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Diffstat (limited to 'content/preamble')
| -rw-r--r-- | content/preamble/abstract.tex | 15 | ||||
| -rw-r--r-- | content/preamble/acknowledgement.tex | 2 |
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diff --git a/content/preamble/abstract.tex b/content/preamble/abstract.tex index 44fde95..c8078b4 100644 --- a/content/preamble/abstract.tex +++ b/content/preamble/abstract.tex @@ -1,4 +1,17 @@ \newpage \begin{center} - \bfseries\Huge Abstract + \bfseries\Huge Abstract \end{center} +In the modern AI economy, the strong computational demand causes datacenters to become complex, diverse facilities. +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 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. +Additionally, we design \mysystem~-- a novel reference architecture for predictive datacenter digital twins, and evaluate it through prototype-based experiments. +Our results indicate \mysystem is capable of reliably differentiating between mild and severe compute failures, and can successfully incorporate a predictive analytics engine to the benefit of datacenter managers. + diff --git a/content/preamble/acknowledgement.tex b/content/preamble/acknowledgement.tex index bbb7169..df5ea7c 100644 --- a/content/preamble/acknowledgement.tex +++ b/content/preamble/acknowledgement.tex @@ -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. |