Virtual Instance Configuration via Dynamic Resource Pool Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The performance of virtual instances in serverless computing is not fully utilized in separate data centers, leading to high operating costs.
Innovation Solution
A cloud computing technology-based virtual instance configuration method that dynamically configures and adjusts computing, memory, storage, and network resources using a high-speed network-connected resource pool, including computing, memory, and storage pools, to create and manage virtual instances efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If virtual instances are deployed in separate data centers with high-performance resources, then computing performance is improved, but operating costs increase
Solution Approach 1:
The patent implements dynamic resource allocation where the cloud management platform continuously monitors virtual instance performance and adjusts resource allocation in real-time. Resources are dynamically assigned based on actual workload demands, allowing the system to optimize between performance and cost by allocating high-performance resources only when and where needed, rather than maintaining fixed high-performance configurations always.
Solution Approach 2:
The system changes resource allocation parameters dynamically based on virtual instance performance metrics. The cloud management platform adjusts computing, storage, and network resource parameters according to actual usage patterns, enabling the system to transition between different performance levels and cost structures to resolve the contradiction between maintaining high performance and reducing operating costs.
2Reliability
If high-performance resources are fixedly configured for virtual instances, then service quality is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent replaces fixed resource configurations with dynamic allocation mechanisms. The cloud management platform continuously adjusts resource assignments based on virtual instance performance and workload changes, ensuring that high-performance resources are allocated only when service quality requirements demand it, thereby improving both service quality and resource utilization efficiency simultaneously.
Solution Approach 2:
The system implements feedback loops where virtual instance performance is monitored and used to adjust resource allocation decisions. This feedback mechanism allows the system to learn from actual usage patterns and optimize resource distribution, ensuring that service quality is maintained while resource utilization efficiency is improved by avoiding over-provisioning of high-performance resources.
3Device complexity
If virtual instances use conventional resource allocation, then implementation simplicity is maintained, but operating costs increase
Solution Approach 1:
The patent implements self-service mechanisms where the cloud management Platform automatically monitors virtualinstance performance and adjusts resource allocation without requiring manual intervention. This automation maintains implementation simplicity by handling complex optimization decisions automatically, while reducing operating costs through intelligent resource allocation that prevents waste of high-performance resources on workloads that do not require them.
Data Source
AI summary
A cloud computing technology-based virtual instance configuration method including: obtaining a virtual instance creation request input by a tenant; and creating a virtual instance in a first server of a computing pool based on the virtual instance creation request. The virtual instance creation request carries specification configuration information of the virtual instance, and the specification configuration information indicates a computing resource, a memory resource, a storage resource, and a network resource that are required by the virtual instance.


