Cloud Resource Type Conversion Between Stable and Spot Pricing
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Solution Overview
Problem
Cloud resource utilization is low due to idle periodicity, leading to high costs and potential data loss from reclaimed resources in spot pricing models, necessitating improved flexibility and cost-effectiveness in cloud resource type switching.
Innovation Solution
A cloud management platform enables dynamic conversion between stable and unstable cloud resource types, allowing tenants to switch between pay-per-use, yearly/monthly, and spot pricing models based on service requirements, with constraints on conversion frequency and ratio to manage resource allocation efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If yearly/monthly mode or pay-per-use mode is used, then service stability is ensured, but resource utilization is low and costs are high
Solution Approach 1:
The patent implements dynamic conversion between stable and unstable resource types, allowing resources to transition between different billing modes (yearly/monthly, pay-per-use, spot pricing) based on utilization patterns. This dynamic adjustment enables the system to maintain service stability when needed while improving resource utilization by converting underutilized stable resources to unstable spot resources that can be reclaimed and reallocated.
2Productivity
If spot pricing is used, then resource utilization is improved and costs are reduced, but service data may be lost due to resource reclamation
Solution Approach 1:
The system dynamically converts between stable and unstable resource types based on monitoring and evaluation. Resources that need data stability remain in stable type, while underutilized resources are converted to unstable type for spot pricing. This dynamic approach allows the system to capture cost savings from spot pricing while maintaining data stability for resources that require it.
Solution Approach 2:
The patent implements a feedback mechanism that monitors resource utilization patterns and triggers conversion decisions. When resources are underutilized, the system converts them to unstable type to improve utilization and reduce costs. When utilization increases or stability is needed, the system converts back to stable type, ensuring data protection. This feedback loop resolves the contradiction by making conversion decisions based on actual resource usage and stability requirements.
3Adaptability or versatility
If cloud resource type conversion function is provided, then flexibility of using cloud resource is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal conversion mechanism that handles multiple resource types and billing modes through a unified interface. The conversion function works across different resource types (compute, storage, network) and billing modes (yearly/monthly, pay-per-use, spot pricing) using the same stable-unstable type framework. This multi-functional approach improves flexibility while minimizing the increase in system complexity by providing a standardized conversion process.
Data Source
AI summary
A public cloud-based cloud resource conversion method includes receiving, from a cloud resource configuration interface, cloud resource configuration information input by a tenant; creating, in an infrastructure based on the cloud resource configuration information, a cloud resource that belongs to the tenant as a stable cloud resource; receiving a first cloud resource type conversion policy input by the tenant; and converting, a type attribute of the cloud resource from a stable cloud resource type to an unstable cloud resource type.