Intent-Based Network Model for Legacy Infrastructure
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Solution Overview
Problem
Existing computer networks, especially brownfield networks, are difficult to manage using modern intent-based networking (IBN) tools due to lack of compatibility and the complexity of migrating existing infrastructure without disrupting operations.
Innovation Solution
An intent-based network model is generated for existing computer networks by collecting telemetry and configuration data from network devices, determining the reference network type, and validating the model to allow IBN tools to manage both new and existing infrastructure seamlessly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If modern intent-based networking tools are used to manage existing computer networks, then network management efficiency is improved, but compatibility issues arise because critical information about legacy networks is unknown or not in a format understood by these tools
Solution Approach 1:
The patent introduces an intermediary system that acts as a bridge between legacy networks and modern intent-based networking tools. This intermediary collects and translates critical network information into formats that modern tools can understand, enabling compatibility without requiring changes to the legacy network infrastructure itself.
Solution Approach 2:
The system performs preliminary actions by proactively collecting and storing critical network information from legacy devices before modern management tools can be effectively applied. This advance preparation ensures that when intent-based networking tools are introduced, the necessary data is already available in the required formats.
2Device complexity
If manual monitoring and updating methods are used for computer networks, then simplicity is maintained, but the approach becomes infeasible due to increasing network size and complexity
Solution Approach 1:
The system enables networks to self-service by implementing automated monitoring and management capabilities that allow the network to track and update its own state without human intervention. This self-service approach scales effectively with increasing network complexity while maintaining operational simplicity for users.
Solution Approach 2:
The patent replaces manual mechanical monitoring processes with automated electronic systems. By substituting human operators with automated software agents that continuously collect and analyze network data, the system can handle complex networks efficiently without the limitations of manual management.
3Reliability
If legacy networks are migrated to modern network management tools, then improved network management capability is achieved, but operational disruptions occur during the migration process
Solution Approach 1:
The system performs preliminary data collection and model generation before migration activities begin. By preparing the network information model in advance while the legacy system remains operational, the migration process can proceed with minimal disruption to ongoing network operations.
Solution Approach 2:
The patent creates a copy of the legacy network's information model that can be analyzed and migrated separately from the operational network. This copying approach allows modern management tools to be integrated without directly interfering with the stability and continuity of the live legacy network operations.
Data Source
AI summary
Collectors are provided to network devices of an existing computer network. A reference network type associated with the existing computer network is determined. Based at least in part on telemetry and configuration information received from the collectors and the reference network type, an intent-based network model of the existing computer network is generated. The existing computer network is validated using the generated intent-based network model.