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diff --git a/content/conclusion.tex b/content/conclusion.tex index d964ae9..4db890d 100644 --- a/content/conclusion.tex +++ b/content/conclusion.tex @@ -41,5 +41,10 @@ As such, we believe we answer the main research question by addressing each sub- \section{Future Work} We envision \gls{dcdt}s as systems that encompass features necessary to model the entire datacenter behaviour. -It came to our attention, that with the explosive growth of \gls{ai} and the diversification of datacenters under way, \gls{dt}s will be indispensable in datacenter management. -We predict that in the near future, a number of +It came to our attention that with the explosive growth of \gls{ai} and the diversification of datacenters under way, \gls{dt}s will be indispensable in datacenter management. +To power the predictions we envision an \gls{ml}-based inference engine as a necessary component of digital twinning. +The need for \gls{ml} arises naturally in scenarios where large volumes of data, requiring little to no preprocessing meet the demand for estimating future facility behaviour. +For future work in failure prediction, we envision an \gls{abc} approach to estimate the real failure distribution within the datacenter. +Additionally, power usage optimization is a critical concern in datacenter management. +We hope future attempts to enhance datacenter digital twinning can enable datacenter operators with actionable insights towards lowering the power consumption. + |