From c11064f083ef52b41b5f60c50bb4cd2e67b11aab Mon Sep 17 00:00:00 2001 From: mjkwiatkowski Date: Fri, 12 Jun 2026 16:55:41 +0200 Subject: fix: tidied up the directory --- .gitignore | 1 + build/main.fdb_latexmk | 20 ++-- build/main.fls | 126 +++++++++++---------- build/main.log | 71 ++++++------ build/main.pdf | Bin 12726889 -> 12726898 bytes build/main.synctex.gz | Bin 42194 -> 42251 bytes images/48-years-processor-trend-2.pdf | Bin 700606 -> 0 bytes images/48-years-processor-trend.pdf | Bin 39009 -> 0 bytes images/48-years-processor-trend.png | Bin 2214596 -> 0 bytes images/AthavaleBBMMPS24-2.pdf | Bin 237012 -> 0 bytes images/AthavaleBBMMPS24-3_cropped.pdf | Bin 174463 -> 0 bytes images/AthavaleBBMMPS24_cropped.pdf | Bin 229777 -> 0 bytes images/IosupLVG22-2_cropped.pdf | Bin 275244 -> 0 bytes images/TaoIEEE2019-3_cropped.pdf | Bin 277735 -> 0 bytes images/Untitled Diagram.drawio | 58 ---------- images/digital_twin_ms.pdf | Bin 0 -> 174463 bytes images/dt_timeline.pdf | Bin 0 -> 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Heterogeneous datacenter architectures are common ~\cite{DBLP:conf/date/MilojicicFDR21} and - modern computational needs of AI drive managers to diversify datacenters even more~\cite{DBLP:journals/computer/AthavaleBBMMPS24}. + 21\textsuperscript{st} century datacenters are heterogeneous~\cite{DBLP:conf/date/MilojicicFDR21} and + modern computational needs of AI drive managers to diversify datacenters even more than ever~\cite{DBLP:journals/computer/AthavaleBBMMPS24}. In result datacenters become extremely complex and hard to operate with millions of CPU's, GPU's etc. \end{tcolorbox} \begin{center} @@ -95,7 +95,7 @@ We need to act now. \end{tcolorbox} \begin{center} - \includegraphics[height=10em]{images/IosupLVG22-2_cropped.pdf} + \includegraphics[height=10em]{images/manageability.pdf} \end{center} \tiny \textbf{Figure E.1:} Horizontally: the most important research areas in computer science in Netherlands. @@ -110,7 +110,7 @@ Datacenters meet this requirement easily because they already connect hundreds of monitoring sensors. \end{tcolorbox} \begin{center} - \includegraphics[height=10em]{images/TaoIEEE2019-3_cropped.pdf} + \includegraphics[height=10em]{images/dt_timeline.pdf} \end{center} \tiny @@ -128,7 +128,7 @@ Only a constant bi-directional interaction (digital twin $\iff$ physical entity) can achieve this. \end{tcolorbox} \begin{center} - \includegraphics[height=10em]{images/AthavaleBBMMPS24-3_cropped.pdf} + \includegraphics[height=10em]{images/digital_twin_ms.pdf} \end{center} \tiny \textbf{Figure E.3:} Real-time control that is tightly-coupled with the IT equipment is a prerequisite for timely predictions within seconds/minutes~\cite{DBLP:journals/computer/AthavaleBBMMPS24}. \end{frame} diff --git a/notes/.~lock.VU_BSc_Defense_Slides_Mateusz_Kwiatkowski-20260610-annot-jd.pdf# b/notes/.~lock.VU_BSc_Defense_Slides_Mateusz_Kwiatkowski-20260610-annot-jd.pdf# deleted file mode 100644 index 29ea072..0000000 --- a/notes/.~lock.VU_BSc_Defense_Slides_Mateusz_Kwiatkowski-20260610-annot-jd.pdf# +++ /dev/null @@ -1 +0,0 @@ -,matt,frame,11.06.2026 07:28,/home/matt/.local/share/onlyoffice; \ No newline at end of file diff --git a/notes/VU_BSc_Defense_Slides_Mateusz_Kwiatkowski-20260610-annot-jd.pdf b/notes/VU_BSc_Defense_Slides_Mateusz_Kwiatkowski-20260610-annot-jd.pdf deleted file mode 100644 index 4e51e3d..0000000 Binary files a/notes/VU_BSc_Defense_Slides_Mateusz_Kwiatkowski-20260610-annot-jd.pdf and /dev/null differ diff --git a/notes/meeting3.txt b/notes/meeting3.txt deleted file mode 100644 index f058da1..0000000 --- a/notes/meeting3.txt +++ /dev/null @@ -1,49 +0,0 @@ -Jesse -- Latex slides are OK! -1 slides is 1 to 2 minutes - 5 to 10 slides can work. -Slide 4: mention the contributions; In the thesis we answer these RQs, for time limitation, we only focus on RQs 1 and 2. For RQ we do a design and then you can ask me about this after the presentation. -You can skip explaining a RQ. -Skip material instead of cramming material. -As you know and as you've seen in the previous presentations today. - -**Mention societal impact at least verbally. In slide 2.** -Avoid audience members thinking ``he forgot that''. -If you are skipping something -- at least mention that you are skipping it. -Or that there is an extra slide explaining this. - -Before slide 4, the audience must know what predictive analytics is and why is it important to have. -In the `Problem Statement` slide, say `What is predictive analytics`, `Why is it crucial`. -Key for you to explain `What is predictive analytics?` - -Digital Twins -- a lot of elements are shifting about, there are a lot of ways to model these things, and there seems to not be a fully functioning digital twin out there. -There does not exist a system that contains the entire feedback loop. -1) Digital Twins are NOT DONE -- they are actively being developed. -2) Part of being developed is they lack crucial features, e.g., predictive analytics -3) Predictive analytics is this and that... -4) This is important because ... - -You may have to remove the table. - -Slide 2 -- the idea of complex / extremely complex is too bad. -The idea might be a bit too high -- throw in some numbers, the scale of modern datacenters. -Put in some number of different number CPU's, or focus on the number of PETAFLOPS (compute steps per second). - -Change the narrative from Moore's law to something else. -Focus more on the fact that the infrastructure is incredibly large. -DO NOT SHOW THE DENNARD's scaling graph. - -``A single CPU is very complex. (Show ARM Architecture of APPLE MAC) Look, in that something there is this bigger thing, and there is this and there is this bigger thing, and how are we going to simulate this big datacenter, that has so many __layers of complexity__``. A single ARM Architecture Image -- ``This is a complex object''. -In datacenters, there are hundreds of thousands of them. -How do we manage this?'' - -Connect motivation to problem statement via societal context. -``We cannot let these systems go down, we CANNOT Experience failures, we cannot experience performance related issues`'' and that bridges to the need of digital twins to be better able to detect and solve issues in this critical infrastructure. -And that also bridges nicely to predictive analytics. -``What if we can solve problems before they actually occur?`` - -You have to be able to explain something well on a graph with dc <-> dt. -Give a strong motivation for predictive analytics. -Give a strong motivation for failures, or that Digital Twins are just IoT sensors without Digital Twinning. - -Slide 4 add animations to show the research questions. -``Take home message'' instead of Discussion. -Add animations -- to the system model for things appearing. diff --git a/script.tex b/script.tex deleted file mode 100644 index e69de29..0000000 -- cgit v1.2.3