Diameter Overload Prediction Using Load Information
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Solution Overview
Problem
Current Diameter overload control mechanisms fail to detect and report overload conditions quickly enough, leading to network congestion and potential failure, especially during sudden spikes in activity such as emergencies in populated areas.
Innovation Solution
Implementing a system with a Diameter node that extracts load information from messages, detects traffic patterns, predicts imminent overload conditions, and communicates warnings to other nodes before the overload occurs, using algorithms to convert load metrics into actionable overload predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current Diameter overload control mechanisms are used to detect and report overload conditions, then the system can identify when nodes are overloaded, but the detection and reporting is not fast enough to prevent network congestion and failure during sudden activity spikes
Solution Approach 1:
The patent applies preliminary action by detecting traffic patterns and predicting overload conditions before they actually occur. The system monitors load information from Diameter messages, identifies patterns indicating impending overload, and sends warnings to other Diameter nodes in advance, allowing them to take preventive measures before the overload condition manifests.
Solution Approach 2:
The patent implements feedback by continuously monitoring load information in Diameter messages and using this feedback to predict future overload conditions. The system creates a closed-loop mechanism where load data is collected, analyzed for patterns, used to generate predictions, and then communicated back to the network to trigger preventive actions.
2Measurement precision
If the system monitors and analyzes load information from all Diameter messages to predict overload conditions, then prediction accuracy improves, but the complexity of the prediction system increases
Solution Approach 1:
The patent applies the extraction principle by pulling out only the necessary load information from Diameter messages for analysis. The system extracts specific load metrics and parameters from the messages rather than processing entire message contents, reducing computational complexity while maintaining prediction accuracy.
Solution Approach 2:
The patent applies partial action by monitoring a selected subset of load information parameters that are most indicative of overload conditions. Rather than analyzing every aspect of each Diameter message, the system focuses on key load metrics that provide sufficient predictive capability with reduced processing overhead.
Data Source
AI summary
Methods, systems, and computer readable media for predicting imminent Diameter overload conditions using load information are disclosed. One embodiment of a system for implementing the subject matter described herein includes a first Diameter node including at least one network interface for receiving Diameter messages and a Diameter overload prediction unit. The Diameter overload prediction unit may be configured to extract load information from the Diameter messages, detect a traffic pattern using the extracted load information, predict at least one overload condition associated with one or more other Diameter nodes, and communicate an indication of the predicted overload condition to at least some of the other Diameter nodes before a time at which the overload condition is predicted to occur.