Connection Performance Monitoring for Data Communications
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Solution Overview
Problem
Existing systems and networks are unable to identify when data connections become degraded, leading to bottlenecks and stall conditions due to their focus on inactive connections rather than degraded ones.
Innovation Solution
A method and apparatus that monitor data communication connections to determine current performance parameters, comparing them to predetermined thresholds to identify degraded connections, and trigger alerts when performance falls below these thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing systems focus on monitoring inactive connections, then they can detect connection failures, but they cannot identify degraded connections leading to bottlenecks and stall conditions
Solution Approach 1:
The patent changes the monitoring parameter from binary active/inactive connection status to continuous performance parameter measurement (such as data transfer rates, latency, packet loss). This enables the system to detect degraded connections by comparing current performance parameters against historical baselines, thereby identifying connections that are still active but performing poorly, which prevents bottlenecks and stall conditions before they occur.
2Reliability
If the system monitors all connection parameters continuously, then degraded connections can be identified early, but system complexity and resource consumption increase
Solution Approach 1:
The patent applies partial monitoring by focusing only on connections that exhibit performance degradation relative to their historical baselines, rather than continuously monitoring all connections with equal intensity. The system establishes baseline performance parameters and only triggers detailed analysis when current measurements deviate from these baselines, reducing overall system complexity while maintaining reliable degradation detection.
Solution Approach 2:
The system implements feedback mechanisms where historical performance data is continuously updated and used to dynamically adjust monitoring thresholds. This feedback loop allows the system to adapt to changing network conditions and learn normal performance variations, reducing false positives and enabling simpler monitoring rules that maintain high reliability without excessive complexity.
Data Source
AI summary
A method for monitoring connections for communicating data is provided. The method includes monitoring communication of data from a device over a connection. A current connection performance parameter for the connection is determined based on the monitoring. The current connection performance parameter is compared with a predetermined threshold. If the current connection performance parameter is less than or equal to the predetermined threshold, the connection is determined to be degraded. An alert may be provided to a user if the connection is determined to be degraded and an alert condition is met.