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:
Feb. 21, 2023

Filed:

Dec. 31, 2018
Applicant:

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

Inventors:

Karan Gupta, San Jose, CA (US);

Varun Kumar Arora, Fremont, CA (US);

Himanshu Shukla, San Jose, CA (US);

Bharat Kumar Beedu, Bangalore, IN;

Abhinay Nagpal, Fremont, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 12/00 (2006.01); G06F 3/06 (2006.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06F 3/0659 (2013.01); G06F 3/0604 (2013.01); G06F 3/0605 (2013.01); G06F 3/067 (2013.01); G06F 3/0629 (2013.01); G06F 3/0653 (2013.01); G06N 20/20 (2019.01);
Abstract

Systems and methods for scheduling storage management tasks over predicted user tasks in a distributed storage system. A method commences upon receiving a set of historical stimulus records that characterize management tasks that are run in the storage system. A corresponding set of historical response records comprising system metrics associated with execution of the system tasks is also received. A learning model is formed from the stimulus records and the response records and formatted to be used as a predictor. A set of forecasted user tasks is input as new stimulus records to the predictor to determine a set of forecasted system metrics that would result from running the forecasted user tasks. Management tasks are selected so as not to impact the forecasted user tasks. Management tasks can be selected based on non-contentions resource usage between historical management task resource usage and predictions of resource usage by the user tasks.


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