Dynamic Data Reporting for Condition-Based Network Load Reduction
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Solution Overview
Problem
Network management devices experience heavy load and poor performance due to receiving large amounts of data from devices reporting based on fixed periodicities, leading to redundant sampling and increased analysis pressure.
Innovation Solution
A data obtaining method where a first device sends a message with conditions and periodicities to a second device, allowing it to report data only when specific conditions are met, dynamically adjusting the reporting frequency based on actual needs, thereby reducing redundant sampling and device load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If devices report data based on fixed periodicity, then data collection is simple and systematic, but the network management device receives large amounts of redundant data causing heavy load and poor performance
Solution Approach 1:
The patent transforms the fixed periodicity data reporting mechanism into a dynamic one where reporting intervals are adjusted based on device conditions. The network management device determines different periodicities for different devices based on their operational states, ensuring that data is collected systematically while avoiding redundant transmissions that would overload the management device.
Solution Approach 2:
The patent changes the parameter of reporting periodicity from a fixed value to a variable that adapts to device conditions. By modifying the periodicity parameter dynamically according to device status, the system maintains ease of operation while significantly reducing the volume of redundant data transmitted to the network management device.
2Reliability
If devices report data frequently with fixed periodicity, then data freshness is ensured, but redundant sampling increases device load and analysis pressure
Solution Approach 1:
The patent implements dynamic adjustment of reporting periodicity based on device conditions. When devices are operating normally, reporting intervals are extended to reduce redundant sampling. When anomalies are detected, the system automatically increases reporting frequency to ensure data freshness, thus balancing reliability with energy efficiency.
Solution Approach 2:
The patent applies partial action by reporting data at full frequency only when necessary (during abnormal conditions), and reducing reporting frequency during normal operation. This selective approach ensures data freshness is maintained when needed while minimizing redundant sampling and associated energy consumption during stable periods.
3Measurement precision
If network management device analyzes all received data, then comprehensive monitoring is achieved, but the device experiences heavy load and reduced performance
Solution Approach 1:
The patent extracts and filters data based on device conditions before transmission to the network management device. By pre-processing data at the source device and only transmitting relevant information (particularly during abnormal conditions), the system maintains comprehensive monitoring capability while significantly reducing the data volume that requires analysis at the management device.
Solution Approach 2:
The patent dynamically adjusts the scope and frequency of data analysis based on device conditions. The network management device focuses its analytical resources on devices reporting abnormal conditions rather than uniformly analyzing all data from all devices, thereby achieving comprehensive monitoring of critical issues while improving overall analysis performance.
Data Source
AI summary
A data obtaining method includes that a first device generates a first message including a first condition and a first periodicity, where the first condition corresponds to the first periodicity. The first device sends the first message to a second device, so that the second device reports data to the first device based on the first periodicity when the first condition is satisfied.