Multi-Region Data Center Connectivity via Trusted Relationships
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for multi-region data center connectivity face challenges in seamless information sharing and collaboration across geographical boundaries while ensuring user privacy, data sovereignty, and system anonymity, particularly due to regulatory and legal requirements.
Innovation Solution
Establishing a trusted relationship between data centers in different regions, allowing for user pinning and secure data sharing through hash-based unique identifiers, maintaining data integrity and privacy by linking users and content without physically moving data across regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data centers are isolated and users are restricted to access only their regional data center, then user privacy and data sovereignty are protected, but information sharing and collaboration across regions are hindered
Solution Approach 1:
The patent introduces a trusted relationship mechanism as an intermediary between data centers in different regions. This trusted relationship enables cross-region data access while maintaining data sovereignty, as data remains physically located in its regional data center but can be securely accessed by authorized users in other regions through the established trust framework.
Solution Approach 2:
The system segments data access rights by establishing region-specific data centers that maintain physical data localization while enabling logical cross-region access. Each data center operates independently with its own security boundaries, yet trusted relationships allow controlled data sharing across these segments without compromising data sovereignty.
2Adaptability or versatility
If data centers operate distinctly and independently with separate databases, then regional autonomy and security are maintained, but seamless data sharing between regions is prevented
Solution Approach 1:
The trusted relationship mechanism acts as an intermediary that transparently handles cross-region data access. Users experience seamless data sharing as if accessing local data, while the underlying trusted relationship framework manages the complexity of cross-region access, maintaining both regional autonomy and operational simplicity.
Solution Approach 2:
The system creates a universal access mechanism that works across all regional data centers. The trusted relationship framework provides a multi-functional solution that simultaneously maintains regional autonomy, enables cross-region access, and presents a unified user experience across different regions.
3Productivity
If users can access data from multiple regions, then information sharing is improved, but user privacy and system anonymity may be compromised
Solution Approach 1:
The trusted relationship mechanism serves as an intermediary that enables collaboration while protecting privacy. It allows users to access data from multiple regions for collaboration purposes while maintaining system anonymity and user privacy through controlled access mechanisms that prevent unauthorized exposure.
Solution Approach 2:
The system applies different access qualities to different regions based on trusted relationships. Data remains physically localized in its regional data center with appropriate security measures, while authorized cross-region access is granted through the trusted relationship framework, ensuring privacy protection while enabling collaboration.
Data Source
AI summary
Disclosed is a multi-region data center connectivity solution for seamless integration between multi-region data center users and content. The solution supports user pinning (e.g., users and their personal content can be pinned to a particular geographical location/data center); protects personal content (e.g., personal content uploaded by a user is stored in that user's pinned geographical location/data center); and enables data sharing between multi-region data center users in a manner that is seamless and transparent to end users, while respecting user privacy, complying with data sovereignty requirements, and maintaining system anonymity.