Optical Network Lightpath Setting via Auxiliary Graph Weighting
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Solution Overview
Problem
Existing technologies face challenges in reducing power consumption in IP/WDM networks when setting new lightpaths, particularly due to the presence of optical regenerators, which can lead to non-optimum lightpath selection and increased power consumption.
Innovation Solution
The solution involves creating an auxiliary graph that represents connection relations between nodes in the optical network, assigning weight values to edges based on the increase in power consumption of network devices, and calculating a minimum weight path to determine the most efficient lightpath settings, considering both existing and new lightpaths, as well as the use of optical regenerators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optical regenerators are used in lightpath settings, then signal transmission capability is improved, but power consumption increases
Solution Approach 1:
The patent changes the parameter representation by creating an auxiliary graph where edge weights represent power consumption values. This allows the system to evaluate and select lightpaths based on power consumption parameters while ensuring signal transmission requirements are met, thus resolving the contradiction between reliability and energy usage.
Solution Approach 2:
The patent introduces an intermediary calculation process that uses auxiliary graphs and weight assignments to mediate between the requirement for optical regenerators (reliability) and the goal of minimizing power consumption. The weight calculation and path selection process acts as a mediator to balance these conflicting requirements.
2Ease of manufacture
If conventional lightpath setting methods are used, then implementation simplicity is maintained, but power consumption optimization is insufficient
Solution Approach 1:
The patent segments the lightpath setting process into distinct steps: creating an auxiliary graph, assigning weight values based on power consumption, calculating minimum weight paths, and setting lightpaths according to results. This segmentation makes the complex optimization process more manageable and implementable while achieving power consumption reduction.
3Speed
If existing lightpath selection methods are used, then processing speed is maintained, but power consumption minimization is not achieved
Solution Approach 1:
The patent performs preliminary actions by pre-calculating and storing auxiliary graphs with weight values assigned to edges representing different lightpath options. When a lightpath needs to be set, the system can quickly query these pre-prepared structures and select the minimum weight path, achieving both fast processing and power consumption optimization.
Data Source
AI summary
An auxiliary graph representing connection relations between nodes on a plurality of lightpaths in an optical network is created using a plurality of edges each connecting a pair of nodes. The plurality of lightpaths includes first lightpaths existing in the optical network and the second lightpaths to be set to accommodate traffic that is newly generated for the optical network. Each of the plurality of edges is assigned a weight value indicating a magnitude of increase in power consumption of network devices allocated to the each edge. For start and end nodes, a minimum weight path that has a path weight value minimum among paths each being a continuous sequence of edges that starts from the start node and reaches the end node is obtained, where the path weight value is a total sum of weight values assigned to the continuous sequence of edges.