Resource Exchange System for Distributed Data Center Optimization
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Solution Overview
Problem
Current distributed computer systems face challenges in effectively sharing and exchanging computational resources among multiple organizations, leading to inefficiencies in resource utilization and operational costs, particularly due to spare capacity within private data centers and the inability to seamlessly migrate virtual machines between resource consumers and providers.
Innovation Solution
A resource-exchange system that employs a distributed-search method to match resource providers with consumers across geographically distributed data centers, facilitating the leasing of computational resources through an automated marketplace, thereby optimizing resource usage and increasing operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resources are shared and exchanged among distributed computing facilities, then operational efficiency is improved, but device complexity increases
Solution Approach 1:
The patent introduces a resource-exchange system that acts as an intermediary between resource providers and consumers. This system includes a marketplace platform that facilitates automated resource sharing and exchange, reducing the complexity burden on individual computing facilities while enabling efficient resource utilization across the distributed system.
Solution Approach 2:
The resource-exchange system provides universal functionality by supporting multiple types of computational resources (processing power, storage, bandwidth) and serving multiple organizations simultaneously. This multi-functional platform resolves the contradiction by creating a standardized interface that simplifies resource sharing across diverse computing facilities.
2Productivity
If virtual machines are migrated between resource consumers and providers, then resource utilization is optimized, but reliability decreases
Solution Approach 1:
The patent implements pre-migration validation and checkpointing mechanisms that cushion against potential migration failures. By preparing backup states and validating target environments before migration occurs, the system maintains reliability while enabling resource optimization through virtual machine movement.
Solution Approach 2:
The resource-exchange system incorporates continuous monitoring and feedback mechanisms that track virtual machine performance and system state during migration. This feedback loop enables dynamic adjustment of migration parameters and automatic rollback if reliability thresholds are compromised, resolving the contradiction between optimization and stability.
3Productivity
If automated resource exchange is implemented across multiple organizations, then productivity increases, but ease of operation deteriorates
Solution Approach 1:
The patent implements automated resource exchange mechanisms where the system independently negotiates, matches, and executes resource transactions between organizations. This self-service capability eliminates the need for complex manual coordination, thereby improving productivity while maintaining ease of operation through automation.
Solution Approach 2:
The resource-exchange system dynamically adjusts operational parameters such as resource pricing, allocation thresholds, and matching criteria based on system conditions and organizational preferences. These parameter changes enable flexible automation that increases productivity while adapting to operational requirements, maintaining ease of use.
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. By optimizing resource usage, the resource-exchange system drives participant data centers and computing facilities towards maximum operational efficiency.