Using graph-data and semantic modeling, Nova Context (previously known as 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 Nova Context 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, Nova Context 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, Nova Context'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.
Nova Context's automated common cause analysis uses innovative and unique topology data to answer the question: what do all these entities have in common? This is significant because it automates one of the most expensive (in terms of lost customer revenue and operational expenditures) and labor-intensive tasks in order to resolve network faults in a way that is applicable to all communication service providers (CSPs).
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.