Method and system for dynamic upgrade predictions for a multi-component product

Patent metadata

Field	Value
Publication number	US-2021200526-A1
Application number	US-201916730310-A
Country	US
Kind code	A1
Filing date	Dec 30, 2019
Priority date	Dec 30, 2019
Publication date	Jul 1, 2021
Grant date	—

Abstract

Techniques are disclosed for generating a dynamic upgrade prediction. The prediction includes generating an initial upgrade prediction for an upgrade to be performed on a subset of component nodes; performing a real time progress review, using a centralized management node, of the upgrade, wherein each of the component nodes includes a number of stages; performing an upgrade duration comparison between the initial upgrade prediction and a real time upgrade time for a subset of the stages; and generating an updated upgrade prediction for the multi-component product upgrade based on the comparison between the initial upgrade prediction and the real time upgrade time

First claim

What is claimed is:

1 . A computer implemented method of generating a dynamic upgrade prediction comprising:
generating an initial upgrade prediction for an upgrade to be performed on a subset of a plurality of component nodes; performing a real time progress review, using a centralized management node, of the upgrade, wherein each of the plurality of component nodes includes a plurality of stages; performing an upgrade duration comparison between the initial upgrade prediction and a real time upgrade time for a subset of the plurality of stages; and generating an updated upgrade prediction for the multi-component product upgrade based on the comparison between the initial upgrade prediction and the real time upgrade time.

2 . The computer implemented method as in claim 1 , wherein only a subset of the component nodes of the multi-component product are being upgraded, and the initial upgrade prediction is generated based on an analysis of the subset of component nodes.

3 . The computer implemented method as in claim 1 , wherein the initial upgrade prediction, Tinit, is generated according to:

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wherein M is a number of components of the multi-component product, and each component has N[m] stages.

4 . The computer implemented method as in claim 3 , wherein the updated upgrade prediction, Testimate, is generated according to:

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Assignees

• Emc Ip Holding Co Llc

Inventors

• Su Lihui
• Zhang Scott
• Liang Zak
• Morton James
• Che Roger Hongyi

Classifications

• G06F8/65 Primary

  Updates (security arrangements therefor G06F21/57) · CPC title

• G06Q30/0282 Primary

  Rating or review of business operators or products · CPC title

• G06N5/04

  Inference or reasoning models · CPC title