Network Inventory Discovery Triggering for New Device Detection
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Solution Overview
Problem
Existing wireless telecommunication networks face challenges in efficiently detecting and addressing issues with newly installed network components, leading to delays and increased costs during deployment and maintenance.
Innovation Solution
Implementing a system that electronically listens to event streaming data sources for new device identification, triggers a network discovery tool to interrogate the new device, and updates the network inventory based on the obtained information, using a network inventory tracking control center to manage and reconcile device information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual detection and information collection methods are used for new network devices, then deployment flexibility is maintained, but detection time and deployment delays increase
Solution Approach 1:
The system enables automatic self-detection of new network devices through event stream monitoring. The discovery mechanism autonomously identifies new devices, triggers appropriate discovery tools, and updates inventory without requiring manual intervention, thereby reducing detection time while maintaining manageable system complexity through automated workflows.
Solution Approach 2:
The system performs preliminary actions by continuously monitoring event streams for new device events before formal inventory updates are needed. This proactive approach detects devices as soon as they appear on the network, triggering automated discovery processes that reduce overall detection time and prevent deployment delays.
2Measurement precision
If comprehensive network discovery is performed for all new devices, then inventory accuracy is improved, but processing time and operational complexity increase
Solution Approach 1:
The system applies partial action by selectively triggering network discovery tools based on device type and event characteristics. Rather than performing exhaustive discovery on all devices uniformly, the system intelligently selects appropriate discovery methods for specific device types, maintaining inventory accuracy while optimizing processing speed and resource utilization.
Solution Approach 2:
The discovery process is segmented into different discovery tools tailored to specific device types. The system divides the comprehensive discovery task into specialized segments, each handling particular device categories, thereby improving inventory accuracy for each segment while maintaining overall processing efficiency through parallelized, targeted operations.
3Reliability
If automated event stream monitoring is implemented, then early device detection capability is improved, but system complexity and implementation costs increase
Solution Approach 1:
The system implements feedback mechanisms where event stream monitoring continuously provides information about new devices, which triggers automated discovery processes. The feedback loop ensures reliable device detection by constantly monitoring network events and immediately responding to new device appearances, while the automated nature of the feedback process manages system complexity through standardized response protocols.
Data Source
AI summary
Example embodiments are directed towards systems and methods for triggering of device inventory discovery. The system may electronically listen to one or more event streaming data sources for identification information about new devices on the network. In response to receiving identification information about a new device on the network resulting from the listening, the system triggers a separate network discovery tool to electronically interrogate the new device over the network using the identification information to obtain additional information about the new device. Based on the triggering of the network discovery tool, the system receives the additional information from the network discovery tool about the new device on the network. Then, based on the additional information received from the network discovery tool about the new device on the network, the system may electronically reference an inventory of devices on the network or existing information regarding devices expected to be on the network to take further action.