Event Aggregation Correlation Rules for Network Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Aggregating large numbers of failure events into characteristic events in network management requires significant labor and time, often relying on network administrators, which hampers efficiency.
Innovation Solution
An information processing device calculates correlation values for combinations of event information, selecting those with high frequency and close temporal proximity to generate combination rules independently, automating the aggregation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If aggregation of failure events is performed manually by network administrators, then accuracy of event aggregation can be maintained, but labor and time consumption increases significantly
Solution Approach 1:
The system enables automatic aggregation of failure events by calculating correlation values between event combinations and selecting high-correlation combinations autonomously, eliminating the need for manual administrator intervention while maintaining aggregation quality
Solution Approach 2:
The system uses correlation value as a quantitative parameter to automatically determine which event combinations should be aggregated, replacing manual judgment with objective parameter-based selection
2Reliability
If aggregation of failure events is performed manually by network administrators, then quality control can be maintained, but workload increases significantly
Solution Approach 1:
The system performs self-service by automatically calculating correlation values and selecting event combinations for aggregation without requiring administrator workload, while maintaining quality through systematic correlation-based selection
Solution Approach 2:
The system uses correlation value calculations as feedback to automatically determine which event combinations should be aggregated, creating a closed-loop system that maintains quality control without manual intervention
3Adaptability or versatility
If manual aggregation of event information is performed, then flexibility in handling diverse event patterns can be maintained, but processing time increases
Solution Approach 1:
The system handles diverse event patterns by calculating correlation values that adapt to different event combinations, using parameter-based selection that automatically adjusts to various patterns without manual reconfiguration
Solution Approach 2:
The correlation-based aggregation system provides universal applicability across different event types and patterns, handling diverse scenarios through a single automated mechanism rather than multiple manual procedures
Data Source
AI summary
According to one aspect of the present invention, when a combination rule of event information to be monitored is created by aggregating a plurality of pieces of event information generated in a network, an information processing device executes: collecting the plurality of pieces of event information; calculating a correlation value for a plurality of combinations of event information including m (m≥3) pieces of event information generated from the plurality of pieces of event information collected; selecting a combination of the pieces of event information for which the calculated correlation value is equal to or higher than a predetermined value, wherein the correlation value increases as the number of times or frequency that the event information included in a combination appears according to the combination increases and also increases as a time interval between the pieces of event information included in the combination decreases; and generating the combination rule on the basis of the event information included in the selected combination.


