Network Impairment Detection via Node Health Evaluation
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Solution Overview
Problem
Conventional networks lack real-time monitoring capabilities, leading to reactive approaches in detecting impairments, resulting in prolonged service outages and decreased customer satisfaction due to malfunctioning nodes.
Innovation Solution
A system and method for detecting impairments in a network by using a node evaluation unit to calculate a node health value based on metrics, comparing it to a threshold, and applying criteria to determine if nodes are operating at desired levels, enabling proactive identification and notification of malfunctioning nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a reactive approach to detecting impairments is used, then service providers can operate with simpler monitoring systems, but service outages are prolonged and customer satisfaction decreases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and analyzing performance metrics from network nodes before actual failures occur. The node evaluation unit calculates health values and compares them against thresholds in advance, enabling early detection of deteriorating conditions and proactive intervention to prevent service outages.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring performance metrics, calculating node health values, and providing real-time status information about network node conditions. This feedback loop enables the system to detect impairments early and trigger appropriate responses before complete failures occur.
2Reliability
If real-time monitoring of network nodes is implemented, then service outages can be detected earlier, but the complexity of the monitoring system increases
Solution Approach 1:
The monitoring system is segmented into distinct functional components: metric collection modules that gather specific performance data, a node evaluation unit that calculates health values, and threshold comparison mechanisms that trigger alerts. This segmentation allows the complex monitoring task to be divided into manageable, specialized subsystems.
Solution Approach 2:
The node evaluation unit serves multiple functions by collecting various performance metrics, calculating health values, comparing against thresholds, and generating alerts. This multi-functional approach consolidates what could be multiple separate systems into a single versatile monitoring component, managing complexity through functional integration.
3Measurement precision
If continuous monitoring of all network nodes is performed, then impairment detection accuracy improves, but the computational resources and processing time required increase
Solution Approach 1:
The system changes parameters by establishing threshold values for node health metrics and using these thresholds to determine when detailed analysis is needed. By monitoring key parameters continuously and only triggering full evaluation when thresholds are breached, the system maintains high detection accuracy while reducing overall computational resource consumption during normal operation.
Data Source
AI summary
Embodiments of the present disclosure describe a system an method for detecting impairments in a network. The network may be a hybrid fiber-coaxial (HFC) network. The system may include a node evaluation unit for evaluating the operation of one or more nodes in the network to determine whether the nodes are operating as desired, or whether service is required.