Network Element Abnormality Detection via Stress Testing
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Solution Overview
Problem
Network elements like routers and switches often experience undetectable abnormalities during regular operation that can lead to errors and failures over time, as standard test routines may not detect these issues within a sufficiently long interval.
Innovation Solution
Incorporating an abnormality detection module within network elements that monitors performance deviations from nominal levels, using stress tests to accelerate the detection of potential issues, and logging abnormalities for diagnosis and prevention of future errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard test routines are used to detect abnormalities in network elements, then the detection process is simple and quick, but abnormalities that develop over time remain undetected
Solution Approach 1:
The system performs preliminary monitoring of network element performance parameters continuously during operation, establishing baseline data before abnormalities fully develop. This allows early detection of deviations from normal operation, enabling preventive maintenance before failures occur, thus resolving the contradiction between quick detection and extended detection coverage.
Solution Approach 2:
The system implements continuous feedback monitoring where performance parameters are constantly measured, compared against thresholds and historical data, and used to adjust monitoring intensity. When anomalies are detected, the system increases monitoring frequency and applies stress tests, creating a dynamic feedback loop that extends effective detection coverage without requiring continuous intensive testing.
2Reliability
If continuous monitoring is performed to detect all abnormalities, then detection coverage is comprehensive, but system complexity and resource consumption increase
Solution Approach 1:
The system applies partial monitoring by focusing on critical performance parameters and only intensifying monitoring (through stress tests) when preliminary indicators suggest potential issues. This selective approach provides comprehensive detection coverage for critical failures while avoiding the complexity and resource consumption of continuous intensive monitoring of all parameters.
Solution Approach 2:
The network element performs self-diagnosis by monitoring its own performance parameters and automatically applying stress tests when anomalies are detected. This self-service capability provides comprehensive monitoring coverage without requiring external monitoring infrastructure, reducing system complexity while maintaining reliable detection coverage.
3Productivity
If stress tests are applied to accelerate abnormality detection, then detection speed increases, but network element performance may be degraded during testing
Solution Approach 1:
The system applies stress tests periodically rather than continuously, only when preliminary monitoring indicators suggest potential abnormalities. This periodic application accelerates detection when needed while allowing the network element to operate normally during intervals between stress tests, thus maintaining both detection speed and network performance.
Solution Approach 2:
The system performs preliminary monitoring to identify potential issues before applying stress tests. This preliminary detection allows targeted stress testing only on network elements showing early signs of problems, accelerating detection of actual abnormalities while minimizing the impact of stress tests on overall network performance by limiting their application to specific cases.
Data Source
AI summary
A method for detecting abnormalities in network element operation. The method includes monitoring at least a portion of the network element for abnormalities and making a determination that an abnormality exists, in response to the monitoring, and based on the determination, tracking the abnormality. An abnormality includes a measured performance that deviates from a nominal performance, but that does not cause erroneous behavior of the network element.