The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 01, 2023

Filed:

Dec. 29, 2016
Applicant:

Nutanix, Inc., San Jose, CA (US);

Inventors:

Jianjun Wen, San Jose, CA (US);

Abhinay Nagpal, San Jose, CA (US);

Himanshu Shukla, San Jose, CA (US);

Binny Sher Gill, San Jose, CA (US);

Cong Liu, Foster City, CA (US);

Shuo Yang, San Jose, CA (US);

Assignee:

Nutanix, Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 7/01 (2023.01); G06N 5/02 (2023.01);
U.S. Cl.
CPC ...
G06N 7/01 (2023.01); G06N 5/02 (2013.01);
Abstract

A method for time series analysis of time-oriented usage data pertaining to computing resources of a computing system. A method embodiment commences upon collecting time series datasets, individual ones of the time series datasets comprising time-oriented usage data of a respective individual computing resource. A plurality of prediction models are trained using portions of time-oriented data. The trained models are evaluated to determine quantitative measures pertaining to predictive accuracy. One of the trained models is selected and then applied over another time series dataset of the individual resource to generate a plurality of individual resource usage predictions. The individual resource usage predictions are used to calculate seasonally-adjusted resource usage demand amounts over a future time period. The resource usage demand amounts are compared to availability of the resource to form a runway that refers to a future time period when the resource is predicted to be demanded to its capacity.


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