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authormjkwiatkowski <mati.rewa@gmail.com>2026-07-11 16:43:45 +0200
committermjkwiatkowski <mati.rewa@gmail.com>2026-07-11 16:43:45 +0200
commit95abbb9948ab7c8d4fe62aa9284c2abeced0515b (patch)
tree4d284bfd92d3b7efec32c08b698c1df8e479f655 /content/preamble
parentfa15aea3b9c647f2aa770315c148baaaad3ac8f9 (diff)
feat: completed the second iteration over the introduction and conclusion
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diff --git a/content/preamble/abstract.tex b/content/preamble/abstract.tex
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\bfseries\Huge Abstract
\end{center}
In the modern AI economy, the strong computational demand causes datacenters to become complex, diverse facilities.
-According to the Jevon's Paradox of Computer Systems, future warehouses are at an even higher risk of becoming unmanageable, due to the sheer volume of CPUs, GPUs, NPUs \etc necessary to satisfy the customers' needs.
+The sheer volume of CPUs, GPUs, NPUs \etc necessary to satisfy the customers' needs complicates system administration.
+Moreover, future warehouses are at an even higher risk of becoming unmanageable, according to the Jevon's Paradox of Computer Systems.
To address this problem, the scientific community has proposed digital twinning as a datacenter management tool.
-Digital Twins, which mirror complex objects and processes, provide a novel way to tackle the rising warehouse complexity.
-However, datacenter digital twins are still under development, and lack crucial features, such as predictive analytics, mandatory for system administrators to make well-informed operational decisions.
+Digital Twins, which mirror complex objects and processes to provide actionable management improvements, are a novel way to tackle the rising warehouse complexity.
+However, Datacenter Digital Twins are still under development, and lack crucial features, such as predictive analytics.
+Without predictive maintenance and forecasts, system administrators cannot make well-informed operational decisions.
In this work, we propose to enable predictive analytics for datacenters using digital twinning.
We survey the datacenter digital twinning field, and organize our findings into a system model.
diff --git a/content/preamble/acknowledgement.tex b/content/preamble/acknowledgement.tex
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@@ -12,6 +12,6 @@ Jesse Donkervliet guided the thesis timeline and greatly assisted in preparation
Daniel Halasz provided many insightful comments which shaped the technical contributions.
-Daniele Bonetta, Matthijs Jansen, Tiziano De Matteis, Radu Nicolae, Jure Antunovi\'c, Sacheendra Talluri, and Krijn Doekemeijer of AtLarge Research provided indispensable knowledge on conducting good Computer Systems research over the last 2 years.
+Daniele Bonetta, Matthijs Jansen, Tiziano De Matteis, Radu Nicolae, Jure Antunovi\'c, Sacheendra Talluri, and Krijn Doekemeijer of the AtLarge Research Group provided indispensable knowledge on conducting good Computer Systems research over the last 2 years.
Most importantly, I would like to thank Waldemar, Anna and Julia for their love and support while I was working on this thesis.