Title:
MACHINE LEARNING ASSISTED REMEDIATION OF NETWORKED COMPUTING FAILURE PATTERNS
Document Type and Number:
WIPO Patent Application WO/2023/138594
Kind Code:
A1
Abstract:
Disclosed are techniques for automatically determining whether a new disruption of service alert corresponds to a pattern of failures and automatically applying remedies based on the determined pattern. Datasets of historical disruption of service alerts on networked computing clusters are used to train a machine learning algorithm to identify patterns between alerts. When a new disruption of service alert is received, historical disruption of service alerts for the originating networked computing cluster are also received and provided as input to the machine learning model. The machine learning model then automatically determines whether the new alert fits a pattern with the historical alerts from the same cluster, and when a fit is found, remedial actions are sourced from the alerts that fit the pattern to be applied automatically to the originating networked computing cluster.
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Inventors:
GOWRI SHYAMALA (IN)
GANDHI DEEPASHREE (IN)
MADIRAJU MRUDULA (IN)
ARORA RAKHI S (IN)
GABHANE JAYA H (IN)
GANDHI DEEPASHREE (IN)
MADIRAJU MRUDULA (IN)
ARORA RAKHI S (IN)
GABHANE JAYA H (IN)
Application Number:
PCT/CN2023/072764
Publication Date:
July 27, 2023
Filing Date:
January 18, 2023
Export Citation:
Assignee:
IBM (US)
IBM CHINA CO LTD (CN)
IBM CHINA CO LTD (CN)
International Classes:
G06F11/07
Foreign References:
| US20180173584A1 | 2018-06-21 | |||
| US11188411B1 | 2021-11-30 | |||
| US20140310564A1 | 2014-10-16 | |||
| US20190068622A1 | 2019-02-28 | |||
| US20200117531A1 | 2020-04-16 |
Attorney, Agent or Firm:
LIU, SHEN & ASSOCIATES (CN)
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