Selective Data Routing in Distributed Networks via Throughput Analysis
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Solution Overview
Problem
Existing optical fiber networks face challenges in maintaining adequate bandwidth due to the limited capacity of single core fibers to balance light and heavy load traffic, leading to frequent bottlenecks and disruptions.
Innovation Solution
A system for selective data routing in a distributed network that uses data throughput analysis to classify data transmissions as either light or heavy load, assigning them to either a Li-Fi network or a multicore optical fiber network based on the classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If single core optical fiber is used for data transmission, then network infrastructure is simplified, but bandwidth capacity and ability to balance light and heavy load traffic deteriorate
Solution Approach 1:
The patent divides the optical fiber network into multiple cores within a single fiber cable. Each core can independently handle data transmissions, allowing the system to segment traffic into light load and heavy load categories. This segmentation enables increased bandwidth capacity while maintaining a relatively simple single-cable infrastructure.
Solution Approach 2:
The patent transitions from a single-dimension approach (one core per fiber) to a multi-dimensional approach (multiple cores within one fiber). By utilizing the spatial dimension within the fiber cable to accommodate multiple cores, the system achieves higher bandwidth capacity without proportionally increasing infrastructure complexity.
2Device complexity
If single core optical fiber is used for data transmission, then infrastructure cost is reduced, but network reliability and resistance to bottlenecks deteriorate
Solution Approach 1:
By segmenting the network into multiple cores within a single fiber cable, the patent creates redundant pathways for data transmission. If one core experiences issues or heavy load, other cores can handle the traffic, improving network reliability and resistance to bottlenecks while keeping the physical infrastructure relatively simple.
Solution Approach 2:
The patent dynamically changes operational parameters (routing decisions) based on real-time network conditions. By monitoring data transmissions and adjusting routing between different cores based on load conditions, the system maintains high reliability without requiring a complex static infrastructure design.
3Device complexity
If data routing is not selectively managed, then routing process is simplified, but network performance and bandwidth utilization deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors data transmissions, determines their size and load characteristics, and uses this information to make intelligent routing decisions. This feedback loop enables selective routing that optimizes network performance while maintaining a manageable routing process through automated decision-making.
Solution Approach 2:
The patent performs preliminary classification of data transmissions before routing them. By determining the size and load characteristics of data in advance, the system can pre-determine the optimal routing path, improving network performance without requiring complex real-time routing decisions during data transmission.
4Quantity of substance
If multi-core optical fiber is implemented, then bandwidth capacity and traffic balancing ability are improved, but infrastructure complexity and maintenance requirements increase
Solution Approach 1:
The patent merges multiple cores within a single optical fiber cable, combining the benefits of high bandwidth capacity with the advantages of a consolidated physical infrastructure. This merging approach allows improved traffic balancing across multiple logical pathways while maintaining a relatively simple single-cable deployment structure.
Data Source
AI summary
Systems, computer program products, and methods are described herein for selective data routing in a distributed network via data throughput analysis in a distributed ledger network. The present invention is configured to receive a request for a data transmission from an endpoint device of a network, determine, via a routing module, a throughput of data associated with the data transmission, determine a classification of the data transmission, and assign the data transmission to an assigned routing channel. The assigned routing channel may include either a first routing channel or a second routing channel based on the classification, wherein the first routing channel is a light load network, and wherein the second routing channel is a heavy load network comprising a first multicore optical fiber.