Proprietary Cloud Reconstruction Using Cluster Gene Verification

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Solution Overview

Problem

Existing proprietary cloud systems lack a systematic method for automatic reconstruction and verification in complex and large container cluster environments, leading to errors and inefficiencies in deployment due to manual implementation and lack of consideration for component associations and dependencies.

Innovation Solution

A method and apparatus for reconstructing and verifying a proprietary cloud platform using cluster gene information, involving infrastructure platform assessment, refactoring of system, dependency, and product line components, and verification of correctness and effectiveness.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual implementation is used for proprietary cloud deployment, then flexibility in customization is improved, but deployment accuracy and consistency are worsened

Engineering Contradiction:

Improvecustomization flexibilityVSAvoiddeployment accuracy

Core Design Contradiction:

Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The patent uses cluster gene information to create a standardized template that can be copied and applied across different proprietary cloud deployments. This template contains proven configuration patterns that ensure deployment accuracy while maintaining the ability to customize specific parameters, thus resolving the contradiction between manual customization flexibility and deployment precision.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The system allows dynamic adjustment of deployment parameters based on specific cluster conditions while following standardized procedures. By separating configurable parameters from fixed procedural steps, the system maintains both customization flexibility and deployment consistency, addressing the contradiction between manual adaptation and manufacturing precision.

Inventive Principle:

Principle #35Parameter changes

2Stability of the object's composition

If systematic refactoring method is implemented, then deployment consistency is improved, but deployment complexity is worsened

Engineering Contradiction:

Improvedeployment consistencyVSAvoiddeployment process complexity

Core Design Contradiction:

Stability of the object's compositionVSDevice complexity

Solution Approach 1:

The patent divides the deployment process into distinct phases: infrastructure assessment, cluster gene information collection, standardized refactoring, and verification. Each phase has specific tasks and deliverables, making the complex systematic process more manageable while ensuring consistency through structured progression through each segment.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary assessment and collection of cluster gene information before executing the main refactoring operations. This preliminary action identifies required changes in advance, allowing the systematic refactoring method to be applied more efficiently and reducing the perceived complexity by preparing the groundwork beforehand.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If component associations and dependencies are considered, then deployment reliability is improved, but verification time is worsened

Engineering Contradiction:

Improvedeployment reliabilityVSAvoidverification time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent implements automated verification mechanisms that provide feedback on component associations and dependencies throughout the deployment process. This feedback system identifies issues early and validates configurations, improving reliability while reducing overall verification time by catching problems during deployment rather than requiring extensive post-deployment testing.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary verification of component associations and dependencies before final deployment. By validating these critical relationships in advance, the system ensures deployment reliability while reducing the time required for post-deployment verification, effectively balancing reliability improvement with time efficiency.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12585508B2Reconstructing and verifying proprietary cloud based on state transition

Publication Date: 2026.03.24 BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD

AI summary

A method of reconstructing and verifying a proprietary cloud based on state transition is provided, including: obtaining information of an underlying infrastructure platform of a proprietary cloud server cluster to be constructed; if the underlying infrastructure platform meets the deployment requirement, obtaining cluster gene information of a standard proprietary cloud platform, and performing refactoring of an underlying system component, refactoring of an underlying dependency component and refactoring of a product line of a proprietary cloud platform according to the cluster gene information and a state of the proprietary cloud server cluster to be constructed; obtaining user demand information, configuring the cluster gene information according to the user demand information, and selecting a product line component of the standard proprietary cloud platform for deployment, so as to obtain a reconstructed proprietary cloud platform; and verifying a correctness and an effectiveness of a component of the reconstructed proprietary cloud platform.