Multi-Provider Resource Allocation With Iterative Residual Balancing
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Solution Overview
Problem
The challenge of fairly distributing resources among a set of providers with varying capabilities to meet a total resource request is not adequately addressed by existing methods, leading to inefficiencies and unfairness in resource allocation.
Innovation Solution
A system and method for resource management that includes sorting and assigning individual resource requests based on a classification number or iteratively recalculating residuals to ensure fair and efficient distribution, using a processor and memory to execute instructions for calculating and implementing resource requests from multiple providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If resources are distributed equally among all providers, then simplicity of allocation is improved, but fairness deteriorates because providers with different capabilities contribute disproportionately
Solution Approach 1:
The patent applies local quality by differentiating resource request calculations based on individual provider characteristics. Providers are classified into groups (e.g., first set vs. second set) with different calculation methods applied to each group, ensuring that each provider's contribution matches their specific capability rather than applying a uniform allocation rule to all.
Solution Approach 2:
The patent changes the parameter of resource request calculation from a fixed equal amount to a dynamic value based on provider classification. The system adjusts the calculation parameters according to each provider's maximum available resources, enabling fair distribution while maintaining computational efficiency through classification-based differentiation.
2Reliability
If resources are distributed based on individual provider capabilities, then fairness is improved, but complexity of allocation increases due to multiple classification and calculation steps
Solution Approach 1:
The patent segments providers into distinct classification groups based on their resource capabilities. By dividing the provider set into manageable categories (e.g., providers with sufficient resources vs. providers with limited resources), the system simplifies the overall allocation complexity while maintaining fairness through targeted calculation methods for each segment.
Solution Approach 2:
The patent performs preliminary classification of providers before resource allocation. By pre-categorizing providers into sets based on their maximum available resources, the system prepares the allocation structure in advance, reducing the computational complexity during the actual resource distribution phase while ensuring fair outcomes.
3Reliability
If some providers are assigned maximum available resources and others split the remaining request, then fairness is improved, but calculation complexity increases due to iterative residual recalculation
Solution Approach 1:
The patent performs preliminary classification of providers into sets based on their resource capabilities before initiating iterative calculations. By pre-identifying which providers should receive maximum resources versus those who should split remaining resources, the system reduces the scope and time of iterative residual recalculation while maintaining fairness in the final distribution.
Data Source
AI summary
According to one aspect, a system for resource management may perform receiving a total resource request, a vector of two or more maximum available resources associated with two or more corresponding resource providers, and a number of resource providers and calculating an individual resource request for each of the two or more resource providers by iteratively comparing the vector of two or more maximum available resources with a vector of a current average resource residual, taking a minimum between those vectors as a running tally for the individual resource requests, and recalculating the current average resource residual.