Dynamic Networked-Grouping Resource Allocation via Link Scoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional methods for processing networked-grouping data fail to account for its dynamic nature, leading to complexities in resource request processing and updating, especially due to complex linking associations.
Innovation Solution
A system that includes a resource provider and requestor connected via a network, utilizing a linking processor to identify links between entities and a score module to calculate outcome scores based on these links, which are then displayed on connected devices, allowing for dynamic resource allocation and updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional static storage methods are used for networked-grouping data, then data structure simplicity is maintained, but the system fails to account for the dynamic nature of networked-grouping data and cannot permit updates during resource request processing
Solution Approach 1:
The patent transforms static storage into dynamic storage by implementing a system that allows networked-grouping data to be updated in real-time during resource request processing. The data storage mechanism adapts to changing relationships between entities, permitting modifications to links and associations without requiring complete system redesign or data restructuring.
Solution Approach 2:
The system performs preliminary identification of links between entities before processing resource requests. By pre-establishing the relational structure and using outcome score modules to evaluate these relationships in advance, the system prepares the data framework to accommodate dynamic updates during the request processing phase.
2Measurement precision
If complex linking associations are processed, then accurate resource allocation decisions can be made, but processing complexity and computational requirements increase
Solution Approach 1:
The patent segments the complex evaluation process into distinct functional modules: link identification, outcome score determination, weight calculation, and resource allocation decision-making. Each module handles a specific aspect of the analysis, breaking down the complex linking associations into manageable computational steps that can be processed systematically.
Solution Approach 2:
The outcome score module acts as an intermediary between the complex linking associations and the resource allocation decision. It translates intricate relationship data into quantifiable scores that simplify the decision-making process, maintaining accuracy while reducing processing complexity through intermediate representation.
3Productivity
If real-time outcome scores are calculated and displayed, then dynamic resource allocation is enabled, but computational processing time and resources increase
Solution Approach 1:
The system implements periodic calculation and updating of outcome scores rather than continuous real-time computation. Scores are recalculated at appropriate intervals or triggered by specific events in the resource request process, maintaining dynamic allocation capability while reducing unnecessary computational overhead and processing time.
Data Source
AI summary
Techniques described herein include a system, method, and computer-readable medium for providing networked-grouping data processing when concurrently processing a resource request. Upon receiving a resource request, a networked-grouping related to the resource request is identified, and the attributes of the networked-grouping are analyzed to further decide to fulfill the resource request. Clusters of networked-groupings are also used to identify resource targets.