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:
Jun. 08, 2021

Filed:

Jun. 06, 2018
Applicant:

Vmware, Inc., Palo Alto, CA (US);

Inventors:

Sidhartha Sahoo, Bangalore, IN;

Vipul Chaudhary, Bangalore, IN;

Sandeep L Hegde, Bangalore, IN;

Vimal Das Kammath Veerakumar, Bangalore, IN;

Arunvijai Sridharan, Bangalore, IN;

Assignee:

VMWARE, INC., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/34 (2006.01); G06F 11/36 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 11/3409 (2013.01); G06F 11/3447 (2013.01); G06F 11/3476 (2013.01); G06F 11/3688 (2013.01); G06N 20/00 (2019.01);
Abstract

Techniques for monitoring health of an application based on historical application health data and application logs are disclosed. In one embodiment, the historical application health data and the historical application logs associated with a period may be obtained. The application may include multiple services running therein. Priority of services may be determined based on the historical application health data associated with a portion of the period. Priority of exceptions associated with each of the services may be determined based on the historical application health data and the historical application logs associated with the portion of the period. Further, an application regression model may be trained by correlating the priority of the services, the associated priority of the exceptions, and the corresponding historical application health data. The health of the application may be monitored by analyzing real-time application logs using tested application regression model.


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