HLR Data Redundancy via Automatic Command Synchronization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current data redundancy solutions for Home Location Register (HLR) systems, such as the N+1 compatible redundancy solution, face challenges in real-time backup of dynamic data and high maintenance workload due to the need for manual synchronization of operation commands outside the business hall, limiting their effectiveness and efficiency.
Innovation Solution
A method that involves cutover of subscribers' data from master HLRs to a redundant center HLR, preserving and converting operation & maintenance commands into internal commands recognizable by the redundant center, and loading them into the host machine, thereby achieving automatic synchronization and reducing manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If N+1 compatible redundancy solution is used to backup multiple master HLRs, then investment cost is reduced and broader manufacturer compatibility is achieved, but real-time backup of dynamic data cannot be ensured
Solution Approach 1:
The redundant HLR automatically performs data synchronization with master HLRs through configured data collection mechanisms. The system self-updates by collecting subscription data, location data, and operation commands without manual intervention, ensuring real-time backup capability while maintaining N+1 compatible redundancy architecture
Solution Approach 2:
The system implements feedback mechanisms where the redundant HLR continuously monitors and collects data changes from master HLRs. Operation commands and data modifications are tracked and transmitted back to the redundant HLR, ensuring real-time synchronization and enabling reliable service takeover when master HLRs fail
2Manufacturing precision
If baseline synchronization solution is used to synchronize subscriber data, then data conformity between master and redundant HLRs is achieved, but host machine performance is greatly affected and synchronization takes too long
Solution Approach 1:
The system extracts only the necessary data elements for synchronization - specifically operation commands, subscription data changes, and location data updates - rather than performing complete baseline synchronization. This selective extraction approach maintains data conformity while minimizing host machine performance impact and reducing synchronization time
Solution Approach 2:
Instead of performing complete baseline synchronization periodically, the system implements partial synchronization by collecting and transmitting only the specific data elements that have changed since the last synchronization. This partial action approach achieves data conformity while significantly improving synchronization speed and reducing host machine resource consumption
3Ease of manufacture
If BOSS increased command synchronization solution is used, then engineering work is reduced and cost is lowered, but operation commands processed outside business hall cannot be synchronized automatically
Solution Approach 1:
The system implements a universal data collection mechanism that handles multiple types of operation commands regardless of where they are processed. The redundant HLR can automatically synchronize commands from both business hall operations and local maintenance terminal operations, making the synchronization system universally applicable to all command sources without requiring separate mechanisms
4Reliability
If 1+1 redundancy solution is used to provide redundant HLR for each master HLR, then seamless service takeover is achieved, but investment cost increases and utilization rate decreases
Solution Approach 1:
The system merges multiple master HLRs under a single redundant HLR, creating an N+1 redundancy configuration. The redundant HLR is configured to collect and synchronize data from multiple master HLRs simultaneously, enabling seamless service takeover for any of the master HLRs while improving utilization rate and reducing overall investment cost compared to individual 1+1 redundancy pairs
Data Source
AI summary
The present invention discloses a method of providing data redundancy for HLR, the method comprises: performing cutover for subscribers' data preserved in master HLRs into a redundant center HLR; preserving all successfully executed operation & maintenance commands which are associated with system data and said subscribers' data of the master HLRs during runtime of the master HLRs; transferring said operation & maintenance commands preserved in the master HLRs to the redundant center HLR; converting the received operation & maintenance commands into internal operation commands recognizable by the redundant center HLR, and loading them into a host machine of the redundant center HLR. The present invention enhances the conformity of the subscribers' data, and reduces the maintenance workload of the redundant center HLR and lowers the maintenance complexity.