Cell-Based Database Management System for Secure Data Access
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Solution Overview
Problem
Managing and securing diverse information from different locales and users in a centralized database is challenging due to variations in data features and the need for efficient access, modification, and security, particularly in a time and resource-consuming manner.
Innovation Solution
A cell-based database management system comprising a cell domain with row and column identifiers, a transfer module, and a sequence identifier generation module, which includes a method for transferring cells from a cell buffer to the domain, transforming cells to define missing identifiers, and generating new sequence identifiers, while maintaining data security through access privileges and versioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centralized database is used to manage information from different locales and users, then data security and access control are improved, but processing time and resource consumption increase due to data diversity and versioning requirements
Solution Approach 1:
The database is segmented into a cell domain with row identifiers, column identifiers, and transaction identifiers. Each cell represents a discrete data unit that can be independently managed, transferred, and versioned. This segmentation allows efficient processing of individual cells while maintaining overall data security through centralized control of the cell domain structure.
2Reliability
If a centralized database is used to manage information from different locales and users, then data security and access control are improved, but processing time and resource consumption increase due to data diversity and versioning requirements
Solution Approach 1:
The cell domain structure assigns specific local qualities to different data elements through row identifiers, column identifiers, and transaction identifiers. Each cell can have its own access privileges and versioning characteristics defined by the transaction identifier (user identifier and time identifier), allowing efficient resource allocation and processing tailored to each data element's specific requirements rather than uniform processing of all data.
3Reliability
If cells are transferred from cell buffer to cell domain with transformation to define missing identifiers, then data integrity and security are improved, but processing complexity increases
Solution Approach 1:
The transfer module performs preliminary actions by defining missing identifiers (row identifier, column identifier, transaction identifier) during the cell transfer process from cell buffer to cell domain. This preliminary definition of identifiers ensures data integrity is established early in the processing pipeline, preventing the need for more complex post-processing operations to correct or establish these critical identifying characteristics.
Data Source
AI summary
Provided are systems and methods for managing a database. In an example system, information stored in cells includes a row identifier, a column identifier, a value identifier, and a transaction identifier. The system includes a cell domain and one or more cell buffers. Both the cell domain and cell buffer include a plurality of cells, a row sequence ordering the row identifiers of cells, and a column sequence ordering the column identifiers. Additionally, the cell domain includes row and column identifier generators and transaction and value sequences. The system further includes a transfer module operable to transfer cells from a cell buffer to the cell domain, and a reader module operable to output cells, upon receiving a request buffer, from the cell domain to a response buffer. A set of constraints is applied when outputting cells to the response buffer based on the information stored in the request buffer.