Automated Resource-Exchange System Pricing Calibration
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Solution Overview
Problem
Current distributed computing systems face challenges in effectively sharing and exchanging computational resources among multiple organizations, leading to inefficiencies in resource utilization and management, particularly due to difficulties in matching resource providers and consumers and optimizing resource pricing.
Innovation Solution
A resource-exchange system that employs distributed-search methods to locate matching resource-provider and resource-consumer computing facilities, monitors resource exchanges, and automatically determines and recalibrates resource pricing to optimize resource usage and steer hosting requests towards proportional consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated resource-exchange system is implemented to facilitate resource sharing among computing facilities, then resource utilization efficiency is improved, but system complexity increases
Solution Approach 1:
The patent introduces a resource-exchange system as an intermediary platform that mediates between resource providers and resource consumers. This system includes components such as a listing manager, offer manager, and pricing manager that automatically handle resource allocation, pricing calibration, and exchange transactions, thereby improving resource utilization without requiring direct complex interactions between individual computing facilities.
Solution Approach 2:
The system implements automated self-service mechanisms where the resource-exchange system autonomously performs pricing calibration, resource matching, and transaction management without human intervention. The automated pricing manager continuously adjusts prices based on demand and supply conditions, and the system automatically facilitates resource exchanges between participants, reducing the need for manual management while improving efficiency.
2Productivity
If automated pricing calibration is implemented to optimize resource allocation, then resource exchange efficiency is improved, but computational overhead increases
Solution Approach 1:
The pricing calibration is performed periodically rather than continuously, with the pricing manager adjusting prices at scheduled intervals based on accumulated demand and supply data. This periodic approach allows the system to achieve efficient resource allocation while avoiding the excessive computational overhead of continuous real-time pricing adjustments, balancing efficiency with computational resource consumption.
3Measurement precision
If distributed-search methods are used to locate matching resource providers and consumers, then resource matching accuracy is improved, but search time increases
Solution Approach 1:
The system performs preliminary actions by pre-registering and indexing resource listings from providers before actual exchange needs arise. The listing manager collects and stores resource information, capabilities, and parameters in advance, creating a prepared database that enables rapid and accurate matching when resource requests are made, thereby reducing search time while maintaining high matching accuracy.
Data Source
AI summary
The current document is directed a resource-exchange system that facilitates resource exchange and sharing among computing facilities. The currently disclosed methods and systems employ efficient, distributed-search methods and subsystems within distributed computer systems that include large numbers of geographically distributed data centers to locate resource-provider computing facilities that match the resource needs of resource-consumer computing-facilities based on attribute values associated with the needed resources, the resource providers, and the resource consumers. The resource-exchange system monitors and controls resource exchanges on behalf of participants in the resource-exchange system in order to optimize resource usage within participant data centers and computing facilities. The resource-exchange system automatically determines resource pricing on behalf of participant resource-provider computing facilities and subsequently recalibrates resource pricing on behalf of participant resource-provider computing facilities to steer hosting requests towards proportionate consumption of resources allocated by the resource-provider computing facilities to the resource-exchange system.