Cloud NMS Correlating Link Quality with Wireless Signal
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Solution Overview
Problem
Existing technologies face challenges in efficiently monitoring and managing network performance, particularly in identifying the root cause of poor link quality in wide area networks (WANs), especially when correlated with wireless signal quality.
Innovation Solution
A cloud-based network management system (NMS) that receives path data from network devices to monitor and quantify link quality of wireless WAN links, correlating it with wireless signal quality to identify potential root causes of poor link quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network administrators manually monitor and diagnose network link quality issues, then they can identify problems, but the process is time-consuming and inefficient
Solution Approach 1:
The system enables automatic self-diagnosis of network link quality issues by correlating link quality metrics with wireless signal quality metrics without requiring manual administrator intervention. The NMS automatically identifies when poor link quality correlates with poor wireless signal quality, allowing the network to diagnose itself and reducing both time loss and improving productivity.
2Measurement precision
If the NMS monitors multiple parameters simultaneously, then it can identify root causes more accurately, but the system complexity increases
Solution Approach 1:
The patent introduces a correlation analysis mechanism as an intermediary that connects link quality metrics with wireless signal quality metrics. Rather than directly monitoring all possible parameters, the system uses correlation analysis to identify relationships between key parameters, achieving accurate root cause identification while managing system complexity through focused monitoring of specific metric relationships.
3Reliability
If the NMS collects and analyzes extensive path data from multiple network devices, then it can provide comprehensive network monitoring, but the data processing requirements and computational load increase
Solution Approach 1:
The system extracts and focuses on specific critical metrics from the extensive path data collected from multiple network devices. Rather than processing all available data, the NMS extracts link quality metrics and wireless signal quality metrics that are most relevant to identifying root causes of network issues, reducing computational energy requirements while maintaining reliable comprehensive monitoring through targeted analysis of key parameters.
Data Source
AI summary
A cloud-based network management system (NMS) stores path data from network devices operating as network gateways for an enterprise network, the path data collected by each network device of the plurality of network devices. The NMS determines, for a logical path within a specified time window, a wireless signal quality and a link quality based at least in part on the path data. The NMS, in response to determining that the logical path is of a poor link quality, determine a correlation between a poor wireless quality and the poor link quality. The NMS may output a notification that indicates the correlation between the poor wireless quality and the poor link quality of the logical path.