100644 --- a/content/background.tex +++ b/content/background.tex @@ -1,8 +1,10 @@ \chapter{Background}\label{s:background} +\section{Overview}\label{s:background_overview} \section{Digital Twinning}\label{ss:digital-twinning} + % To fix: remove the \gls commands for ExaDigiT. % This is getting silly. \subsection{What is Digital Twinning?}\label{sss:what_is_digital_twinning} @@ -72,7 +74,7 @@ The process of inference from data to provide the best explanation is called abd \section{Datacenters}\label{ss:datacenters} -\subsection{Datacenter simulation}\label{sss:simulation} +\subsection{A Primer on Datacenter simulation}\label{sss:simulation} \input{sources/dt_features_comparison.tex} Explain the high risk phenomena that occur in datacenters, which includes failures. diff --git a/main.bib b/main.bib index 285859d..ba68dd4 100644 --- a/main.bib +++ b/main.bib @@ -573,3 +573,58 @@ biburl = {https://dblp.org/rec/conf/sensys/LiW0Z0T23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org}, } + +@inproceedings{DBLP:conf/sensys/CaoW0022, + author = {Zhiwei Cao and Ruihang Wang and Xin Zhou and Yonggang Wen}, + editor = {Jorge Ortiz}, + title = {Reducio: model reduction for data center predictive digital + twins via physics-guided machine learning}, + booktitle = {Proceedings of the 9th {ACM} International Conference on + Systems for Energy-Efficient Buildings, Cities, and + Transportation, BuildSys 2022, Boston, Massachusetts, + November 9-10, 2022}, + pages = {1--10}, + publisher = {{ACM}}, + year = {2022}, + url = {https://doi.org/10.1145/3563357.3564050}, + doi = {10.1145/3563357.3564050}, + timestamp = {Wed, 04 Dec 2024 09:43:28 +0100}, + biburl = {https://dblp.org/rec/conf/sensys/CaoW0022.bib}, + bibsource = {dblp computer science bibliography, https://dblp.org}, +} + +@inproceedings{DBLP:conf/sigcomm/HongWDSSHZY21, + author = {Hanshu Hong and Qin Wu and Feng Dong and Wei Song and Ronghua + Sun and Tao Han and Cheng Zhou and Hongwei Yang}, + title = {NetGraph: An Intelligent Operated Digital Twin Platform for + Data Center Networks}, + booktitle = {NAI'21: Proceedings of the {ACM} {SIGCOMM} 2021 Workshop on + Network-Application Integration, Virtual Event, USA, August + 27, 2021}, + pages = {26--32}, + publisher = {{ACM}}, + year = {2021}, + url = {https://doi.org/10.1145/3472727.3472802}, + doi = {10.1145/3472727.3472802}, + timestamp = {Sun, 19 Jan 2025 13:17:55 +0100}, + biburl = {https://dblp.org/rec/conf/sigcomm/HongWDSSHZY21.bib}, + bibsource = {dblp computer science bibliography, https://dblp.org}, +} + +@inproceedings{DBLP:conf/sensys/WangZD0TCWZ20, + author = {Ruihang Wang and Xin Zhou and Linsen Dong and Yonggang Wen and + Rui Tan and Li Chen and Guan Wang and Feng Zeng}, + title = {Kalibre: Knowledge-based Neural Surrogate Model Calibration for + Data Center Digital Twins}, + booktitle = {BuildSys '20: The 7th {ACM} International Conference on + Systems for Energy-Efficient Buildings, Cities, and + Transportation, Virtual Event, Japan, November 18-20, 2020}, + pages = {200--209}, + publisher = {{ACM}}, + year = {2020}, + url = {https://doi.org/10.1145/3408308.3427982}, + doi = {10.1145/3408308.3427982}, + timestamp = {Wed, 04 Dec 2024 09:45:46 +0100}, + biburl = {https://dblp.org/rec/conf/sensys/WangZD0TCWZ20.bib}, + bibsource = {dblp computer science bibliography, https://dblp.org}, +} diff --git a/sources/dt_features_comparison.tex b/sources/dt_features_comparison.tex index 2bc3305..cdad073 100644 --- a/sources/dt_features_comparison.tex +++ b/sources/dt_features_comparison.tex @@ -1,27 +1,27 @@ -\begin{table}[t] +\begin{table}[h] \centering \renewcommand{\arraystretch}{1.4} - \begin{tabular}{m{0.4\linewidth}ccccc} - \toprule - Feature & ExaDigiT~\cite{DBLP:conf/sc/BrewerMKWBHSGGW24} & SmartDC~\cite{DBLP:conf/noms/ZhangZLZWC22} & DyTwin~\cite{DBLP:conf/sc/TaheriBPRHDEWPM24} & ChatTwin~\cite{DBLP:conf/sensys/LiW0Z0T23}\\ - \midrule - Virtual Prototyping & & \ding{51} & &\\ - Scenario Exploration & & & &\\ - 3D Facility Modelling & \ding{51} & \ding{51} & &\\ - Predictive maintenance & & & &\\ - Predictive energy modelling & & \ding{51} & &\\ - Reliability and availability modeling & & & &\\ - Cooling system modelling & & \ding{51} & &\\ - Network modelling & & & &\\ - Predictive modelling & & & &\\ - Power/Energy consumption optimization (PUE) & & \ding{51} & &\\ - Heat and Airflow distribution modelling & & \ding{51} & &\\ - Visual analytics dashboard & & & &\\ - Forensic analysis and diagnostics & & & &\\ - Failure detection & & & &\\ - Operational optimization & & & &\\ - Resource allocation & & & &\\ - \midrule - \end{tabular} - \caption{Comparison of selected features of existing datacenter digital twins.} + \resizebox{\columnwidth}{!}{ + \begin{tabular}{lm{0.2\linewidth}m{0.25\linewidth}m{0.3\linewidth}l} + \toprule + Project & Simulation\qquad Technique & Focus & Stakeholders & Highlighted Features \\ + \midrule + ExaDigiT~\cite{DBLP:conf/sc/BrewerMKWBHSGGW24} & CFD/HT & Energy Loss\newline Prediction & & \\ + \midrule + SmartDC~\cite{DBLP:conf/noms/ZhangZLZWC22} & CFD/HT, BIM, AI & Heat Modelling & & \\ + \midrule + DyTwin~\cite{DBLP:conf/sc/TaheriBPRHDEWPM24} & Gaussian Process Regression, ML & Anomaly Detection & & \\ + \midrule + ChatTwin~\cite{DBLP:conf/sensys/LiW0Z0T23} & \textbf{\large?} & Configuration\newline Automation & & \\ + \midrule + Reducio~\cite{DBLP:conf/sensys/CaoW0022} & POD & Heat and Airflow\newline Prediction & & \\ + \midrule + NetGraph~\cite{DBLP:conf/sigcomm/HongWDSSHZY21} & Graphs & Network Management & & \\ + \midrule + Kalibre~\cite{DBLP:conf/sensys/WangZD0TCWZ20} & ML, CFD & Heat Modelling & & \\ + \bottomrule + \end{tabular} + } + \caption{Comparison of selected datacenter digital twins. \textbf{Features:} 3D = 3D Visualizations; CH = Cooling/Heat, PE = Power/Energy Consumption, F = Failures, N = Network, FS = FaaS, SE = Scenario Exploration, VP = Virtual Prorotyping, FD = Federation; \textbf{Tools:} AI = Artificial Intelligence, ML = Machine Learning, ODA = Operational Data Analysis; $\dagger$ Predictive Analysis; $\star$ = Descriptive Analysis, $\ddagger$ = Prescriptive Analysis.} \end{table} + -- cgit v1.2.3