Generic Matrix Virtualization
About
The Generic Matrix Virtualization connector makes it possible to visualize multiple matrices in a single (virtual) matrix, so that you can abstract low-level matrices into one matrix.
Key Features
Matrix abstraction: Combines multiple physical matrices into a single virtual routing matrix.
Concatenation support: Maps and joins inputs/outputs from various matrices to form an extended matrix.
Tie-line handling: Manages internal and inter-matrix connections with automated failover and status reporting.
DCF integration: Supports the DataMiner Connectivity Framework To read out processing unit connectivity.
Use Cases
Use Case 1
Challenge: An operator needs to control and route across several physical matrices (SDI and IP) from different vendors as one logical unit.
Solution: Using the Generic Matrix Virtualization connector, a unified virtual matrix is created over multiple physical ones.
Benefit: Reduced complexity and increased routing flexibility.
Use Case 2
Challenge: Tie lines between matrices must be optimized to ensure redundancy and performance.
Solution: Tie-line configuration and prioritization are handled automatically by the connector, with fallback strategies in place.
Benefit: Increased reliability and smarter routing decisions in complex deployments.
Technical Reference
Note
For detailed technical information, refer to our technical documentation.