Relevance Ranking System for Event Prioritization
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Solution Overview
Problem
Performance management systems often generate a large number of events, making it challenging for administrators to identify and prioritize the most relevant issues, especially in environments with incomplete topology information and third-party monitoring data.
Innovation Solution
A relevance ranking system that assigns relevance scores to events based on importance, impact, and interestingness factors, using machine learning models to predict scores and generate a ranking list, even in scenarios with incomplete data, allowing administrators to focus on the most critical events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If performance management systems monitor all events in detail, then measurement precision is improved, but device complexity increases and loss of time increases due to the large volume of events requiring analysis
Solution Approach 1:
The patent extracts and separates the ranking function from the event monitoring system. A dedicated ranking module independently processes events and assigns relevance scores, separating the complexity of event analysis from the core monitoring functions. This allows detailed event monitoring to continue while adding ranking capabilities without proportionally increasing overall system complexity.
Solution Approach 2:
The patent introduces an intermediary ranking module that sits between event generation and event presentation to administrators. This intermediary component evaluates events, assigns relevance scores, and prioritizes them before presentation, acting as a mediator that reduces the burden on administrators while maintaining comprehensive monitoring capabilities.
2Loss of information
If performance management systems generate comprehensive event data, then information completeness is improved, but loss of time increases as administrators struggle to prioritize relevant events
Solution Approach 1:
The patent implements preliminary action by pre-calculating and assigning relevance scores to events as they are generated. The ranking module evaluates events in real-time and prioritizes them before administrators need to review them. This preliminary prioritization eliminates the need for administrators to manually assess and rank events, significantly reducing the time required to identify critical issues.
Solution Approach 2:
The patent replaces the mechanical process of manual event prioritization with an automated computational system. The ranking module uses algorithms to automatically evaluate event relevance, substituting human judgment and manual sorting with automated machine-based prioritization. This substitution dramatically reduces the time administrators spend on event triage while maintaining comprehensive event information.
3Adaptability or versatility
If performance management systems integrate multiple monitoring sources, then adaptability is improved, but difficulty of detecting and measuring increases due to incomplete topology information
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the relevance scoring parameters based on the quality and completeness of available topology information. When topology information is incomplete, the ranking module adapts its evaluation criteria to work with available data, changing the parameters of event assessment rather than requiring complete information. This allows the system to integrate multiple monitoring sources effectively even when full topology details are unavailable.
Data Source
AI summary
An aspect of the present disclosure provides a relevance ranking system for events identified by performance management systems. In one embodiment, a system receives, from one or more performance management systems, events associated with performance metrics and determines, based on the received events, a corresponding relevance score for each performance metric. The system generates a ranking list of the received events based on the corresponding relevance scores (determined for the performance metrics). The system then provides the ranking list of events to a user (such as an administrator). According to another aspect, the system (noted above) performs the steps of receiving, determining, and generating for each time interval of a set of time intervals.