Decentralized Data Storage Policy Adaptation
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Solution Overview
Problem
Centralized activity tracking and operational policy adaptation in data storage systems lead to inefficient system performance and security, as they become resource-intensive and volatile with increased complexity from multiple users and diverse data configurations, degrading data access performance.
Innovation Solution
A decentralized data storage system using a distribution module that tracks data access operations, generates visual representations, and assigns permissions to selected users to alter operational policies, optimizing system performance and security by distributing activity analysis and policy changes across multiple users and hosts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If centralized activity tracking and policy adaptation is implemented, then system control and coordination are improved, but system performance and reliability deteriorate due to resource intensity and volatility
Solution Approach 1:
The patent segments the centralized activity tracking and policy adaptation functions into distributed components across multiple hosts. Each host independently tracks its own data access operations and participates in policy decisions, eliminating the single point of failure and resource bottleneck inherent in centralized systems. This segmentation directly resolves the contradiction by maintaining control capabilities while improving reliability through distribution.
Solution Approach 2:
The patent introduces visual representations as intermediary artifacts that facilitate decentralized policy adaptation. These visual representations translate complex system activities into analyzable formats that can be distributed to multiple users for analysis, enabling coordinated policy changes without requiring a centralized control point. This intermediary mechanism preserves system control while enhancing reliability by distributing the analytical workload.
2Loss of information
If centralized activity tracking is implemented, then system-wide visibility is improved, but resource consumption and operational efficiency worsen
Solution Approach 1:
The patent applies local quality by enabling each host to track and analyze its own local data access operations rather than requiring all operations to be centralized. Each host maintains visibility into relevant system activities locally, reducing the resource overhead of centralized tracking while preserving sufficient system-wide visibility through distributed contributions. This approach maintains information completeness while improving operational efficiency.
Solution Approach 2:
The patent implements partial action by having hosts track and analyze only the subset of system activities relevant to their local operations and policies. Rather than requiring complete system-wide tracking at every node, each host performs partial tracking sufficient for its policy adaptation needs, reducing overall resource consumption while maintaining adequate system visibility for coordinated decision-making.
3Adaptability or versatility
If multiple users are involved in policy analysis, then decision quality and system adaptability are improved, but system complexity and coordination difficulty worsen
Solution Approach 1:
The patent uses visual representations that transform complex policy analysis data into visually distinct and easily interpretable formats. These visualizations enable multiple users to quickly understand system states and policy implications without being overwhelmed by complexity, facilitating coordinated adaptability while managing the perceived complexity through intuitive visual interfaces.
Solution Approach 2:
The patent creates universal visual representation formats that can be used across multiple hosts and by multiple users for consistent policy analysis. This standardized visual language enables diverse users to contribute to policy adaptation without requiring specialized knowledge of each host's internal complexity, thereby improving system adaptability while managing coordination difficulty through a common interface paradigm.
Data Source
AI summary
A data storage system may track data access operations to a memory with a distribution module and translate the tracked data access operations into at least one activity with the distribution module. The distribution module generates a decentralization strategy and then creates a first visual representation of the at least one activity and a second visual representation of the at least one activity with the distribution module. The respective visual representations are distributed to a first user and a second user with the first user and second user respectively selected by the decentralization strategy for analysis for a purpose assigned by the decentralization strategy. The distribution module grants the first user a first temporary permission to alter at least one operational policy of the memory in response to a result of the first purpose.