Topological correlations focus on utilizing information about network configuration received either directly from the network (via OSS Reconciliation) or from the resource inventory (either Comarch Resource Inventory or a third-party solution) for the efficient correlation of alarms. Network topology, including physical, logical and virtualized elements, is loaded into a graph database where it is used to process events arising from the network. The expected average alarm reduction rate ranges from 30% to 70% (depending on the technology, vendor, network configuration and OSS landscape).
Topological correlations, alongside machine learning use cases are extensions of the advanced Comarch Correlation Engine, which itself is part of Comarch Fault Management. The goals are improved correlation rates, decreased mean time to repair, and supporting the automation of assurance processes.
