Multi-Cloud Metadata Merging Platform for Instance Consolidation
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Solution Overview
Problem
Merging cloud instances into a single multi-cloud instance is challenging due to conflicts in metadata attributes stored in different formats, leading to configuration errors and inefficient use of computing resources.
Innovation Solution
A metadata merging platform analyzes and identifies conflicting and non-conflicting attributes across different cloud instances, merges non-conflicting attributes, and determines a dominant state for conflicting attributes to generate a target configuration for a unified multi-cloud instance, reducing resource usage by eliminating the need for separate cloud instances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple cloud instances are maintained separately to avoid configuration errors, then system reliability is improved, but device complexity and resource usage increase
Solution Approach 1:
The patent merges multiple cloud instances into a unified multi-cloud instance by consolidating their metadata. The system combines configuration data from multiple sources while maintaining system reliability through automated conflict detection and resolution mechanisms, thereby reducing the number of separate instances needed while preventing configuration errors.
Solution Approach 2:
The patent introduces a metadata merging platform as an intermediary that mediates between multiple cloud instances. This platform automatically detects conflicts in metadata attributes, determines dominant states, and resolves conflicts according to predefined rules, enabling reliable merging without manual intervention.
2Reliability
If multiple cloud instances are maintained separately, then configuration errors are avoided, but computing resource efficiency deteriorates
Solution Approach 1:
The patent consolidates multiple cloud instances into a single multi-cloud instance, merging their metadata and configurations. This reduces the number of separate instances requiring computational resources while maintaining reliability through automated conflict resolution, thereby improving computing resource efficiency.
Solution Approach 2:
The patent changes the state of metadata attributes by determining dominant states for conflicting attributes and applying transformation rules. This allows the system to resolve conflicts and merge instances efficiently, improving resource utilization while preventing configuration errors.
3Productivity
If metadata from different cloud instances is merged, then resource usage is reduced, but configuration conflicts increase
Solution Approach 1:
The patent introduces a metadata merging platform as an intermediary that automatically manages metadata conflicts. The platform detects conflicting attributes, determines dominant states, and resolves conflicts according to predefined rules, eliminating the need for manual conflict management while enabling efficient resource utilization through instance merging.
Solution Approach 2:
The patent implements self-service mechanisms where the metadata merging platform automatically resolves conflicts without external intervention. The system autonomously determines dominant states, applies transformation rules, and generates merged configurations, reducing the complexity of manual metadata conflict management.
4Manufacturing precision
If manual merging of cloud instances is performed, then configuration precision can be controlled, but time consumption increases
Solution Approach 1:
The patent implements automated self-service mechanisms where the metadata merging platform autonomously detects conflicts, determines dominant states, and resolves conflicts according to predefined rules. This eliminates manual merging operations while maintaining configuration accuracy through systematic conflict resolution, significantly reducing the time required for instance merging.
Solution Approach 2:
The patent introduces an automated metadata merging platform that mediates the merging process, replacing manual operations. The platform systematically processes metadata, detects conflicts, and applies resolution rules, maintaining configuration precision while dramatically reducing the time consumption associated with manual merging.
Data Source
AI summary
In some implementations, a device may receive a request to merge a first cloud computing instance with a second cloud computing instance to generate a multi-cloud computing instance. The device may access a first application programming interface to obtain a first configuration of the first cloud computing instance. The device may access a second application programming interface to obtain a second configuration of the second cloud computing instance. The device may generate a target configuration based on the first configuration or the second configuration. The device may instantiate a set of resources with the target configuration for the multi-cloud computing instance. The device may provide output identifying the multi-cloud computing instance.