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:
May. 18, 2021

Filed:

Dec. 11, 2018
Applicant:

Mphasis Limited, Bangalore, IN;

Inventors:

Avadhanam Udayaadithya, Bangalore, IN;

Jai Ganesh, Bangalore, IN;

Divay Garg, Saharanpur, IN;

Aravindhan Arunagiri, Trichy, IN;

Bishwajeet Mondal, Ghaziabad, IN;

Aveek Choudhury, Kolkata, IN;

Faustina Selvadeepa, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/00 (2006.01); G06F 11/07 (2006.01); G06N 7/08 (2006.01); G06N 5/00 (2006.01); G06F 11/34 (2006.01); G06F 9/54 (2006.01); G06F 11/30 (2006.01);
U.S. Cl.
CPC ...
G06F 11/079 (2013.01); G06F 9/542 (2013.01); G06F 9/547 (2013.01); G06F 11/008 (2013.01); G06F 11/0793 (2013.01); G06F 11/302 (2013.01); G06F 11/3065 (2013.01); G06F 11/3068 (2013.01); G06F 11/3072 (2013.01); G06F 11/3414 (2013.01); G06F 11/3433 (2013.01); G06F 11/3438 (2013.01); G06F 11/3447 (2013.01); G06F 11/3476 (2013.01); G06N 5/003 (2013.01); G06N 7/08 (2013.01); G06F 2201/835 (2013.01); G06F 2201/86 (2013.01);
Abstract

A system and a method for predicting errors and failure of an application and performing preventive maintenance measures is disclosed. The present invention provides for generating timestamped event logs and extracting data which includes application Id, service Id, user Id, host, error information, resource information, user request data and frequently used execution sequences of associated software components. Further, multiple user requests are modelled based on information extracted from the timestamped event logs and an execution sequence of associated software components is created based on data extracted from timestamped event logs. Further, an execution scheme is generated based on modelled user requests, execution sequence of associated applications and resource status. Yet further, propensity of failure of application is predicted based on the timestamped event logs, user requests, execution sequence of associated applications, resource status and execution scheme of the application by applying a holistic technique.


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