SDN Multi-Layer Controller Dynamic Network Optimization
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Solution Overview
Problem
Conventional network optimization approaches fail to adapt to dynamic changes in network conditions, such as scheduled or unscheduled outages and traffic fluctuations, leading to inefficient traffic routing and potential network congestion.
Innovation Solution
A software-defined network multi-layer controller (SDN-MLC) that communicates with multiple layers of a telecommunication network, using optimization algorithms to dynamically adjust the configuration of optical and router layers in near real-time, allowing for joint global optimization and efficient traffic management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional network optimization approaches are used, then network configuration remains stable, but the system cannot adapt to dynamic changes in network conditions
Solution Approach 1:
The patent implements dynamic configuration adjustment by enabling the network system to automatically modify routing paths, bandwidth allocation, and resource distribution in real-time based on detected network conditions such as traffic load, link failures, or quality of service requirements, thereby resolving the contradiction between maintaining stability and adapting to changes
Solution Approach 2:
The system employs continuous monitoring and feedback mechanisms that detect network condition changes and automatically trigger optimization algorithms to adjust configurations, creating a closed-loop control system that adapts dynamically without manual intervention, thus improving adaptability while maintaining rapid response times
2Productivity
If manual network optimization is performed, then configuration changes are precise, but the process is time-consuming and cannot keep pace with network dynamics
Solution Approach 1:
The patent implements self-service optimization through automated algorithms that independently analyze network conditions, evaluate multiple routing options, and execute configuration changes without human intervention, thereby dramatically increasing optimization speed while maintaining precision through algorithmic decision-making based on real-time data
Solution Approach 2:
The system dynamically adjusts multiple network parameters including routing paths, bandwidth allocation, and resource distribution simultaneously based on real-time conditions, enabling rapid comprehensive optimization that maintains precision through coordinated parameter modification rather than sequential manual changes
3Reliability
If frequent network reconfiguration is performed to adapt to changes, then network performance improves, but system complexity and computational overhead increase
Solution Approach 1:
The patent segments the network optimization problem into manageable components such as individual routing decisions, bandwidth allocation, and resource management, allowing the system to handle complexity through modular processing while maintaining overall network performance through coordinated optimization of each segment
Solution Approach 2:
The system performs partial optimization by focusing computational resources on only those network segments or parameters that require adjustment based on current conditions, rather than reconfiguring the entire network, thereby reducing computational overhead while maintaining reliability through targeted optimizations
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.