Network Asset Pairing via Distributed Segmentation
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Solution Overview
Problem
Legacy network systems face challenges in handling high volumes of time-sensitive requests due to their centralized architecture, which limits their ability to efficiently pair request objects with network response assets, especially when these assets exhibit non-uniform characteristics.
Innovation Solution
An apparatus and method that select a network response asset based on request parameters and characteristics, including location and authorization status, to efficiently pair and authorize request data objects with network response assets, optimizing the pairing process by determining an ordered list of assets and transmitting request data objects to the most suitable asset.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a centralized set of network response assets is used to address requests, then the system can maintain centralized control and coordination, but the system experiences difficulties in fulfilling high volumes of time-sensitive requests due to processing bottlenecks
Solution Approach 1:
The patent divides the centralized network response assets into multiple distributed response assets spread across different locations. Each response asset can independently process requests, eliminating the single-point bottleneck and enabling parallel processing of high volumes of time-sensitive requests.
Solution Approach 2:
The patent introduces a spatial dimension to the network architecture by distributing response assets across multiple geographic locations. This dimensional expansion allows the system to handle requests in parallel across different spatial points, dramatically increasing throughput and reducing delays.
2Productivity
If a distributed set of network response assets is used to simultaneously process numerous requests, then the system can handle high volumes of requests and scale by adding assets, but the system faces challenges in efficiently pairing request objects with response assets due to non-uniform characteristics
Solution Approach 1:
The patent implements a pairing system that continuously monitors request characteristics and response asset availability, using this feedback to dynamically optimize pairings. The system learns from pairing outcomes and adjusts future pairings to improve efficiency while managing the complexity of non-uniform distributed assets.
Solution Approach 2:
The patent transforms the pairing problem by changing the parameters used for matching - instead of trying to match all characteristics of non-uniform assets, the system focuses on key parameters such as geographic proximity, asset type compatibility, and current availability status, simplifying the pairing decision process.
3Measurement precision
If request parameters and response asset characteristics include detailed location information for optimization, then the pairing accuracy improves, but the data processing and communication overhead increases
Solution Approach 1:
The patent extracts only the essential location parameters needed for effective pairing - specifically geographic coordinates and proximity metrics - while discarding redundant detailed location information. This extraction maintains pairing accuracy by preserving the most critical spatial relationships while minimizing data processing energy consumption.
Data Source
AI summary
An apparatus, method, and computer program product are provided to pair request data objects with network response assets and their related systems to allow for the efficient movement of network resources and other resources in high-volume network environments that feature distributed network response assets. In some example implementations, location information such as triangulated position information associated with one or more mobile devices, along with other system characteristics is used to identify optimized pairs of request objects and response assets, such that request parameters, such as position and time constraints, can be efficiently met.