Correlating Monitored Metrics with Alerts via Unified Graphical Interface

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Solution Overview

Problem

Users face challenges in correlating computer metrics with alerts in complex systems, requiring significant experience to map parameters and draw conclusions, as existing methods lack effective tools for unified representation over time.

Innovation Solution

A method and system for correlating monitored computer metrics and alerts by selecting user-designated metrics, time scales, and alert numbers, with a graphical representation of correlated data for presentation, allowing for unified user interface display based on time dimensions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If users manually correlate computer metrics with alerts in complex systems, then diagnostic accuracy may be achieved, but the process requires significant experience and time

Engineering Contradiction:
Improvediagnostic accuracyVSAvoidtime required for correlation
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent introduces an automated correlation system that acts as an intermediary between metrics and alerts. This system automatically maps metrics to relevant alerts using predefined relationships and algorithms, eliminating the need for users to manually perform the correlation process while maintaining diagnostic accuracy

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary correlation work by pre-establishing relationships between metrics and alerts, and by automatically preparing correlated views before users need them. This preliminary automation reduces the time users would otherwise spend on manual correlation tasks

Inventive Principle:
Principle #10Preliminary action

2Ease of operation

If users rely on experience to map parameters and draw conclusions, then diagnostic capability may be achieved, but the process becomes complex and difficult

Engineering Contradiction:
Improveease of parameter mappingVSAvoidsystem complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system performs self-service by automatically correlating metrics with alerts using predefined rules and relationships. This automation eliminates the need for users to have specialized experience in mapping parameters, making the system easier to operate while managing complexity internally

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent extracts the complex correlation logic from the user's task and places it within the automated system. By taking out the difficult parameter mapping process and embedding it in the system's automated correlation engine, the user interface becomes simpler while the system handles the complexity

Inventive Principle:
Principle #2Taking out (Extraction)

3Loss of information

If unified representation of metrics and alerts is implemented, then diagnostic insights are improved, but data processing complexity increases

Engineering Contradiction:
Improveinformation completenessVSAvoiddata processing complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent merges metrics and alerts into a unified correlated view that presents both types of information together in a single interface. This consolidation improves information completeness by showing the relationship between metrics and alerts simultaneously, while the system manages the processing complexity through automated correlation algorithms

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS9378111B2Method and system for easy correlation between monitored metrics and alerts
Publication Date: 2016.06.28 SAP SE
  • US9378111B2 patent drawing
  • US9378111B2 patent drawing
  • US9378111B2 patent drawing

AI summary

A method and system for correlating, for at least one managed system, at least one monitored computer metric and a plurality of associated alerts, comprising selecting a monitored computer metric designated by a user, selecting a time scale designated by the user; and selecting a number of alerts associated with the monitored computer metric, the alert being designated by the user. The monitored computer metric and the number of alerts are correlated over the selected time period, and a graph of the correlated monitored computer metric superimposed with a number of alerts over the selected time period is transmitted for presentation to the user. The user can select various monitored computer metrics, various alerts and various time periods.