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Common cause analysis

Accelerates the troubleshooting process by automatically finding the set of "common cause" entities associated with a set of network elements affected by service degradations.

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Unique model of network and service topology

EXFO Ontology’s common cause analysis (CCA) module creates a unique model of 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 any infrastructure equipment shared by groups of services or network issues that are occurring simultaneously—even when there is no obvious direct connectivity between the network elements involved. Candidate equipment for investigation is ranked based on the assurance status to quickly help with root-cause identification; 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.

Common cause analysis helps:

Troubleshoot causes across multidomain networks

Effectively prioritize fault investigations

Reduce operational costs

Improve resolution times

Enable root-cause analysis

Rapidly resolve problems affecting customers and services by finding the common points of failure in difficult-to-diagnose dispersed service degradations.

When pinpointing outage sources, operators typically start by consulting historical data concerning alerts and degradations. Manually, they sort through data to eliminate least likely causes while contacting other departments to figure out which other resources might be affected further on down the network.

EXFO Ontology removes all that guesswork and manual intervention. It uses topology to understand shared network architecture to take the guesswork out of the troubleshooting process. It highlights which is the likely piece of hardware causing a problem then maps the connections between that equipment and others across the network.

Manual troubleshooting processes are dependent on the knowledge of short-in-supply, yet high-in-demand experts. Relying on a small pool of people to understand the structure of a network puts operators at risk should that understanding be imprecise or those experts be either unavailable or decide to leave the company altogether.

EXFO Ontology takes knowledge about a network’s topology and turns it into a universal reference, valid for everyone in the organization to make problem investigation more accurate and predictable.

EXFO Ontology helps operators achieve faster resolution times by reducing reliance upon already overburdened experts. Operators can delegate more widely to resolve issues faster and deliver better service quality to subscribers.

Automated troubleshooting

The common cause analysis module (CCA) searches the topology to find a set of potential causes. These causes are entities common to the symptom set, which means they can be linked via demonstrable topological dependencies. CCA then presents data from multiple measurement, fault management and work order management sources to further analyse and prioritize the symptom set.

Faster troubleshooting

CCA is much faster than the traditional manual approach: it typically produces an ordered shortlist of potential root causes in a matter of seconds, which has a dramatic effect on strategic planning and productivity.

Flexible troubleshooting

The CCA algorithm is not domain specific. It is fully generalized to work with any functional dependencies that are modelled in the topology—for example, between IT systems and their dependent clients or between network nodes and services and their dependent users.

Características principales