Multi-Cluster SDN Control Plane for Scalable Lifecycle Management

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Solution Overview

Problem

Conventional SDN architectures face challenges in cloud-native adoption due to complexity in life cycle management, high resource analytics requirements, scale limitations, and the lack of a command-line interface (CLI)-based interface, which hinders efficient deployment and management of virtual networks.

Innovation Solution

A cloud-native SDN architecture is implemented with a centralized configuration and control plane using a container-based microservices architecture, leveraging Kubernetes constructs for scalable and modular upgrades, and integrating with orchestration platforms like Kubernetes and OpenStack for efficient network resource provisioning and management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional SDN architecture is used, then network control functionality is provided, but life cycle management complexity increases and scalability is limited

Engineering Contradiction:

ImprovescalabilityVSAvoidlife cycle management complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The SDN controller is segmented into multiple independent controller instances distributed across different clusters. Each controller manages a specific cluster, allowing independent deployment, scaling, and maintenance of individual controller instances without affecting the entire system. This segmentation resolves the contradiction by enabling scalability while simplifying life cycle management through modular architecture.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The controller instances implement universal management capabilities that can handle multiple clusters and diverse deployment scenarios. The standardized controller interface and common management plane provide multi-functional support across different environments, achieving scalability without proportionally increasing management complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Productivity

If SDN controller is deployed across multiple clusters, then scalability and performance are improved, but deployment complexity and integration challenges increase

Engineering Contradiction:

Improvedeployment efficiencyVSAvoiddeployment complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary configuration by establishing a standardized controller template and deployment framework before actual multi-cluster deployment. This preliminary setup includes predefined networking patterns, security policies, and integration interfaces that can be replicated across clusters, thereby improving deployment efficiency while reducing the complexity of actual deployment operations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The deployment methodology uses copying of standardized controller configurations and networking templates across multiple clusters. Instead of manually configuring each cluster independently, the system replicates proven configurations, reducing deployment complexity while maintaining consistency and efficiency across the distributed architecture.

Inventive Principle:

Principle #26Copying

3Reliability

If centralized SDN control is used, then network management is simplified, but single point of failure risk and scalability are limited

Engineering Contradiction:

Improvefault toleranceVSAvoidarchitecture complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The centralized control architecture is segmented into distributed controller instances deployed across multiple clusters. This segmentation eliminates the single point of failure by ensuring that if one controller instance fails, other instances continue to manage their respective clusters independently, thereby improving fault tolerance while maintaining manageable architecture complexity through modular design.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system changes the architectural parameter from centralized to distributed control while maintaining the essential centralized management benefits. This parameter change enables fault tolerance through redundancy while controlling architecture complexity through standardized interfaces and coordinated management protocols among the distributed controllers.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12556446B2Cloud native software-defined network architecture for multiple clusters

Publication Date: 2026.02.17 JUNIPER NETWORKS INC

AI summary

In an example, a network controller for an SDN architecture system includes processing circuitry of a central cluster of first one or more compute nodes; a configuration node configured for execution by the processing circuitry; a control node configured for execution by the processing circuitry. The configuration node includes a custom API server to process requests for operations on custom resources for SDN architecture configuration. Each of the custom resources for SDN architecture configuration corresponds to a type of configuration object in the SDN architecture system. The control node, in response to detecting an event on an instance of a first custom resource of the custom resources, obtains configuration data for the instance of the first custom resource and configures a corresponding instance of a configuration object in a workload cluster of second one or more compute nodes. The first and second compute nodes may be distinct.