diff options
Diffstat (limited to 'content')
| -rw-r--r-- | content/design.tex | 50 |
1 files changed, 44 insertions, 6 deletions
diff --git a/content/design.tex b/content/design.tex index d4473b0..a41d84d 100644 --- a/content/design.tex +++ b/content/design.tex @@ -14,27 +14,65 @@ We present here the stakeholders identified by our literature survey (see \Cref{ Afterwards, we list the functional and non-functional requirements for \mysystem. \subsection{Stakeholders}\label{sss:stakeholders} -\begin{enumerate}[label=\textbf{S\arabic*:},align=left] - \item \textbf{Datacenter} \\ +We identify four main stakeholders of a predictive datacenter digital twin: +\begin{enumerate}[label=\textbf{S\arabic* --},align=left] + \item \textbf{Datacenter Managers}\\ + Responsible for maintenance and operation of the warehouse, operators manage the datacenter daily. + They interact with the servers, bring downed hosts up and ensure customers' services run smoothly at all times. + Datacenter operators need to ensure different \gls{sla}s are met, energy costs are balanced and carbon emission quota is maintained. + \item \textbf{Datacenter Technicians}\\ + The term datacenter engineers encompasses datacenter architects and technicians alike. + From the moment the datacenter layout is determined, to the physical process of booting the server racks for the first time, datacenter engineers help build and maintain the datacenter. + They must continuously adapt to changing requirements and ensure everything goes smoothly~\cite{DBLP:journals/computer/AthavaleBBMMPS24}. + \item \textbf{Scientists and Academia}\\ + Digital twinning generates unprecedented amount of data. + To bring valuable insights, the ingested metrics must be effectively analyzed. + Scientists can draw conclusions from the monitoring data and in some deployments already benefit from the voluminous output of \gls{dcdt}s~\cite{DBLP:conf/noms/ZhangZLZWC22}. + \item \textbf{Customers and Users}\\ + Digital twins are already used to visualize both facilities and human beings alike for the benefit of users and customers. + Cloud and HPC users are not directly interacting with the system, but pay for services hosted in the datacenter and are one of the primary stakeholders of digital twinning. + Not only through 3D datacenter visualizations, but also from the continuously generated metrics can users and customers benefit from \gls{dcdt}s. \end{enumerate} \subsection{Use-cases}\label{sss:use_cases} -\begin{enumerate}[label=\textbf{UC\arabic*:},align=left] - \item \textbf{Datacenter} \\ +Based on the identified stakeholders we list 6 potential use-cases for a predictive datacenter digital twin: +\begin{enumerate}[label=\textbf{UC\arabic* --},align=left] + \item \textbf{Energy Optimization} \\ + Predicting and modeling energy optimization is curcial for \gls{dcdt}s. + It is the main use-case of some existing systems~\cite{DBLP:conf/sc/BrewerMKWBHSGGW24}. + Effective energy optimization, including the adjustments to the consumed energy type is a crucial use-case of \gls{dcdt}s. + \item \textbf{Failure Management} \\ + Predictive maintenance of both hardware and software failures alike, by simulating the possible failure distribution of a running workload, can lower downtime, terminated tasks and ensure \gls{sla}s are not missed~\cite{DBLP:journals/computer/AthavaleBBMMPS24}. + \item \textbf{Heat Modelling} \\ + Heat modeling is the primary use case of existing \gls{dcdt}s (see \Cref{tab:dt_features_comparison}). + Correct thermal management of the warehouse can optimize cooling strategies, leading to lower bills and maintenance costs. + \item \textbf{Network Traffic Modelling} \\ + Congestion management and traffic routing can effectively benefit from digital twinning. + Detecting bottlenecks, adjusting datacenter protocols and calibrating switches and interconnects is already a important use-case for \gls{dcdt}~\cite{DBLP:conf/sigcomm/HongWDSSHZY21}. + \item \textbf{Virtual Prototyping} \\ + + \item \textbf{Monitoring and Visualization} \\ \end{enumerate} \subsection{Functional Requirements}\label{sss:functional_requirements} -\begin{enumerate}[label=\textbf{FR\arabic*:},align=left] +\begin{enumerate}[label=\textbf{FR\arabic* --},align=left] \item \textbf{Datacenter} \\ \end{enumerate} \subsection{Non-functional Requirements}\label{sss:non_functional_requirements} -\begin{enumerate}[label=\textbf{NFR\arabic*:},align=left] +\begin{enumerate}[label=\textbf{NFR\arabic* --},align=left] \item \textbf{Datacenter} \\ \end{enumerate} \section{Design of \emph{Sunfish}}\label{ss:design_of_mysystem} +\begin{figure}[t] + \includegraphics[width=\linewidth]{images/ref_architecture.pdf} + \caption{ The predictive datacenter digital twin reference architecture. + We call the system \emph{Sunfish}. + The architecture was designed with the \emph{AtLarge Design Process}~\cite{DBLP:conf/icdcs/IosupVTETBFMT19} over several iterations in the past months} +\end{figure} + \subsection{Digital Thread} \subsection{Data Storage} |