Network Performance Pattern Correlation for Root-Cause Identification
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Solution Overview
Problem
Voice and data networks experience performance degradation due to various issues such as backhaul problems, software glitches, and intermittent or continuous errors, making it difficult to diagnose and resolve intermittent issues effectively.
Innovation Solution
A system and method that monitor network performance using key indicators like latency and jitter to identify data transmission performance patterns, correlate these patterns with root-cause components, and utilize self-optimizing tools to ensure peak network performance by dynamically redirecting resources and addressing issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network performance monitoring is implemented to identify degradation issues, then network reliability is improved, but device complexity increases due to the need for pattern matching systems and correlation analysis tools
Solution Approach 1:
The network monitoring system automatically performs pattern matching and root cause identification without requiring manual intervention. The system self-diagnoses performance degradation by correlating KPI patterns with known issue profiles, enabling automated fault detection and reducing the need for complex manual analysis tools
Solution Approach 2:
The patent introduces an intermediate pattern matching layer that sits between raw KPI data and root cause identification. This intermediary component transforms complex multi-parameter KPI data into simplified performance patterns that can be correlated with known network issues, reducing the overall system complexity while maintaining high reliability
2Measurement precision
If comprehensive KPI monitoring is deployed to detect intermittent problems, then measurement precision is improved, but loss of time increases due to the complexity of diagnosing intermittent issues
Solution Approach 1:
The system pre-establishes a library of performance patterns corresponding to known network issues before problems occur. When degradation is detected, the system performs rapid pattern matching against this pre-prepared library, eliminating the need for time-consuming diagnostic analysis and enabling immediate identification of intermittent problems
Solution Approach 2:
The patent implements a feedback mechanism where KPI measurements are continuously monitored and immediately compared against performance thresholds and patterns. When deviations are detected, the system provides real-time feedback about the nature and likely cause of the issue, enabling rapid response to intermittent problems without extensive diagnostic time
Data Source
AI summary
A method includes identifying a plurality of network components in a network topology of a data transmission network, identifying data transmission performance patterns based on at least one key performance indicator (KPI) for each of the plurality of network components, identifying at least one data transmission issue in the network, and identifying a model degraded performance pattern associated with the at least one data transmission issue. The method may also include matching the model degraded performance pattern to the data transmission performance patterns to form matched performance patterns, and identifying a root-cause component from the network components based on the matched performance pattern.