Signaling Error Classification for Network Connectivity Troubleshooting
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Solution Overview
Problem
Service providers face challenges in correlating signaling plane errors with underlying transport plane issues in converged network architectures like IMS and IPTV, especially across multiple network domains, due to the lack of comprehensive management solutions that integrate both planes.
Innovation Solution
A system and method that monitors error events in the signaling plane, classifies them based on user-defined parameters, and automatically triggers alerts and troubleshooting procedures when a threshold of errors occurs within a set time, using a monitoring module to identify potential network connectivity problems in the transport plane.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If service providers manually monitor and correlate signaling plane errors with transport plane issues across multiple network domains, then they can identify network connectivity problems, but the process becomes time-consuming and complex
Solution Approach 1:
The system pre-configures correlation rules and thresholds for error event patterns before they occur. When errors are detected, the pre-established rules enable immediate automated correlation and troubleshooting initiation, eliminating manual analysis time and rapidly identifying transport plane issues from signaling plane errors
Solution Approach 2:
The monitoring system automatically detects error patterns, correlates them across network domains, and triggers troubleshooting procedures without human intervention. The system self-manages the entire process from error detection to problem identification, reducing both time loss and operational complexity
2Measurement precision
If comprehensive management solutions integrate both signaling and transport planes across multiple network domains, then network connectivity problems can be identified accurately, but the system complexity increases
Solution Approach 1:
The management solution is segmented into independent functional modules: error event monitoring, pattern classification, threshold evaluation, and troubleshooting triggering. Each module handles a specific aspect of the correlation process, making the overall complex system manageable through modular design while maintaining high correlation accuracy across multiple network domains
Solution Approach 2:
The monitoring system implements a universal error correlation framework that works across diverse network domains (IMS, IPTV, and other converged networks). By creating a multi-functional platform that handles various signaling protocols and error types through a common architecture, the system achieves comprehensive coverage without proportionally increasing complexity
Data Source
AI summary
In an embodiment, a system and method which monitors a signaling plane for error events among one or more network nodes in a converged network. The system and method classifies and calculates, based on user defined parameters, a threshold value or percentage of error events which occur within a desired amount of time and automatically triggers an alert in the network that a potential network connectivity problem exists in the transport plane. In an embodiment, the trigger automatically initiates troubleshooting procedures to solve the network connectivity problem.