METHOD AND SYSTEM FOR INTELLIGENTLY RESOLVING FAILURES RECURRING IN INFORMATION TECHNOLOGY ENVIRONMENTS
First Claim
1. A method for resolving failures recurring in information technology (IT) environments, comprising:
- receiving, from a first failure healing agent (FHA), a first failure solution request comprising a first failure-pertinent information (FPI) and a first general configuration information (GCI);
generating a first deep learning key (DLK) using the first FPI and the first GCI;
processing the first DLK using a deep learning model (DLM) to obtain a first solution probability matrix;
filtering the first solution probability matrix using a solution probability threshold, to obtain a first solution identifier (SID);
identifying a first failure solution repository (FSR) entry associated with the first SID;
making a first determination that the first FSR entry comprises a first failure solution patch (FSP);
generating, based on the first determination, a first failure solution response using at least the first FSP; and
transmitting, in response to the first failure solution request, the first failure solution response to the first FHA.
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Accused Products
Abstract
A method and system for intelligently resolving failures recurring in information technology (IT) environments. Specifically, the method and system disclosed herein may be directed to the resolution of persistently-occurring failures observed in data backup and/or data recovery operations. Further, resolution of any given persistently-occurring failure may entail the identification of zero, one, or more solutions (e.g., patches and/or other instructions) based on the analyses of failure-related information and host-related configuration information using machine learning and/or artificial intelligence paradigms. In cases where zero solutions are identified, the conventional and manual investigative route by way of support ticketing may be pursued.
13 Citations
20 Claims
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1. A method for resolving failures recurring in information technology (IT) environments, comprising:
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receiving, from a first failure healing agent (FHA), a first failure solution request comprising a first failure-pertinent information (FPI) and a first general configuration information (GCI); generating a first deep learning key (DLK) using the first FPI and the first GCI; processing the first DLK using a deep learning model (DLM) to obtain a first solution probability matrix; filtering the first solution probability matrix using a solution probability threshold, to obtain a first solution identifier (SID); identifying a first failure solution repository (FSR) entry associated with the first SID; making a first determination that the first FSR entry comprises a first failure solution patch (FSP); generating, based on the first determination, a first failure solution response using at least the first FSP; and transmitting, in response to the first failure solution request, the first failure solution response to the first FHA. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system, comprising:
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a plurality of computer processors operatively connected to one another; a failure healing agent (FHA) executing on a first computer processor of the plurality of computer processors; and a failure healing intelligence (FHI) executing on a second computer processor of the plurality of computer processors, and programmed to; receive, from the FHA, a failure solution request comprising a failure-pertinent information (FPI) and a general configuration information (GCI); generate a deep learning key (DLK) using the FPI and the GCI; process the DLK using a deep learning model (DLM) to obtain a solution probability matrix; filter the solution probability matrix using a solution probability threshold, to obtain a solution identifier (SID); identify a failure solution repository (FSR) entry associated with the SID; make a determination that the FSR entry comprises a failure solution patch (FSP); generate, based on the determination, a failure solution response using at least the FSP; and transmit, in response to the failure solution request, the failure solution response to the FHA. - View Dependent Claims (12, 13, 14)
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15. A non-transitory computer readable medium (CRM) comprising computer readable program code, which when executed by a computer processor, enables the computer processor to:
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receive, from a first failure healing agent (FHA), a first failure solution request comprising a first failure-pertinent information (FPI) and a first general configuration information (GCI); generate a first deep learning key (DLK) using the first FPI and the first GCI; process the first DLK using a deep learning model (DLM) to obtain a first solution probability matrix; filter the first solution probability matrix using a solution probability threshold, to obtain a first solution identifier (SID); identify a first failure solution repository (FSR) entry associated with the first SID; make a first determination that the first FSR entry comprises a first failure solution patch (FSP); generate, based on the first determination, a first failure solution response using at least the first FSP; and transmit, in response to the first failure solution request, the first failure solution response to the first FHA. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification