Network Snapshot Modeling for Routing Impact Forecasting
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Solution Overview
Problem
Large-scale communication networks face challenges in efficiently predicting and adapting to node alterations, such as additions, removals, or reconfigurations, which can significantly impact message routing and network performance, especially in complex mesh networks with millions of nodes.
Innovation Solution
A computer-implemented method that generates network snapshots and models, allowing network analysts to simulate and predict the impact of proposed changes by applying modifications to a network model, using BGP files and routing information to determine optimal paths before actual implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network snapshots and models are generated to simulate and predict the impact of proposed changes, then measurement precision is improved, but device complexity worsens
Solution Approach 1:
The patent creates virtual copies of the network topology and routing information through snapshots that capture the state of the network at specific points in time. These snapshots include topology data, routing information bases (RIB), and other network parameters. By working with these copies rather than the actual live network, the system can perform simulations and predictions without affecting real network operations, thereby improving measurement precision while isolating the complexity to the modeling layer.
Solution Approach 2:
The system performs preliminary actions by generating network snapshots and building predictive models before actual network changes are implemented. The methodology captures the current network state, applies proposed modifications to the model, and determines potential routing impacts in advance. This preliminary simulation allows network operators to assess the consequences of changes before committing to them, improving prediction accuracy while containing complexity in the pre-computation phase.
2Productivity
If rapid assessment of network reconfigurations is enabled, then productivity is improved, but manufacturing precision worsens
Solution Approach 1:
The patent applies partial action by focusing the simulation and assessment on specific aspects of network reconfiguration that are most critical to routing changes. Rather than exhaustively analyzing every possible impact of a network modification, the system identifies and evaluates the key parameters such as topology changes, RIB updates, and routing path modifications. This selective approach enables rapid assessment while maintaining sufficient accuracy for decision-making purposes.
Solution Approach 2:
The assessment process is segmented into distinct phases: capturing network state in snapshots, applying proposed changes to the model, determining routing impacts, and generating results. Each segment can be executed independently and optimized for speed. The segmentation allows the system to provide rapid feedback on network reconfigurations while maintaining model accuracy through structured, modular processing of network data.
Data Source
AI summary
This disclosure pertains to computer-assisted methods, apparatus, and systems for forecasting network performance responsive to network reconfigurations in large scale communication networks.