Interchangeable Plugins for Server-Client Conflict Detection
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Solution Overview
Problem
Existing client-server systems require customized conflict-detection processes, which are time-consuming, expensive, and inflexible, making it difficult for developers to switch between different database architectures or conflict-detection strategies.
Innovation Solution
Preprogrammed, interchangeable plugins that implement various conflict-detection strategies, allowing users to select and integrate the most suitable approach for their system, along with corresponding application modules that can be easily incorporated into client-side applications, enabling faster, cheaper, and more flexible conflict detection and resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If customized conflict-detection processes are implemented, then conflict detection accuracy is improved, but development time and cost increase
Solution Approach 1:
The patent creates a universal conflict-detection framework that can detect conflicts across different database architectures (SQL, NoSQL, document stores, graph databases) using a single standardized interface. The framework provides preprogrammed conflict-detection algorithms that work universally across various data models and storage mechanisms, eliminating the need to develop custom detection processes for each database type while maintaining high detection accuracy.
Solution Approach 2:
The patent introduces an intermediary layer (the standardized conflict-detection framework) that sits between the application logic and the diverse database systems. This intermediary translates various database-specific conflict scenarios into a unified detection model, allowing accurate conflict detection without requiring application developers to understand or implement database-specific detection logic.
2Measurement precision
If customized conflict-detection processes are implemented, then conflict detection accuracy is improved, but implementation cost increases
Solution Approach 1:
The framework provides a universal, reusable conflict-detection mechanism that can be applied across multiple projects and database systems without requiring custom development. This single implementation serves multiple purposes and database types, significantly reducing implementation costs compared to creating customized solutions for each scenario.
Solution Approach 2:
The patent provides preprogrammed conflict-detection algorithms and standardized interfaces that can be copied and deployed across different systems. Rather than developing unique detection processes for each application, developers can replicate the proven framework, reducing implementation costs and ensuring consistent conflict detection accuracy across the organization.
3Productivity
If database architecture is changed, then system performance is improved, but customization effort increases
Solution Approach 1:
The standardized conflict-detection framework is designed to work with multiple database architectures (relational, NoSQL, document stores, graph databases) through a common interface. This allows organizations to switch between different database technologies to optimize for specific performance requirements without incurring additional customization effort, as the framework adapts to the underlying database type automatically.
Solution Approach 2:
The framework employs dynamic adaptation mechanisms that automatically adjust its conflict-detection strategies based on the underlying database architecture. When the database type changes, the framework dynamically selects appropriate detection algorithms and interface implementations, eliminating the need for static customization while maintaining optimal performance for each database type.
4Measurement precision
If conflict-detection process is customized, then detection precision is improved, but flexibility decreases
Solution Approach 1:
The framework achieves both precision and flexibility by providing a universal standardized interface that maintains consistent, high-accuracy conflict detection across different scenarios while allowing the underlying implementation to adapt to various database types and conflict patterns. The standardized layer ensures precision, while the adaptable implementations provide flexibility.
Solution Approach 2:
The framework dynamically selects and applies appropriate conflict-detection strategies based on the specific database type and conflict scenario, rather than using a fixed customized process. This dynamic adaptation maintains high detection precision for each specific case while preserving overall system flexibility to handle diverse database architectures and conflict patterns.
Data Source
AI summary
Conflicts can be detected between server-side data and client-side data using interchangeable plugins. In one example, a system can receive an interchangeable plugin from among a group of interchangeable plugins for performing conflict detection between server-side data handled by a server and client-side data handled by a client device. Each interchangeable plugin can implement a particular conflict-detection strategy that is different than the other interchangeable plugins and can be selectively integratable into an application programming interface (API) through which the client device is to communicate with the server. The system can integrate the interchangeable plugin into the API to enable the API to implement the particular conflict-detection strategy defined by the interchangeable plugin. The system can then detect a conflict between the server-side data and the client-side data in accordance with the particular conflict-detection strategy defined by the interchangeable plugin.