Training a data center hardware instance network

A method is provided to produce training data set for training an inference engine to predict events in a data center comprising: producing probe vectors corresponding to components of a data center, each probe vector including a sequence of data elements, one of the probe vectors indicating an even...

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Bibliographic Details
Main Authors Mehrotra, Sharad, Yang, Frank Szu-Jen, Vogety, Ramanagopal V
Format Patent
LanguageEnglish
Published 23.03.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A method is provided to produce training data set for training an inference engine to predict events in a data center comprising: producing probe vectors corresponding to components of a data center, each probe vector including a sequence of data elements, one of the probe vectors indicating an event at a component and at a time of the event; and producing at a master device a set of training snapshots, wherein each training snapshot includes a subsequence of data elements that corresponds to a time increment that matches or that occurred not later than the indicated time of occurrence of the event.
Bibliography:Application Number: US201816016362