Dynamic Network Tunnel Profiles via Control Platform
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing network tunnel configurations are statically configured, resource-intensive, and require extensive maintenance, leading to long implementation cycles and significant packet loss during parameter changes, with limited fine-tune control and backward compatibility issues.
Innovation Solution
A control platform generates flexible, programmable, and scalable network tunnels on demand using machine learning models to create encapsulation and route profiles, enabling dynamic tunnel parameter adjustments and efficient resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If static network tunnel configurations are used, then network stability is maintained, but device complexity and maintenance requirements increase significantly
Solution Approach 1:
The patent transforms static tunnel configurations into dynamic, programmable tunnels using software-defined networking. The control platform enables dynamic creation, modification, and deletion of tunnels based on demand, replacing complex static configurations with programmable interfaces that automatically adapt to changing network requirements.
Solution Approach 2:
The invention replaces traditional mechanical network configuration systems with software-based control platforms. Instead of manual configuration of routing and tunneling parameters, the system uses software applications and APIs to programmatically define tunnel behavior, eliminating the need for complex mechanical configuration processes.
2Ease of manufacture
If traditional tunnel configuration methods are used, then implementation is straightforward, but implementation cycles become excessively long
Solution Approach 1:
The control platform performs preliminary actions by pre-defining tunnel templates, policies, and routing paths before actual tunnel creation is needed. When a tunnel is required, the system can quickly instantiate pre-configured templates or automatically generate tunnels based on stored network topology and policy information, dramatically reducing implementation time.
Solution Approach 2:
The system uses copying by creating virtual instances of tunnel configurations through software. Instead of physically configuring each tunnel endpoint, the control platform creates virtual tunnel representations that are replicated across the network, enabling rapid deployment without repeated manual configuration.
3Adaptability or versatility
If existing tunnel systems are used, then backward compatibility is maintained, but fine-tune control capability is limited
Solution Approach 1:
The control platform provides universal functionality that supports both legacy tunnel types and advanced programmable tunnels. The system can handle traditional IPsec, GRE, and other tunneling protocols while simultaneously enabling custom encapsulation, traffic engineering, and policy-based routing, making it applicable to diverse network requirements without sacrificing compatibility.
Solution Approach 2:
The system enables fine-tune control by allowing dynamic modification of tunnel parameters such as encapsulation type, routing path, QoS policies, and security settings. The control platform can change these parameters in real-time based on network conditions or policy requirements, providing granular control over tunnel behavior while maintaining compatibility with existing infrastructure.
4Adaptability or versatility
If dynamic tunnel creation is implemented, then flexibility and scalability improve, but resource consumption increases
Solution Approach 1:
The control platform merges multiple tunnel management functions into a single centralized system. Instead of each network device independently managing its own tunnels, the platform consolidates control logic, routing decisions, and resource allocation into one unified controller, reducing redundant processing and optimizing resource utilization across the entire network.
Solution Approach 2:
The system implements self-service capabilities where the control platform automatically manages tunnel lifecycle operations including creation, modification, and teardown. The platform autonomously selects optimal routing paths, allocates network resources, and adapts tunnel parameters without requiring manual intervention, reducing operational overhead and optimizing resource consumption.
Data Source
AI summary
A device receives network information associated with a network and server information associated with one or more server devices, wherein the network is associated with a network device and the one or more server devices. The device generates, based on the network information and the server information, an encapsulation profile for a tunnel encapsulation path and a route profile for the tunnel encapsulation path. The device provides, to the network device, the encapsulation profile for the tunnel encapsulation path and the route profile for the tunnel encapsulation path, and provides, to the one or more server devices, the encapsulation profile for the tunnel encapsulation path. The tunnel encapsulation path is provided between the network device and the one or more server devices, via the network, based on the encapsulation profile for the tunnel encapsulation path and the route profile for the tunnel encapsulation path.