公开(公告)号：US20220075794A1

公开(公告)日：2022-03-10

申请号：US17530866

申请日：2021-11-19

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Kalapriya Kannan ,  Suparna Bhattacharya ,  Douglas L. Voigt

IPC: G06F16/25 ,  G06F11/30

Abstract: Examples include bypassing a portion of an analytics workflow. In some examples, execution of an analytics workflow may be monitored upon receipt of a raw data and the execution may be interrupted at an optimal bypass stage to obtain insights data from the raw data. A similarity analysis may be performed to compare the insights data to a stored insights data in an insights data repository. Based, at least in part, on a determination of similarity, a bypass operation may be performed to bypass a remainder of the analytics workflow.

公开(公告)号：US20240069787A1

公开(公告)日：2024-02-29

申请号：US17821513

申请日：2022-08-23

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Kalapriya Kannan ,  Chaitra Kallianpur ,  Bruce Rabe ,  Suparna Bhattacharya ,  Krishnaraju Thangaraju

IPC: G06F3/06

CPC classification number: G06F3/0655 ,  G06F3/0604 ,  G06F3/0679

Abstract: Examples described herein relate to preparing datasets in a storage device for machine learning (ML) applications. Examples include maintaining ML facet mappings between ML facets and dataset preparation tags, deriving ML facets of a dataset stored in the storage device, and generating filtered datasets from the datasets using the ML facets and ML facet mappings. The filtered dataset is associated with improved dataset quality compared to unfiltered dataset. The storage device transmits the filtered dataset to ML applications requesting the dataset. Some examples include recommending, by the storage device, ML facets to the ML application based on performance metrics.

公开(公告)号：US10652327B2

公开(公告)日：2020-05-12

申请号：US15399789

申请日：2017-01-06

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Murali Nidugala ,  Kalapriya Kannan ,  Hariharan Krishna

IPC: G06F9/455 ,  H04L29/08 ,  H04L12/24 ,  G06F9/50 ,  H04L12/26

Abstract: The present subject matter relates to migrating a virtual machine (VM) from a source server to a destination server. The migration involves computation of a suitability score for each particular server in the plurality of candidate servers. The suitability score for a server indicates the suitability of the server to host the VM. In an example implementation, the suitability score for a server is computed based on satisfaction of at least one criterion for operation of the VM by the server.