Distributed Personal Data Management via Platform Clustering
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Solution Overview
Problem
There is a need to protect personal data from malicious access and ensure its availability and accessibility to users while managing personal and enterprise data across multiple platforms and data stores.
Innovation Solution
A system and method for personal data management that involves hosting personal data on multiple platforms and data stores, clustering these platforms and data stores for backup and recovery, and allowing sharing of personal data with other users if determined to be shared.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If personal data is hosted on multiple platforms and data stores, then data reliability and availability are improved, but system complexity increases
Solution Approach 1:
The system segments data storage across multiple independent platforms and data stores (e.g., cloud providers, local devices, edge devices). Each platform hosts a portion of the data, allowing the system to maintain availability even if one segment fails. This segmentation directly addresses the reliability improvement while managing complexity through modular architecture.
Solution Approach 2:
The system merges multiple data storage locations into a unified cluster that functions as a single coherent system. By combining cloud storage, local devices, and edge devices into one integrated data management ecosystem, the system achieves both distributed reliability and unified access without treating each platform as a completely separate system.
2Object-affected harmful factors
If personal data is protected from malicious access, then data security is improved, but data accessibility to authorized users may be reduced
Solution Approach 1:
The system introduces an intermediary authentication and authorization layer that mediates between data protection requirements and user access needs. This intermediary component verifies user credentials and permissions before allowing access to any data segment, enabling secure protection while maintaining ease of operation for authorized users through automated authentication mechanisms.
3Reliability
If data is clustered across multiple platforms, then backup and recovery capabilities are improved, but dependency on third-party hosts increases
Solution Approach 1:
The system segments data across multiple platforms including both third-party cloud services and self-hosted local/edge devices. This segmentation reduces dependency on any single third-party host by distributing data across multiple independent locations, with the user's own devices serving as backup destinations that are not subject to external provider failures or data breaches.
Solution Approach 2:
The system enables users to host and backup their own data on personal devices and edge equipment, reducing reliance on third-party cloud providers. Users have direct control over data storage locations and can configure backup destinations according to their specific needs, making the system more adaptable and less dependent on external services.
Data Source
AI summary
Described herein are a system, method, and computer-readable medium for personal data management. A user device hosts or accesses multiple platforms and data stores that gather and host personal data of a user from various sources. The user device clusters the multiple platforms and data store. Each of the multiple platforms and data stores are accessible to one another. Personal data is shared with other user devices if determined. Access is provided for personal data to be shared if determined to be shared with other user devices.