Router Estimation Using Slice Correlation for Silent Failures
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Solution Overview
Problem
In communication systems, silent failures occur in network slices despite no apparent issues in routers, making it difficult to identify the cause of performance deterioration in function elements.
Innovation Solution
A router estimation system and method that calculates correlation decrease degrees between slice communications, identifies pairs satisfying decrease conditions, and estimates routers causing performance deterioration by analyzing router group data and performance indices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional router monitoring is used, then router status can be detected, but silent failures causing performance deterioration cannot be identified
Solution Approach 1:
The patent introduces slice communication performance data as an intermediary indicator to detect router issues. Instead of directly monitoring router status, the system monitors the performance of slice communications passing through routers. When correlation decreases between expected and actual slice communication performance, it indicates a silent failure in the router, enabling detection of issues that traditional monitoring would miss.
Solution Approach 2:
The system establishes a feedback mechanism by continuously calculating correlation between expected and actual slice communication performance. When the correlation decrease degree exceeds a threshold, the system identifies the problematic router and can trigger corrective actions. This closed-loop feedback enables dynamic detection and response to silent failures that traditional static monitoring cannot catch.
2Measurement precision
If router group data and correlation analysis are implemented, then accurate router estimation is achieved, but system complexity increases
Solution Approach 1:
The patent segments the monitoring task by dividing slice communications into pairs and analyzing their correlation individually. Instead of monitoring all slice communications simultaneously as a whole system, the method breaks down the complex monitoring problem into manageable pairs of slice communications, calculating correlation decrease degrees for each pair. This segmentation makes the complex analysis tractable and implementable.
Solution Approach 2:
The system performs partial analysis by focusing on specific pairs of slice communications rather than analyzing all possible combinations exhaustively. By selecting representative pairs and calculating their correlation decrease degrees, the system achieves effective router estimation without the computational burden of complete analysis, applying partial action to solve the complex problem efficiently.
Data Source
AI summary
Provided are a router estimation system and a router estimation method which enable accurate estimation of a router that is a cause of silent failures in network slices. A policy manager (90) identifies, for each one of a plurality of slice communications held in a communication system, the number of pairs that include the slice communication and that are each linked to a degree of correlation decrease satisfying a decrease determination condition. The policy manager (90) estimates at least one router as a router that is a cause of deterioration of performance of function elements related to the slice communication, the at least one router being included in a group of routers which are identified based on router group data and which are located on a route of the slice communication for which the number of the pairs that satisfies a given pair count condition is identified.