Optical Network Plan Generation via Candidate Link and Path Pre-computation
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Solution Overview
Problem
Current network planning and design systems employ a rigid approach that selects links before computing routes, leading to inefficient network operations and resource wastage due to sub-optimal network plans.
Innovation Solution
A controller platform generates candidate links and paths before selecting links for an optimized optical network plan, using parameters to identify and implement a plan that reduces resource usage, thereby conserving computing and networking resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If links are selected before computing routes in network planning, then the network plan can be determined, but resource usage increases and network efficiency decreases due to sub-optimal plans
Solution Approach 1:
The patent applies preliminary action by generating candidate links and candidate paths before selecting the final network plan. The system pre-computes multiple potential links and paths based on network requirements, then evaluates them to select the optimal combination. This reverses the traditional approach where links are selected first and routes computed later, allowing the system to identify more efficient network configurations that reduce resource usage while maintaining productivity.
2Ease of operation
If a rigid link selection approach is used, then the network plan can be implemented, but the plan becomes sub-optimal leading to inefficient network operations
Solution Approach 1:
The patent applies dynamics by implementing a flexible, multi-stage network planning process that generates and evaluates multiple candidate solutions rather than following a rigid single-path approach. The system dynamically adjusts the network plan by selecting from multiple candidate links and paths based on optimization criteria, allowing the network to achieve optimal operation efficiency while managing complexity through structured evaluation frameworks.
3Reliability
If candidate links and paths are generated before selection, then an optimized network plan can be achieved, but the computation process becomes more complex
Solution Approach 1:
The patent applies segmentation by dividing the network planning process into distinct stages: generating candidate links, generating candidate paths, evaluating combinations, and selecting the optimal plan. This segmentation of the computation process manages complexity by breaking down the overall task into manageable sub-tasks, each with specific objectives and evaluation criteria, while ensuring reliable optimization through systematic assessment of multiple candidates at each stage.
Data Source
AI summary
A device receives network data associated with a network that includes network devices interconnected by links, and receives parameters associated with determining a network plan for the network. The device generates candidate links for each potential network plan of multiple potential network plans for the network, based on the parameters and based on a criterion associated with generating the candidate links. The device generates candidate paths for each potential network plan based on the parameters, and selects a portion of the candidate links and a portion of the candidate paths. The device generates each potential network plan based on the portion of the candidate links and the portion of the candidate paths, and identifies a potential network plan, of the multiple potential network plans, that reduces resource usage associated with operating the network. The device causes the potential network plan to be implemented in the network.