Deployment Recorder for Device-Specific Network Performance History
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Solution Overview
Problem
Existing monitoring systems for network devices focus on preventing network failures and outages, neglecting individual device performance, and lack device-specific monitoring data after deployment, leading to premature decommissioning and increased costs due to incomplete failure detection and lack of performance assessment.
Innovation Solution
Implementing a controller in network devices to record operational parameters locally, storing them in EEPROM memory for later analysis, and using a deployment analysis engine to generate baseline conditions and recommendations for device maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If devices are monitored at network level only, then network reliability is maintained, but device-specific performance assessment is lost
Solution Approach 1:
The monitoring system is segmented into two levels: network-level monitoring for overall reliability and device-level recording for specific performance assessment. The device recorder captures individual device parameters independently, allowing both network-wide oversight and detailed device analysis without interference between levels.
Solution Approach 2:
A device recorder acts as an intermediary component between the device and network monitoring systems. It captures and stores device-specific parameters locally, then exports data to external systems, serving as a bridge that preserves device-level information while maintaining network-level monitoring capabilities.
2Productivity
If devices are removed from network, then resource optimization is enabled, but access to monitoring data is lost
Solution Approach 1:
The device recorder continuously captures and stores operational parameters during the device's network deployment. This preliminary data collection ensures that performance history is preserved before device removal, enabling post-deployment analysis and informed resource optimization decisions.
Solution Approach 2:
The monitoring data extraction function allows retrieval of recorded parameters after device removal. The system extracts stored device-specific data for analysis by fabricators or operators, separating the data access function from the physical device presence in the network.
3Reliability
If devices are decommissioned early, then network performance is maintained, but service life is not met and waste increases
Solution Approach 1:
The system provides feedback through device performance assessment by analyzing recorded parameters against baseline conditions. This feedback mechanism enables data-driven decisions about device continuation or replacement, preventing premature decommissioning while maintaining network performance through informed lifecycle management.
Solution Approach 2:
The assessment system analyzes changes in device operating parameters over time to determine actual device health and performance degradation. By monitoring parameter trends rather than relying on fixed time-based schedules, the system extends device service life until actual performance thresholds are reached.
Data Source
AI summary
Hot pluggable or swappable devices that are easily removed and replaced by a network operator may be monitored for faults and utilized in post-deployment use. Device specific local monitoring and storing of operational parameters during a deployment of a device in a network is described. Additionally, utilizing the recorded operational parameters of device to generate baseline conditions for the device and individualized recommendations for the device is also described.