Hybrid Cloud Identifier Mapping for Cross-Environment Deployment
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Solution Overview
Problem
Current cloud computing systems face challenges in seamlessly managing and integrating virtual resources across hybrid cloud environments, where private data centers and public cloud systems are managed by different organizations, leading to issues with identifier uniqueness and compatibility when deploying virtual objects across these environments.
Innovation Solution
The implementation of a hybrid cloud management system that generates and maintains mappings of unique identifiers for virtual objects across both private and public cloud systems, ensuring contextual consistency and compatibility, and includes a hybrid cloud manager and director to facilitate seamless deployment and management of virtual workloads between the two environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If virtual objects are deployed across hybrid cloud environments with separate identifier systems, then deployment flexibility and cloud service access are improved, but identifier uniqueness and compatibility deteriorate
Solution Approach 1:
The patent introduces a hybrid cloud director as an intermediary component that manages identifier mappings between the private data center and public cloud computing system. The director maintains a mapping table that correlates virtual object identifiers from both environments, enabling seamless cross-cloud operations while preserving identifier uniqueness within each system. This mediator resolves the conflict by translating identifiers contextually without requiring changes to the underlying identifier systems.
Solution Approach 2:
The patent adds a contextual dimension to identifier management by introducing environment-specific contexts (private data center context and public cloud context). Each identifier is interpreted within its designated context, allowing the same identifier value to exist in both environments without conflict. This dimensional approach transforms the flat identifier space into a multi-context identifier system that resolves uniqueness conflicts.
2Adaptability or versatility
If separate cloud systems are managed independently by different organizations, then organizational autonomy and system independence are improved, but system integration and interoperability deteriorate
Solution Approach 1:
The patent segments the hybrid cloud management functionality into distinct components: a private cloud manager for the data center, a public cloud service provider system, and a hybrid cloud director that bridges them. Each segment maintains its independence and management autonomy, while the director provides coordinated integration. This segmentation allows organizations to retain control over their respective systems while achieving seamless integration through the director's mapping and translation capabilities.
3Manufacturing precision
If contextual information is added to identifiers for cross-cloud mapping, then identifier compatibility and mapping accuracy are improved, but data structure complexity and processing overhead increase
Solution Approach 1:
The patent applies local quality by adding contextual information selectively based on the specific mapping requirements. The context associated with each identifier contains only the necessary information for that particular mapping relationship, rather than universally adding all possible contextual data. This approach maintains mapping accuracy while minimizing unnecessary data structure complexity and processing overhead.
Data Source
AI summary
A hybrid cloud computing system having a private data center and a public cloud computing system is discussed. The private data center is managed by a first organization. The public cloud computing system is managed by a second organization, and the first organization is a tenant in the public cloud computing system. The hybrid cloud computing system is configured to generate a mapping that contextualizes virtual objects migrated between the private data center and the public cloud computing system based on the objects' location. Such a mapping is maintained to expose the true hybridity of the hybrid cloud rather than present two distinct views of a private data center (or private cloud) and a public cloud.