Monitoring Application Automated Response Suspension
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Solution Overview
Problem
Existing network monitoring systems often perform automated corrective actions on communication devices without adequately identifying whether these actions are effective, potentially leading to persistent errors and network deterioration, especially in cases like fiber cuts where automatic corrections may not address the root issue.
Innovation Solution
A monitoring application on a server that receives error counts from network management systems, determines if thresholds for errors or corrective actions are exceeded, and suspends automated corrective actions to allow human evaluation, thereby preventing further potential damage and ensuring effective error resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated corrective actions are continuously performed on eNBs, then network response time is reduced and productivity is improved, but network stability deteriorates due to potential ineffective actions during large-scale issues
Solution Approach 1:
The system dynamically adjusts the automated corrective action mechanism by introducing suspension capability. When error thresholds are exceeded indicating large-scale issues, the system automatically suspends further automated corrective actions. This dynamic adjustment allows the system to be responsive during normal operations while preventing instability during abnormal conditions, resolving the contradiction between productivity and reliability.
Solution Approach 2:
The system implements feedback monitoring of error counts across multiple eNBs to determine when to suspend automated corrective actions. By continuously monitoring error thresholds and adjusting the automation level accordingly, the system ensures that automated actions are taken when appropriate while preventing harmful actions during large-scale issues, thus maintaining both productivity and reliability.
2Productivity
If automated corrective actions are performed without evaluation, then operational efficiency is improved, but error resolution effectiveness deteriorates
Solution Approach 1:
The system monitors error counts and corrective action effectiveness through feedback mechanisms. By tracking whether errors persist after automated corrective actions, the system can identify when manual evaluation is needed, ensuring both operational efficiency and effective error resolution.
Solution Approach 2:
The system introduces a suspension mechanism as an intermediary between automated corrective actions and error resolution outcomes. This intermediary allows the system to pause automated actions when effectiveness is questionable, enabling manual evaluation while maintaining operational efficiency for routine issues.
3Measurement precision
If the system monitors and tracks corrective actions across multiple eNBs, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The monitoring system is designed to handle multiple eNBs and various error types through a universal error counting and threshold monitoring mechanism. This multi-functional approach consolidates what could be multiple separate monitoring systems into one unified solution, improving measurement precision while minimizing the increase in system complexity.
Data Source
AI summary
A method of suspending automated corrective actions by a monitoring application is disclosed. The method comprises a monitoring application executing on a monitoring server a count of errors that lead to alarms experienced by each of a plurality of enhanced node Bs (eNBs) from a network management system (NMS), wherein the NMS records the count of errors experienced by the eNBs result in alarms. The method comprises the monitoring application determining that a pre-defined number of the plurality of eNBs have each exceeded a pre-defined threshold for alarms. The method comprises the monitoring application suspending automated corrective actions on the plurality of eNBs. The method comprises the monitoring application, responsive to suspending automated corrective actions, initiating corrective actions that are associated with the error experienced by the plurality of eNBs.


