VoIP Network Event Correlation for Root Cause Analysis

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Solution Overview

Problem

There is a need for effective methods and systems to represent, analyze, and determine root cause errors and their impact in Voice over IP (VoIP) networks, which are becoming increasingly important for reliable and efficient network management as VoIP technology develops.

Innovation Solution

A method and system for representing and analyzing VoIP networks by mapping observable events to causing events, using a computerized device with a processor, memory, and interconnection mechanism, and software programs to perform operations such as discovering network elements, processing information, and identifying root causes of failures, thereby providing a comprehensive model for VoIP network management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If comprehensive event mapping and analysis methods are implemented in VoIP networks, then network management reliability and problem identification accuracy are improved, but system complexity and implementation difficulty increase

Engineering Contradiction:
Improvenetwork management reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the VoIP network into distinct functional components (gateways, routers, endpoints) and maps events to specific causing events within each component. This segmentation allows comprehensive monitoring without requiring a monolithic complex system, as each segment can be analyzed independently while contributing to overall network reliability.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary event correlation system that sits between network components and management systems. This intermediary layer processes and correlates events from multiple sources, transforming raw network data into meaningful problem identification without requiring direct complex integration between all network components and management systems.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If detailed event correlation and root cause analysis are performed, then problem identification accuracy is improved, but processing time and computational resources increase

Engineering Contradiction:
Improveproblem identification accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent establishes preliminary event mappings and cause-effect relationships before problems occur. By pre-defining the relationships between observable events and causing events during normal operation, the system can quickly identify root causes when problems occur without performing complex real-time analysis, thus maintaining high accuracy while reducing processing time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent replaces complex real-time mechanical analysis with pre-computed event correlation models. Instead of performing heavy computational analysis when problems occur, the system uses pre-established event mappings to rapidly identify root causes, substituting computational mechanics with pre-prepared correlation data.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS7797420B1Method and apparatus for representing, managing and problem reporting in VoIP networks
Publication Date: 2010.09.14 EMC IP HLDG CO LLC
  • US7797420B1 patent drawing
  • US7797420B1 patent drawing
  • US7797420B1 patent drawing

AI summary

A method, system and computer product for analyzing a Voice-over-IP (VoIP) network composed of a plurality of components are disclosed. The method comprises the method comprises the steps of representing selected ones of the plurality of components, providing a mapping between a plurality of first events and a plurality of second events occurring in selected ones of the components; and determining at least one first event based on at least one of the plurality of second events by determining a measure between each of a plurality of values associated with the plurality of first events and the plurality of second events.