Using graph-data and semantic modeling, EXFO Ontology brings you an end-to-end dynamic view of network, services and customer dependencies that's kept constantly up to date. Start managing complex, cross-domain, multilayer network and service topologies with ease.
Search through a dynamically changing topology; a one-stop shop for your network and service asset details
Link real-time network, service and customer data sources with ease
Explore up-to-date element status and dependency through topology views and dashboards
Track real-time network deployment and configuration
Identify misconfigurations and data quality issues
Contextualize all of the separate customer-impacting network elements that affect customers
The EXFO Ontology real-time active topology platform and modules are used for network service and customer assurance applications. They are also used as a complement to inventory systems to support visualization, troubleshooting, workflow and data alignment for network operations center (NOC), service operations center (SOC) and care systems.
With its graph-data-based approach and a graph pattern matching inference/rules engine, EXFO Ontology models the relationships between data stored in communications service provider's (CSPs) siloed systems for network management (NMS/EMS), billing, assurance, fulfillment, and CRM. It then maps those relationships into an accurate representation of services and their underlying virtual, logical and physical resources.
For CSPs delivering sophisticated and often complex services to their customers, EXFO Ontology’s service impact analysis module automatically determines the customer-facing effects of network faults. This enables the effective prioritization of repair activity according to the priorities of your business—not the whims of your operations support system (OSS). It can also support an automated customer notification process workflow.
The EXFO Ontology CCA module uses a unique model of the network and service topology, built using graph-data that emphasizes connectivity within the model. It enables service and network operations teams to quickly and automatically identify the most probable root cause shared by groups of service or network issues that are occurring together—even when there is no obvious direct connectivity between the network elements involved. Candidate equipment for investigation is ranked by likelihood; if a single common cause cannot explain a group of service issues, the EXFO Ontology CCA module divides the service issues into clusters, each with their own ranked lists of candidates.
CIAP allows the plan supervisor to investigate the scheduling of plans to determine whether costs can be reduced by combining overlapping changes, or to see if rescheduling conflicting changes can remove calculated change plan collisions. This helps avoid potential outages and service degradations. Centralized coordination of multiple change plans can also help reduce both the cost and length of disruptions by combining changes that impact the same parts of the network or the same top-level services.