Automated Network Remediation via Device-Specific Alert Classification
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Solution Overview
Problem
Network performance degradation due to hardware and software failures, errors, and impaired user interface functions in distributed computer server systems is not effectively addressed by existing technologies.
Innovation Solution
A system that automatically identifies and implements remediation actions based on device roles, models, and operating systems by extracting parameters from alerts, using a command set to diagnose and correct performance issues through secure access and execution of device integrity and interrogation commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring and remediation actions are taken for network performance issues, then user intervention and control are maintained, but response time and productivity are reduced
Solution Approach 1:
The system enables self-service by automatically executing remediation actions without requiring user intervention. The computer-implemented method autonomously identifies performance issues, selects appropriate remediation actions from predefined sets, and executes them directly, allowing the network system to service itself and eliminating the need for manual user involvement in routine maintenance tasks.
Solution Approach 2:
The system implements preliminary action by pre-defining multiple remediation actions for different alert types before issues occur. The method stores predefined remediation action sets associated with various alert types, enabling the system to immediately execute appropriate remedies when issues are detected, rather than requiring real-time user decision-making and manual intervention.
2Adaptability or versatility
If generic remediation actions are applied to all devices, then implementation simplicity is improved, but device-specific performance and adaptability deteriorate
Solution Approach 1:
The system applies local quality by tailoring remediation actions to specific device characteristics. The method determines device role, device model, and operating system from alert data, then selects remediation actions specifically optimized for that device type and configuration. This ensures each device receives customized remediation rather than generic treatments, improving adaptability while managing complexity through automated classification.
Solution Approach 2:
The system utilizes parameter changes by dynamically adjusting remediation action selection based on extracted alert parameters. The method changes the approach to remediation based on parameters such as device role, model, and operating system, selecting from different predefined action sets depending on these parameter values. This enables flexible, parameter-driven adaptation without requiring complex real-time decision algorithms.
3Productivity
If multiple alert types are manually processed individually, then detailed analysis is maintained, but time consumption and productivity deteriorate
Solution Approach 1:
The system implements universality by creating a single integrated method that handles multiple alert types through a unified process. The computer-implemented method universally processes different alert types (performance degradation, hardware failures, software errors, interface impairments) using the same automated workflow of extracting parameters, selecting remediation actions, and execution, eliminating the need for separate manual processing procedures for each alert type.
Solution Approach 2:
The system applies preliminary action by pre-categorizing alert types and pre-defining appropriate remediation action sets for each category before processing occurs. The method stores multiple alert type classifications and their corresponding remediation actions in advance, enabling rapid automated processing without requiring complex real-time analysis decisions, thus improving efficiency while keeping the processing system manageable.
Data Source
AI summary
Methods, systems, and computer-readable media are disclosed herein that monitor and improve network performance and reliability of a plurality of devices and nodes. In aspects, alert types are categorized based on the role, model, and operating system of a device or node within the network for which the alert was generated. A command set that is responsive to the alert and that is specially configured for the role, model, and operating system of the device or node is automatically selected to address the alert. The command set can be executed against the device or node (or neighboring device/node) in order to investigate the cause or source of the alert. Based on the results returned by the command set's execution, remediation actions can be selected and implemented to improve the technological performance (e.g., memory, CPU, connectivity) of the device or node in the network.