Network Management System Automatic Device Onboarding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In networks of managed devices, such as ATMs, new devices are not monitored until additional details are added to the network management system's database, leading to a period where they are unmonitored and at risk of undetected faults, causing downtime and potential errors.
Innovation Solution
A network management system that automatically receives and processes device identification data, adds new devices to its database, imports pre-defined device characteristics, and begins monitoring performance data, notifying the owner and assigning status codes, thus reducing the likelihood of undetected faults by initiating monitoring immediately upon device addition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the device owner manually adds device details to the NMS database before monitoring begins, then monitoring accuracy and completeness is improved, but the device remains unmonitored during the manual setup period causing potential undetected faults
Solution Approach 1:
The system performs preliminary actions by automatically detecting and onboarding new devices before the device owner completes manual configuration. The processor identifies devices using device identification data (such as serial numbers or network addresses) and initiates monitoring using pre-defined templates, eliminating the waiting period and ensuring continuous monitoring from device addition.
Solution Approach 2:
The system enables self-service automatic device onboarding where the NMS autonomously detects new devices, retrieves their identification data, matches them against existing records, and configures monitoring parameters without requiring manual intervention from the device owner during the critical initial period.
2Productivity
If automatic device detection and monitoring is implemented, then device monitoring coverage is improved, but system complexity increases due to automatic device discovery and template matching mechanisms
Solution Approach 1:
The system uses pre-defined templates that contain standardized monitoring parameters and performance metrics for different device types. When a new device is detected, the system copies the appropriate template configuration to the device's monitoring profile, eliminating the need to create unique configurations from scratch and reducing system complexity while maintaining comprehensive monitoring.
Solution Approach 2:
The NMS implements a universal device identification and matching mechanism that can handle multiple device types through a single automated process. The system universally applies template-based configuration across different device categories, reducing the need for device-specific manual setup procedures and simplifying the overall system architecture.
Data Source
AI summary
A fault prediction system comprises a processor, a data storage device and a network connection. The processor acts to commence monitoring of a newly notified device upon the network irrespective of whether details of the device are stored in a database on the data storage device or not.