SDN Multi-Layer Controller for Dynamic IP Optical Mapping
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Solution Overview
Problem
Conventional approaches to managing multi-layer networks fail to perform joint global optimization, leading to inefficient use of IP and optical resources due to fixed mappings and separate consideration of traffic routing in the IP and optical layers, resulting in high resource utilization and inability to adapt to network changes such as outages or traffic spikes.
Innovation Solution
A software-defined network multi-layer controller (SDN-MLC) with an optimization algorithm that communicates across multiple layers, forecasts network conditions using machine learning, and implements configuration changes to dynamically adjust the mapping between IP and optical layers in real-time, utilizing spare resources and optimizing traffic routing to maintain performance within predetermined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed mapping between IP and optical layers is used, then device complexity is reduced, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic mapping between IP and optical layers that automatically adjusts routing paths and resource allocation based on real-time network conditions, traffic patterns, and component availability. This dynamic approach replaces fixed mappings, allowing the system to optimize resource utilization efficiency while maintaining manageable complexity through automated control algorithms.
2Ease of operation
If separate consideration of IP and optical layers is used, then ease of operation is improved, but adaptability to network changes deteriorates
Solution Approach 1:
The patent merges the management of IP and optical layers into a unified multi-layer optimization framework that jointly considers both layers when making routing and resource allocation decisions. This combined approach enables the system to adapt to network changes in both layers simultaneously, improving adaptability while maintaining ease of operation through integrated automated control that presents a single management interface.
3Loss of energy
If joint multi-layer global optimization is implemented, then resource utilization efficiency is improved, but device complexity increases
Solution Approach 1:
The patent introduces a multi-layer controller as an intermediary component that centralizes the complex optimization algorithms and coordination logic. This intermediary handles the computationally intensive joint optimization tasks, allowing the underlying network devices to remain relatively simple while achieving high resource utilization efficiency through the controller's global optimization capabilities.
4Reliability
If dynamic reconfiguration is implemented to address unscheduled outages, then reliability is improved, but response time increases
Solution Approach 1:
The patent implements preliminary action by pre-calculating and storing alternative routing paths and resource allocation configurations for various failure scenarios. When an unscheduled outage occurs, the system can quickly switch to pre-prepared configurations rather than performing complex optimization from scratch, thereby improving reliability while minimizing reconfiguration time.
Data Source
AI summary
A software-defined network multi-layer controller (SDN-MLC) may communicate with multiple layers of a telecommunication network. The SDN-MLC may have an optimization algorithm that helps manage, in near real-time, the multiple layers of the telecommunication network.