IoT Resource Exchange Auctions for Cross-Ecosystem Data Sharing
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Solution Overview
Problem
Ecosystems often face data resource depletion, leading to inactivity or unavailability of functionalities until resources are replenished, necessitating improved data resource sharing between ecosystems with surplus resources.
Innovation Solution
A resource exchange auction protocol (REAP) is implemented using an IoT controller to facilitate data resource sharing between ecosystems through true or reverse auctions, assessing and selecting ecosystems based on bidder network scoring and admission control logic to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If ecosystems have a limit or cap of data resources, then resource management becomes controllable, but insufficient data resources become unavailable to execute communications between devices
Solution Approach 1:
The patent merges multiple ecosystems into a unified resource pool, allowing data resources from one ecosystem to be shared with another. The system combines resource inventories from multiple ecosystems and enables cross-ecosystem resource allocation, transforming isolated limited resources into a shared abundant pool that maintains controllability while increasing availability.
Solution Approach 2:
The patent creates a universal resource sharing platform that enables data resources to serve multiple ecosystems simultaneously. The system allows a single data resource to be allocated to different ecosystems based on demand, making the resources multi-functional and maximizing their utility across different operational contexts while maintaining controlled access through the manager.
2Productivity
If data resources are shared between ecosystems, then resource utilization increases, but control over resource allocation becomes complex
Solution Approach 1:
The patent introduces a resource manager as an intermediary component that handles all resource allocation decisions between ecosystems. This centralised mediator simplifies control by providing a single point of decision-making, managing resource inventories, processing allocation requests, and enforcing policies, thereby reducing the complexity that would otherwise arise from direct peer-to-peer resource management between multiple ecosystems.
Solution Approach 2:
The system implements feedback mechanisms where the resource manager continuously monitors resource usage, allocation status, and ecosystem demands. This feedback loop enables dynamic adjustment of resource allocation, allowing the system to respond to changing conditions while maintaining controlled access. The feedback mechanism tracks resource flow and ensures that allocation decisions optimize utilization without compromising control.
Data Source
AI summary
A computer-implemented method when executed by data processing hardware causes the data processing hardware to perform operations. The operations include initiating, at a first ecosystem, a request, the first ecosystem being one of a donor and a requestor, discovering, by a second ecosystem, the initiated request, the second ecosystem being the other of the donor and requestor, and executing, at one of a first ecosystem and a second ecosystem, a resource exchange auction protocol (REAP). The REAP includes controlling access to resources, assessing the other of the first ecosystem and the second ecosystem, selecting the other of the first ecosystem and the second ecosystem, and sharing the resources of one of the first ecosystem and the second ecosystem with the other of the first ecosystem and the second ecosystem.