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Nova Context - real-time active topology

Nova Context efficiently combines and transforms information coming from the network and from multiple BSS and OSS data sources into a searchable topology and dependency model.

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Real-time topology for automated operations

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.

Real-time active topology helps:

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

Nova Adaptive Service Assurance: The right data. Right now.

Watch EXFO’s E2E automation story to learn how EXFO’s Nova Adaptive Service Assurance (A|SA)—the industry’s first service assurance-centric automation platform—quickly gives operators the right data at the right time to detect, diagnose and resolve customer-impacting events originating from communications network infrastructure and services.

Real-time topology

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.

Nova Context Path Computation

Because the combination of new technologies and M&As increases network complexity, greater demand is placed on the network infrastructure often exceeding its capabilities. As a result, automating the provisioning process becomes almost impossible. Path computation from Nova Context cross-links all silos and locates logical paths across multiple networks to deliver improved services and serve customers more efficiently.

Service impact analysis

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. 

Automated common cause analysis

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).

Change impact analysis and planning (CIAP)

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.

Key features

  • Delivers enriched dynamic topology views with on-demand linking of assurance data
  • Enables real-time and accurate service impact and change plan analysis in a dynamically changing network
  • Maintains up to date dependency between virtualised service components and physical infrastructure
  • Enables the modelling of complex entities unified from numerous individual data sources
  • Scales via the distribution model fragments across co-operating run-times

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