Automated 5G Network Connection Redistribution via Global Registry
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cellular networks face performance issues due to the manual redistribution of network connections between data centers, which is time-consuming and introduces downtime, reducing network throughput and effectiveness.
Innovation Solution
A method involving the recording of performance metrics, storing network connections in a global connection registry, identifying backlogs, and generating updated connection assignments to automatically redistribute connections between data centers, thereby optimizing network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual redistribution of network connections is performed, then network connections can be moved between data centers, but it is time-consuming and introduces downtime
Solution Approach 1:
The system performs preliminary actions by establishing new connections at the target data center before tearing down the old connections at the source data center. This preparatory establishment of connections ensures that network traffic can be immediately redirected without interruption, eliminating downtime during the redistribution process.
Solution Approach 2:
The system introduces a global connection registry as an intermediary that coordinates the connection redistribution process across multiple data centers. This central registry manages the sequencing and synchronization of connection operations, enabling seamless transition between data centers without service interruption.
2Productivity
If the number of connections increases to handle transaction load, then network capacity increases, but network performance is impacted
Solution Approach 1:
The system dynamically redistributes network connections between data centers based on real-time performance metrics and load conditions. By continuously monitoring network health and transaction volumes, the system automatically adjusts connection distribution to optimize both capacity and performance, preventing any single data center from becoming overloaded.
Solution Approach 2:
The system implements feedback mechanisms by monitoring performance metrics from multiple data centers and using this information to guide connection redistribution decisions. This closed-loop control ensures that connections are moved to data centers that can handle the load efficiently, maintaining overall network performance while scaling capacity.
3Loss of time
If automated connection redistribution is implemented, then downtime is reduced, but system complexity increases
Solution Approach 1:
The global connection registry serves multiple functions: it tracks active connections, coordinates redistribution operations, stores performance metrics, and manages the sequencing of connection operations across data centers. This multi-functional design consolidates complexity into a single centralized system rather than requiring complex coordination between multiple distributed components.
Data Source
AI summary
The disclosed embodiments involve recording performance metrics for network connections in a centralized database, storing network connection data in a global registry across multiple data centers, detecting backlogs at specific data centers linked to network elements and connections, and generating updated connection assignments. These assignments include identifiers for the involved data centers and connections. Upon receiving a connection assignment update notification, the method updates the network connection and communicates the first data center's connection state to the global registry.