Centralized Resource Allocation With Anonymous Fair Splitting
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Solution Overview
Problem
Individuals and organizations often possess resources they do not need or require more than they have, leading to inefficiencies in resource utilization and a lack of efficient methods for trading or transferring these resources.
Innovation Solution
A centralized method and system for allocating resources, including receiving data from providing and requesting entities, assessing resource requests against predefined criteria, and dividing the requests fairly among multiple entities while maintaining anonymity, with the ability to adjust contributions and returns based on entity attributes and previous contributions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resources are shared through direct peer-to-peer trading, then resource utilization efficiency improves, but system complexity and trust requirements increase
Solution Approach 1:
The patent introduces a centralized resource allocation system that acts as an intermediary between resource providers and consumers. This intermediary manages the matching process, evaluates requests against predefined criteria, and coordinates transfers, thereby reducing the complexity that would otherwise exist in direct peer-to-peer trading while maintaining efficient resource utilization.
2Reliability
If resource allocation is made transparent and visible to all entities, then trust and accountability improve, but anonymity and privacy are compromised
Solution Approach 1:
The patent segments information about resource transfers into two distinct sets: identification data that maintains anonymity and privacy, and allocation data that ensures trust and accountability. By separating these functions, the system allows entities to remain anonymous while still maintaining reliable tracking of resource allocation through the centralized system.
3Ease of operation
If a centralized system manages resource allocation, then fairness and anonymity are improved, but system complexity and operational overhead increase
Solution Approach 1:
The patent implements self-service mechanisms where the centralized system automatically evaluates resource requests against predefined criteria and autonomously determines allocations. This automation reduces the need for manual intervention and complex operational processes, achieving fairness and anonymity through algorithmic decision-making rather than complex human coordination.
Data Source
AI summary
Systems and methods for centralized transfer or allocation of resources may include receiving a first set of data describing a plurality of providing entities and an associated number of units of a resource which are available for allocation; receiving a second set of data describing a resource request associated with a requesting entity; assessing the resource request according to a set of predefined allocation criteria; determining at least two providing entities for which the resource request satisfies the set of predefined allocation criteria; and dividing the resource request across the determined set of providing entities in accordance with a fairness criterion.