Off-line Log System ID Conflict Resolution
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Solution Overview
Problem
Mobile databases face challenges in off-line editing and creation of logs due to synchronization issues that can lead to corruption of the central database, such as incorrectly associating logs with IDs, resulting in duplicate or mismatched records.
Innovation Solution
The system introduces methods for off-line devices to modify logs by assigning unique IDs and detecting changes in parent and dependent logs, ensuring accurate synchronization and preventing corruption by correctly associating records across multiple off-line devices and a central database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If off-line devices modify logs locally, then ease of operation is improved, but reliability deteriorates due to synchronization conflicts and database corruption
Solution Approach 1:
The system performs preliminary actions by generating unique device-specific IDs and storing them locally before off-line modifications occur. This preliminary setup enables the system to later detect and resolve synchronization conflicts by comparing these pre-stored identifiers with incoming data during the synchronization process, preventing database corruption while maintaining off-line editing capability.
Solution Approach 2:
The system implements feedback mechanisms by detecting changes in parent and dependent logs during synchronization, automatically notifying users of conflicts, and providing options to resolve them. This feedback loop ensures that modifications made on off-line devices are properly integrated into the central database without causing corruption, while keeping users informed of any issues.
2Productivity
If multiple off-line devices create logs independently, then productivity is improved, but manufacturing precision deteriorates due to incorrect ID association
Solution Approach 1:
The system segments the ID association process by assigning unique device-specific identifiers to each off-line device and using these segments to track and match logs created on different devices. This segmentation approach allows multiple devices to work independently while ensuring that logs are correctly associated with the appropriate respondents during synchronization, preventing duplicate or mismatched records.
Solution Approach 2:
The system introduces an intermediary mechanism in the form of device-specific IDs and a centralized synchronization process that acts as a mediator between multiple off-line devices and the central database. This intermediary layer detects and resolves ID association conflicts by comparing data from different devices against the central database, ensuring accurate matching without requiring direct communication between devices.
3Loss of information
If the system detects and resolves ID conflicts during synchronization, then data integrity is improved, but loss of time increases due to additional detection and resolution steps
Solution Approach 1:
The system performs preliminary actions by storing device-specific identifiers and log metadata locally before synchronization occurs. This preliminary preparation enables rapid conflict detection during synchronization, as the system can quickly compare pre-stored identifiers with incoming data without performing complex analyses, thereby reducing the time penalty associated with conflict resolution while maintaining data integrity.
Data Source
AI summary
Introduced are systems and methods that enable modification of logs in multiple off-line databases. Multiple off-line devices can mistakenly associate different respondents with the same identification (ID) unique to the system. When the multiple off-line devices synchronize with each other, or synchronize with a server hosting the central database, the software running on the off-line devices, or on the server detects that the modified logs come from different respondents, and the software assigns two different IDs unique to system to the logs. In another embodiment, multiple off-line devices can mistakenly associate the same respondent with two different IDs unique to the system. When the multiple off-line devices synchronize with each other or with the server, the software running on the off-line devices, or the server detects that the modified logs come from the same respondent, and the software assigns the logs to the same ID unique to system.