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diff --git a/content/preamble/abstract.tex b/content/preamble/abstract.tex index 44fde95..5f364ec 100644 --- a/content/preamble/abstract.tex +++ b/content/preamble/abstract.tex @@ -1,4 +1,15 @@ \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. +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. +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. + +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. + |