Cloud Resource Topology Template for Automated Multi-Resource Cloning
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Solution Overview
Problem
Existing cloud resource cloning and migration technologies are inefficient as they require manual configuration of single resources, leading to errors and low configuration efficiency, as they can only clone a single virtual machine at a time.
Innovation Solution
A cloud resource processing method that determines dependent cloud resources and generates a resource topology template to automatically clone or migrate multiple cloud resources, ensuring attribute consistency and replicating dependency relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual configuration is used for cloning single virtual machine resources, then configuration flexibility is maintained, but configuration efficiency is low and error rate increases
Solution Approach 1:
The patent creates a snapshot or image of the source virtual machine and uses it as a template to automatically clone the virtual machine and its dependent resources. This copying mechanism eliminates manual configuration errors while maintaining consistency across cloned resources, directly resolving the contradiction between configuration efficiency and error rate.
Solution Approach 2:
The patent merges the cloning operations of multiple dependent resources (virtual machine, configuration, networking) into a single automated process. By combining these operations and using a resource topology template to coordinate them, the system achieves high configuration efficiency while maintaining reliability through automated dependency management.
2Productivity
If single virtual machine cloning is performed, then resource isolation is maintained, but clone and migration efficiency is low
Solution Approach 1:
The patent performs preliminary actions by first obtaining dependent cloud resources and generating a resource topology template that defines all relationships before the actual cloning begins. This preparation work enables the subsequent parallel cloning of multiple resources to proceed efficiently without conflicts, resolving the contradiction between clone efficiency and process complexity.
Solution Approach 2:
The patent implements dynamic resource allocation and coordination during the cloning process by using the resource topology template to manage dependencies. The system dynamically adjusts the cloning sequence and resource allocation based on the template, enabling efficient multi-resource cloning while managing complexity through adaptive control.
3Loss of time
If manual configuration of dependent resources is required, then resource dependency control is precise, but time consumption increases
Solution Approach 1:
The patent enables the system to automatically identify, obtain, and configure dependent cloud resources without manual intervention. The resource topology template allows the system to self-service the entire dependency chain, from identifying required resources to configuring their relationships, dramatically reducing time consumption while maintaining precise dependency control.
Solution Approach 2:
The patent uses feedback mechanisms to automatically detect and resolve dependency relationships between resources. The system continuously monitors resource states and adjusts configurations based on feedback from the resource topology template, eliminating manual configuration steps while ensuring precise dependency management.
Data Source
AI summary
The present disclosure relate to a cloud resource processing method includes: determining a cloud resource; obtaining a dependent cloud resource of the cloud resource and a resource information group of the cloud resource, where the resource information group includes resource information of the dependent cloud resource; generating a resource topology template; and cloning or migrating the cloud resource based on the resource topology template. According to the cloud resource processing method and the physical node in the embodiments of the present disclosure, clone or migration processing of a plurality of cloud resources can be automatically completed, so as to improve replication efficiency.