Network Configuration Auto-Deployment for Heterogeneous SDN
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Solution Overview
Problem
The coexistence of traditional physical networks, virtual networks, and Software Defined Networking (SDN) networks poses challenges in effective management and interconnection, requiring a method to efficiently manage and deploy network configurations across these diverse environments to provide seamless services to users.
Innovation Solution
A network configuration auto-deployment method that involves generating service templates and resource pools, matching service units with network resources, and allocating network parameters to ensure efficient resource utilization and service orchestration across physical, virtual, and SDN networks, utilizing a network model that divides resources into zones based on roles and functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional physical networks, virtual networks, and SDN networks coexist, then network service coverage and flexibility are improved, but network management complexity and difficulty increase
Solution Approach 1:
The patent segments the heterogeneous network resources (physical networks, virtual networks, SDN networks) into distinct resource pools, each managed independently. This segmentation allows the system to handle different network types separately, reducing overall management complexity while maintaining comprehensive service coverage across all network types.
Solution Approach 2:
The patent introduces a network configuration auto-deployment system as an intermediary layer between the heterogeneous network resources and the service requirements. This intermediary automatically translates service requirements into appropriate network configurations across different network types, shielding users from the underlying complexity while enabling versatile service delivery.
2Manufacturing precision
If manual network configuration and deployment is performed, then configuration accuracy can be ensured, but deployment time and administrative burden increase
Solution Approach 1:
The patent implements self-service through automated configuration generation and deployment. The system automatically translates service requirements into network configurations and deploys them without manual intervention, maintaining accuracy through standardized templates while dramatically reducing deployment time and administrative burden.
Solution Approach 2:
The patent employs preliminary action by pre-defining service templates and resource pool configurations. These templates contain pre-configured parameters and settings that can be directly applied when deploying services, ensuring configuration accuracy while eliminating the need for manual setup and reducing deployment time.
3Productivity
If network resources are densely allocated, then resource utilization efficiency is improved, but service deployment flexibility decreases
Solution Approach 1:
The patent creates universal resource pools that can serve multiple service types and network configurations. These resource pools are designed to be multi-functional, allowing the same pool to support different services with varying density requirements, thereby maintaining both high resource utilization efficiency and service deployment flexibility through a single versatile infrastructure.
Data Source
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AI summary
According to an example of the present disclosure,a service template providing a service may be found according to type of the service.A resource zone matching the service template may be found from a resource pool. A network resource matching a service unit in the service template may be found from the resource zone.A network parameter configured for the service unit may be sent to the network resource.