Optical Network Utilization Efficiency via Random Demand Set
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Solution Overview
Problem
Conventional methods for calculating optical network utilization efficiency, such as blocking rate and network load, fail to provide an economically effective comparison among different optical networking solutions, as they do not accurately reflect the utilization of network capacity and demand distribution.
Innovation Solution
A method is disclosed that generates a random demand set representing 100% of the transmission capacity in an optical network, using a random demand set generator and a demand fill ratio (DFR) calculator, which evaluates network utilization efficiency by assigning demands to wavelength slots and considering wavelength conversion, thereby providing a more accurate metric for comparing wavelength assignment algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods (blocking rate, network load) are used to calculate utilization efficiency, then the calculation process is simple, but the accuracy of evaluating network capacity utilization is insufficient
Solution Approach 1:
The patent applies preliminary action by pre-generating a random demand set that represents 100% of transmission capacity before evaluating utilization efficiency. This random demand set is created by randomly selecting node pairs and wavelength slots, ensuring all capacity is accounted for. When this pre-generated demand set is applied to the network, it provides an accurate baseline for measuring actual utilization without requiring complex real-time calculations during operation.
2Measurement precision
If a random demand set representing 100% capacity is generated and assigned, then accurate utilization metrics are obtained, but the computational complexity increases
Solution Approach 1:
The random demand set is generated in advance as a static data structure representing all possible wavelength slot assignments across the network. This pre-computation allows the evaluation phase to simply match actual network demands against this predetermined set, dramatically reducing calculation time while maintaining 100% capacity coverage accuracy.
Solution Approach 2:
The patent creates a virtual copy of the network capacity in the form of a random demand set that mirrors the 100% transmission capacity. This copy can be manipulated and evaluated without affecting the actual network operations, allowing for rapid what-if analysis and utilization measurement without time-consuming simulations of actual network states.
3Productivity
If wavelength slot assignments are continuously tracked and re-optimized, then network efficiency improves, but system complexity and processing overhead increase
Solution Approach 1:
The random demand set structure enables the network to self-evaluate its utilization efficiency by comparing actual demand assignments against the predetermined 100% capacity representation. The system automatically calculates utilization metrics by matching current wavelength slot usage against the random demand set, providing self-service monitoring and evaluation without requiring complex external optimization algorithms or continuous manual intervention.
Data Source
AI summary
Methods and systems for determining optical network utilization efficiency include generating a random demand set and calculating a demand fill ratio (DFR) based on the random demand set. The random demand set includes network demands for a given optical network topology that provide 100% of the wavelength slots in the optical network topology. The DFR may be calculated using different wavelength assignment algorithms, such as a first fit wavelength assignment algorithm, from the randomly generated demands in the random demand set. The DFR may be calculated without and with wavelength conversion nodes.