Adaptive Private Network Database Schema Migration
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Solution Overview
Problem
Current network management techniques are inefficient and costly, particularly in large and complex networks, as they often require static configurations that do not adapt to changing data flow patterns, leading to suboptimal resource allocation and increased errors in configuration and monitoring processes.
Innovation Solution
An adaptive private network (APN) with a centralized management system that includes automatic database schema migration, dynamic conduit creation, and real-time monitoring, allowing for timely configuration updates, optimized resource allocation, and reduced errors through a centralized network control node that provides timing and control to client nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static configurations are used for network management, then device complexity is reduced and ease of operation is improved, but adaptability to changing data flow patterns deteriorates and resource allocation becomes suboptimal
Solution Approach 1:
The patent implements dynamic configuration management where network parameters, database schemas, and resource allocations automatically adapt to changing data flow patterns and network conditions. The system continuously monitors network state and adjusts configurations in real-time, transforming static network management into a dynamic process that maintains both ease of operation through automation and adaptability to changing conditions.
Solution Approach 2:
The system employs feedback mechanisms by continuously monitoring network performance metrics, data flow patterns, and database operations. This feedback is used to automatically adjust network configurations, migrate database schemas, and reallocate resources, creating a closed-loop control system that improves adaptability while maintaining operational simplicity through automated decision-making.
2Productivity
If manual configuration and monitoring processes are used, then device complexity is reduced, but productivity deteriorates due to repeated static configurations and increased errors
Solution Approach 1:
The patent implements self-service automation where the network management system performs configuration updates, database schema migrations, and resource allocation automatically without human intervention. The system monitors its own state, detects changes in data flow patterns, and executes appropriate configuration adjustments, thereby dramatically improving productivity while managing complexity through centralized automated control.
Solution Approach 2:
The system performs preliminary actions by pre-configuring database schemas, network parameters, and resource allocations based on predicted or historical data flow patterns. This proactive approach allows the system to be prepared for anticipated changes, reducing the need for reactive manual configurations and improving overall productivity while maintaining systematic control.
3Adaptability or versatility
If centralized management with automatic database schema migration is implemented, then adaptability and productivity are improved, but device complexity increases
Solution Approach 1:
The patent segments the centralized management system into distinct functional modules: database schema migration management, network configuration management, resource allocation, and monitoring components. Each module handles specific tasks independently, which improves adaptability through specialized functionality while managing overall system complexity through modular architecture and clear separation of concerns.
Data Source
AI summary
System and techniques are described which apply a method for automatic database schema migration. An initial database is installed, according to rules that define tables of data, in an adaptive private network (APN) having a centralized management system including a network control node (NCN) coupled through the APN to a plurality of client nodes, wherein the NCN provides timing and control to the client nodes. An update to the initial database is received, wherein the initial database includes a first table of data stored in a first set of columns and the updated database includes a modified first table having a second set of columns that has a different number of columns as compared to the first table is automatically detected. One or more columns from the second set of columns that are different than the first set of columns are updated for data content.