Distributed Database Segmentation for Data Verification Timeliness
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Solution Overview
Problem
Current data distribution databases rely on a single central database for data distribution and verification, leading to high requirements for concurrent processing capacity and network bandwidth, low data use efficiency, unstable network connections affecting timeliness, and low data verification reliability, which restricts data dissemination and security.
Innovation Solution
Implementing a system with a central database and local databases that allow data releasers to control retransmission and access authorities, and users to control sharing authorities, using verification codes for secure data distribution and verification, with local databases processing data verification to enhance timeliness and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single central database is used for data distribution and verification, then data security and centralized control are improved, but hardware resource requirements and network bandwidth requirements increase significantly
Solution Approach 1:
The patent divides the single central database into multiple distributed databases (central database and local databases). Each database node stores and verifies data independently, distributing the hardware burden while maintaining security through decentralized verification. The segmentation allows the system to scale horizontally without increasing individual node complexity.
2Reliability
If a single central database is used for data verification, then centralized control is improved, but verification timeliness deteriorates due to network connection instability
Solution Approach 1:
The verification function is segmented between central and local databases. Local databases perform initial verification independently, providing timely responses without waiting for central database communication. The central database maintains overall control and performs final verification when needed, thus reducing verification time while preserving centralized authority.
Solution Approach 2:
Local databases perform preliminary data verification before involving the central database. This preliminary action at the edge reduces the need for frequent central database communications, improving verification timeliness while the central database retains ultimate control for final authorization and oversight.
3Ease of operation
If data is released exclusively to related data users through a central database, then data releaser control is improved, but data use efficiency deteriorates
Solution Approach 1:
The patent implements a multi-functional data distribution system where databases serve multiple roles: central database for overall coordination, local databases for distributed storage and verification, and support for both exclusive and shared data access modes. This universality allows the same system to accommodate different data sharing policies, improving efficiency without sacrificing control.
Solution Approach 2:
The system dynamically adjusts data access permissions based on user relationships and data sensitivity. Data releasers can configure different access levels (exclusive or shared) for different data sets and user groups. This dynamic permission management enables efficient data utilization while maintaining appropriate control mechanisms.
4Measurement precision
If data verification is performed only by the data releaser at the central database, then verification accuracy is improved, but verification reliability deteriorates due to single point of failure
Solution Approach 1:
The verification function is segmented across multiple database nodes (central and local). Each node performs verification independently using the same accurate verification logic, providing both accuracy and redundancy. This segmentation eliminates single points of failure while maintaining verification precision through consistent verification algorithms distributed across nodes.
Data Source
AI summary
A distribution database includes at least one central database, in which data of use-value given by data a releaser and the values of use are stored, and several local databases, each of which is based at a data releaser's site, and which are bisynchronous with the central database. A method for data distribution and verification is provided. The data distribution database provides security and timeliness and requires lower levels of hardware resources. The method for data distribution and verification pertaining to this invention may enhance the data transmission range and use efficiency, and at the same time prevent the interest of the original data releaser against any harm as a result of data retransmission, and also assure shared interest and security for data users.