Claims:WE CLAIM
1. A method for optimizing event alerts in an information technology (IT) infrastructure management system, comprising:
tracking, by a processor of an alert optimization system, one or more event alerts, triggered by monitoring tools, in the IT infrastructure management system;
determining, by the processor, a probable usage for at least one configuration item associated with the one or more event alerts based on the tracking;
determining, by the processor, a probable threshold value for each of the at least one configuration item based on the probable usage and capacity data;
computing, by the processor, a final threshold value for each of the at least one configuration item based on at least one of the probable threshold value, seasonality data, or semantic context data; and
optimizing, by the processor, the event alerts by filtering at least one unwanted event alert from the one or more event alerts based on the final threshold value.
2. The method as claimed in claim 1, further comprises:
dynamically ascertaining at least one new filtering rule based on at least one of the final threshold value, seasonality data, or the semantic context data;
adding the at least one new filtering rule to an event correlation engine of the alert optimization system, wherein the event correlation engine comprises predefined filtering rules; and
optimizing, by the event correlation engine, the event alerts by filtering at least one unwanted event alert from a first set of filtered event alerts, based on at least one of the predefined filtering rules and the at least one new filtering rule, wherein the first set of filtered event alerts is obtained upon filtering based on the final threshold value.
3. The method as claimed in claim 2 further comprises reporting optimized event alerts to an information technology service management (ITSM) system for resolving.
4. The method as claimed in claim 1, wherein the capacity data, seasonality data, and the semantic data are obtained from a sematic and contextual knowledge (SCK) database.
5. The method as claimed in claim 1 further comprises updating at least one of the final threshold value, the at least one new filtering rule, optimized event alerts in the SCK database.
6. The method as claimed in claim 1, wherein the probable usage is determined based on at least one of the seasonality data, the semantic and context data, and down-time data associated with the at least one configuration item.
7. The method as claimed in claim 1, wherein computing the final threshold value for each of the at least one configuration item comprises dynamically calculating the final threshold value based on a predefined feasibility range of the probable threshold value, and wherein a time interval is associated with the final threshold based on the probable threshold value and the seasonality data.
8. An alert optimization system for optimizing event alerts in an information technology (IT) infrastructure management system, comprising:
a processor; and
a memory communicatively coupled to the processor, wherein the memory stores processor-executable instructions, which, on execution, causes the processor to perform operations comprising:
tracking one or more event alerts, triggered by monitoring tools, in the IT infrastructure management system;
determining a probable usage for at least one configuration item associated with the one or more event alerts based on the tracking;
determining a probable threshold value for each of the at least one of configuration item based on the probable usage and capacity data;
computing a final threshold value for each of the at least one configuration item based on at least one of the probable threshold value, seasonality data, or semantic context data; and
optimizing the event alerts by filtering at least one unwanted event alert from the one or more event alerts based on the final threshold value.
9. The system as claimed in claim 8, wherein operations further comprise:
dynamically ascertaining at least one new filtering rule based on at least one of the final threshold value, seasonality data, or the semantic context data;
adding the at least one new filtering rule to an event correlation engine of the alert optimization system, wherein the event correlation engine comprises predefined filtering rules; and
optimizing, by the event correlation engine, the event alerts by filtering at least one unwanted event alert from a first set of filtered event alerts, based on at least one of the predefined filtering rules and the at least one new filtering rule, wherein the first set of filtered event alerts is obtained upon filtering based on the final threshold value.
10. The system as claimed in claim 8, wherein operations further comprise reporting optimized event alerts to an information technology service management (ITSM) system for resolving
11. The system as claimed in claim 8, wherein the capacity data, seasonality data, and the semantic data are obtained from a sematic and contextual knowledge (SCK) database.
12. The system as claimed in claim 11, wherein the SCK database is created by natural language processing (NLP) techniques to aggregate events, seasonality data, semantic context data, one or more predefined rules for generating event alerts, and patterns obtained from raw data pertaining to the IT infrastructure management system.
13. The system as claimed in claim 8, wherein operations further comprise updating at least one of the final threshold value, the at least one new filtering rule, optimized event alerts in the SCK database.
14. The system as claimed in claim 8, wherein the probable usage is determined based on at least one of the seasonality data, the semantic and context data, and down-time data associated with the at least one configuration item.

Dated this 7th day of October, 2015
Shwetha A Chimalgi
Of K&S Partners
Agent for the Applicant
, Description:TECHNICAL FIELD
This disclosure relates generally to information technology (IT) infrastructure management system and more particularly to a system and a method for optimizing event alerts in an IT infrastructure management system.