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EXFO Ontology - real-time active topology

EXFO Ontology finds, combines and transforms information relating to business entities from multiple data sources into a searchable semantic model.

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Real-time topology for automated operations

Using graph-data and semantic modeling, EXFO Ontology, our powerful network topology management solution brings you an end-to-end dynamic view of your network and services. Start managing complex, cross-domain, multilayer network 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

Contextualize all of the separate customer-impacting network elements that affect customers

Building coherent and complete views

Get an always-current model of all logical and physical assets required for the successful adoption of NFV/SDN and in the wider delivery of hybrid network services.

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EXFO Ontology can verify data to be migrated against supporting data sources such as network device configurations and spreadsheets to ensure that "junk" is not migrated and that problems in the old system are not just translated into problems in the new system

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Real-time topology

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 source of data for active 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 discovers or computes most of the relationships between data stored in communications service provider's (CSPs) systems for network and element management (NMS/EMS), billing, assurance, fulfillment, and CRM. It constructs a mapping of tags, pointers and relationships accurately representing a service and its underlying virtual, logical and physical resources.

Service impact analysis

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).

Common cause analysis (CCA)

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.

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.

Real-time active topology

EXFO Ontology provides the “always current model” of all logical and physical assets required for the successful deployment and orchestration of network functions virtualization (NFV):

  • Unparalleled real-time, end-to-end view of network, services and customers
  • End-to-end and closed-loop service assurance
  • Agility and adaptability via semantic modelling
  • Low total cost of ownership (TCO) and low risk, rapid deployment in complex hybrid environments

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