IP Library Granted Patent US 11,314,575
Granted Patent B2
US 11,314,575 · App. 16/945,954 · Granted Apr 26, 2022

Computing system event error corrective action recommendation

Inventors: Qing Wang (Chappaqua, NY); Larisa Shwartz (Greenwich, CT); Jinho Hwang (Ossining, NY); Srinivasan Parthasarathy (White Plains, NY); Michael Elton Nidd (Zurich, CH); Frank Bagehorn (Dottikon, CH); Jakub Krchák (Jindrichuv Hradec, CZ); Tomás Ondrej (Prague, CZ); Altynbek Orumbayev (Prague, CZ); Michal Mýlek (Vrané nad Vltavou, CZ); Ota Sandr (Prague, CZ)
Assignee: International Business Machines Corporation
G06F11/079G06F11/0769G06F17/16
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,314,575
App. No.
16/945,954
Granted
Apr 26, 2022
Kind
B2
Abstract

An approach to recommending corrective action to computing system event errors. The approach may include generating a textual description of an event error. The approach may include transforming the textual description into feature vectors with a domain-specific word embedding module. The approach may also include generating a recommendation to correct the event error based on an analysis of the feature vectors. Additionally, the recommendation may be presented for verification.

Claims (45)

1. A computer-implemented method for generating a corrective action recommendation to a computing system event error, the computer implemented method comprising:

transforming, by a processor, a textual description of an event error into feature vectors, wherein the event error is a computing system error;

analyzing the feature vectors;

generating a recommendation to correct the event error, based on analyzing the feature vectors, wherein the recommendation to correct the event error is generated by a contextual bandit model; and

correcting the event error, based on the generated recommendation, wherein the correction is performed by an expert system.

2. The computer-implemented method of claim 1 , further comprising:

monitoring the computing system;

detecting the event error; and

generating the textual description of the event error.

3. The computer-implemented method of claim 1 , wherein the transforming the textual description into feature vectors is performed by a word embedding model.

4. The computer-implemented method of claim 1 , further comprising:

presenting the recommendation for verification.

5. The computer-implemented method of claim 2 , wherein the textual description contains contextual information of the event error.

6. The computer-implemented method of claim 1 , wherein the contextual bandit model is optimized by a particle swarm optimization model.

7. A computer system for diagnosing a computing system error, the system comprising:

one or more computer processors;

one or more computer readable storage media;

computer program instructions to:

transform the textual description of an event error into feature vectors, wherein the event error is a computing system error;

analyze the feature vectors;

generate a recommendation to correct the event error based on analyzing the feature vectors, wherein the recommendation to correct the event error is generated by a contextual bandit model; and

correct the event error, based on the generated recommendation, wherein the correction is performed by an expert system.

8. The computer system of claim 7 , further comprising:

monitor the computing system;

detect the event error; and

generate the textual description of the event error.

9. The computer system of claim 7 , wherein the transforming the textual description into feature vectors is performed by a word embedding model.

10. The computer system of claim 7 , further comprising:

present the recommendation for verification.

11. The computer system of claim 8 , wherein the textual description contains contextual information of the event error.

12. The computer-implemented method of claim 7 , wherein the contextual bandit model is optimized by a particle swarm optimization model.

13. A computer program product for optimizing system migration to a cloud, the computer program product comprising one or more computer readable storage media and program instructions sorted on the one or more computer readable storage media, the program instructions including instructions to:

transform the textual description of an event error into feature vectors, wherein the event error is a computing system error;

analyze the feature vectors;

generate a recommendation to correct the event error based on analyzing the feature vectors, wherein the recommendation to correct the event error is generated by a contextual bandit model; and

correct the event error, based on the generated recommendation, wherein the correction is performed by an expert system.

14. The computer program product of claim 13 :

monitor the computing system;

detect the event error; and

generate the textual description of the event error.

15. The computer program product of claim 13 :

wherein the transforming the textual description into feature vectors is performed by a word embedding model.

16. The computer program product of claim 13 , further comprising instructions to:

present the recommendation for verification.

17. The computer program product of claim 13 , wherein the contextual bandit model is optimized by a particle swarm optimization model.

Assignments (2)
CORRECTIVE ASSIGNMENT TO CORRECT THE 8TH INVENTOR'S NAME PREVIOUSLY RECORDED AT REEL: 053391 FRAME: 0449. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Feb 22, 2022
From: WANG, QING; SHWARTZ, LARISA; HWANG, JINHO; PARTHASARATHY, SRINIVASAN; NIDD, MICHAEL ELTON; BAGEHORN, FRANK; KRCHÁK, JAKUB; ONDREJ, TOMÁ¿; ORUMBAYEV, ALTYNBEK; MÝLEK, MICHAL; SANDR, OTA
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 060073/0384 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 4, 2020
From: WANG, QING; SHWARTZ, LARISA; HWANG, JINHO; PARTHASARATHY, SRINIVASAN; NIDD, MICHAEL ELTON; BAGEHORN, FRANK; KRCHÁK, JAKUB; ONDREJ, TOMÁ?; ORUMBAYEV, ALTYNBEK; MÝLEK, MICHAL; SANDR, OTA
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 053391/0449 →
Continuity (1)
Related Publication 20220035692A1 · Feb 3, 2022
Cited By (1)
US 12,717,673