Network Performance Indicator Assignment for Optical Path Evaluation
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Solution Overview
Problem
Current methods for evaluating optical performance in networks are computationally intensive and require significant resources, leading to inaccuracies and inefficiencies in assessing light path feasibility, especially during network operations and planning.
Innovation Solution
A method using linear optimization to assign performance indicators to network objects, allowing for quick and accurate evaluation of light path feasibility by summing indicators and comparing them to threshold values, reducing computational and storage needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a posteriori assessment via simulation or optical performance model is used to estimate optical performance, then measurement precision is improved, but computing time increases significantly
Solution Approach 1:
The patent pre-calculates and stores performance indicators for all network objects during an offline phase. This preliminary action allows the system to have assessment results ready in advance, eliminating the need for time-consuming simulations during online routing operations. The performance indicators are computed once and reused multiple times, resolving the contradiction between accuracy and computing time.
Solution Approach 2:
Instead of performing complex optical performance simulations each time a light path needs assessment, the patent creates simplified copies in the form of performance indicators that capture the essential performance characteristics. These indicator values serve as lightweight representations that can be quickly summed and compared without requiring the full simulation machinery, thus maintaining accuracy while dramatically reducing computation time.
2Loss of time
If a priori calculation of all possible light paths is performed in advance, then computing time during routing is reduced, but storage requirements increase significantly
Solution Approach 1:
The patent extracts only the essential performance characteristics from the complex optical performance data. Instead of storing complete simulation results or detailed path information, it extracts simplified performance indicator values for each network object. This extraction reduces the data volume significantly while retaining the critical information needed for rapid routing decisions, resolving the storage time contradiction.
Solution Approach 2:
The patent transforms complex optical performance parameters into simplified indicator values through parameter changes. By converting detailed simulation outputs into compact numerical indicators that can be summed and compared, the system reduces storage requirements while maintaining the ability to make accurate routing decisions. The parameter transformation enables efficient online computation without requiring extensive stored data.
3Measurement precision
If complex and time-consuming computations are performed to assess optical performance with high accuracy, then measurement precision is improved, but productivity decreases
Solution Approach 1:
The patent performs the computationally intensive accuracy-assessment work in advance during an offline phase. By pre-computing performance indicators when network resources are available, the system eliminates the need for complex computations during online operations. This preliminary action resolves the contradiction by sacrificing immediate productivity for long-term operational efficiency while maintaining high measurement precision.
Solution Approach 2:
The patent creates simplified performance indicator copies that retain the essential accuracy information needed for assessment. These indicator values serve as efficient proxies that can be quickly processed during network operations without requiring the full computational resources of detailed simulations. This copying approach maintains measurement precision while dramatically improving productivity during network operations.
Data Source
AI summary
A method of assigning performance indicators to objects of a network employing a computation to assign performance indicators to said objects of said network such that a sum of said performance indicators of objects along a given path in said network in relation to a first threshold value indicates whether said path fulfils a predetermined criterion, and/or indicates whether said path does not fulfil said predetermined criterion.A method of evaluating a performance of a path in a network based on the performance indicators involves the steps of calculating a sum of performance indicators for said objects along said path and evaluating a performance of said path by comparing said sum against a first threshold value.