Cloud Resource Matching via Valuation Engine
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Solution Overview
Problem
Cloud computing environments face challenges in efficiently utilizing and valuing third-party computing resources, leading to suboptimal resource allocation and reliability, as existing systems lack mechanisms to incentivize and effectively manage contributions from external sources.
Innovation Solution
A marketplace system is introduced, featuring a marketplace engine that matches desired computing resources with those offered by third-party systems, utilizing a valuation engine to determine resource value based on usage, demand, and revenue, thereby incentivizing contributions and enhancing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If third-party computing resources are utilized in cloud environments, then resource availability and scalability are improved, but resource allocation efficiency and reliability deteriorate due to lack of incentive mechanisms and management systems
Solution Approach 1:
The patent implements feedback mechanisms through service level agreements that provide performance monitoring, compensation triggers, and continuous optimization loops. The system tracks resource performance metrics and automatically adjusts compensation or triggers remediation actions when SLA thresholds are not met, creating a closed-loop feedback system that improves resource allocation efficiency over time.
Solution Approach 2:
The patent introduces an intermediary management system that acts as a broker between cloud service providers and third-party resource contributors. This intermediary handles resource matching, compensation calculation, performance monitoring, and dispute resolution, thereby improving allocation efficiency without requiring direct complex interactions between all parties.
2Adaptability or versatility
If third-party computing resources are utilized in cloud environments, then resource availability and scalability are improved, but system reliability deteriorates due to lack of incentive mechanisms and management systems
Solution Approach 1:
The patent implements beforehand cushioning through service level agreements that pre-establish compensation mechanisms and performance thresholds. By setting up compensation triggers and remediation protocols in advance, the system cushions against potential reliability issues before they occur, ensuring that third-party resources meet required reliability standards.
Solution Approach 2:
The patent implements feedback mechanisms through service level agreements that provide performance monitoring, compensation triggers, and continuous optimization loops. The system tracks resource performance metrics and automatically adjusts compensation or triggers remediation actions when SLA thresholds are not met, creating a closed-loop feedback system that improves resource allocation efficiency over time.
3Productivity
If a marketplace system with valuation engine is implemented, then resource utilization and incentive mechanisms are improved, but system complexity increases
Solution Approach 1:
The patent implements universality by designing a marketplace system with a valuation engine that performs multiple functions: resource valuation, compensation calculation, performance monitoring, and incentive distribution. This multi-functional approach consolidates complexity into a single unified system rather than requiring separate mechanisms for each function, making the complexity more manageable.
Solution Approach 2:
The patent implements self-service mechanisms where the valuation engine automatically values resources, calculates compensations, and manages incentives without requiring manual intervention. The system uses automated algorithms to assess resource contributions, determine fair compensation, and distribute incentives, thereby reducing operational complexity despite the sophisticated valuation logic.
Data Source
AI summary
A request to instantiate one or more virtual machines in a cloud may be received. The request may specify a service level agreement (SLA). A specification for resources to instantiate the virtual machine in view of a type of the virtual machine and the SLA may be determined. A value and specifications offered for the resources to instantiate the type of the virtual machines may be received. A value for at least one specification in view of an amount of time for providing the resources and a comparison with other values for resources of other clouds may be determined. The specification for the resources to instantiate the type of the virtual machines and the value offered for the resources to instantiate the type of the virtual machines may be matched with at least one specification for resources offered and the value determined for the at least one specification.