Ontology Intelligent 360 for Network Operators

Using the Ontology Dynamic Network Model, constructed from data about your network and service, without the cost and risk associated with traditional data integration, Ontology Intelligent 360 for Network Operators provides the visibility you need to address major challenges in network operations.

Network Troubleshooting

Ontology Intelligent 360 for Network Operations provides fault management teams with the information they need to act - and get it right first time.

Real-Time Service Impact Analysis

Modern fault management systems are good at identifying what has gone wrong when a network failure or degradation occurs. What your fault management system can’t tell you is how much it matters. Large networks can easily have hundreds if not thousands of open technical faults at any given time, but without knowing how each of them is impacting the business, you can’t correctly allocate scarce resource to fix efforts or effectively manage customer communications about the consequences of the problem.

Existing solutions to this problem are, at best, extremely labour-intensive, requiring the linkage between network infrastructure, services and customers to be manually maintained and updated. They are labour-intensive because fault management tools enforce a strict model on how you must link your data. Ontology Intelligent 360 for Network Operators uses the Dynamic Network Topology Model created by Ontology 4’s Graph Search Data Alignment and Linking Engine to remove this restriction, meaning you can link data from many sources, enriching the fault with such things as contact details, SLA levels and cost of SLA breach.

Fault Analysis

When things go wrong, even when an alarm is generated, it’s difficult to determine the cause due to duplicate alarms and multiple alarms from layered equipment or protocol entities. Furthermore, if there’s legacy equipment involved which doesn’t produce alarms, even your fault management system can’t help you.

Manual investigation is a very difficult, complex and time-consuming process that requires scarce specialist knowledge. In contrast to most fault management root cause analysis systems, which use statistical approaches to try and determine the root cause of a group of clustered alarms, Intelligent 360 for Network Operators has a new approach which uses structural knowledge of the network connectivity to find network elements implicated in faults reported by the network. We call this Common Cause Analysis (CCA).

RAN Health Check Cards

Performance Management systems provide the infrastructure for collecting and storing measurement data from the Radio Access Network and calculating network KPIs from it, but without a comprehensive understanding of the underlying backhaul transport layers and their condition, joining up the dots between poor KPIs and their causes is painstaking.

Ontology Intelligent 360 for Network Operators RAN Health Check Cards bring together KPIs from performance management systems, threshold breach alarms and the Ontology Dynamic Network Topology Model to give operators all the information they need to track down the cause of degraded network performance in one place.

Infrastructure and Customer Navigation

Using Intelligent 360 for Network Operators, network and service operations centres can visualise networks directly, with important details such as protected and diverse connections clearly presented and configured to give just the level of detail needed by users.

Infrastructure and Customer Navigation

Infrastructure and Customer Navigation provides your Customer Service, Service Fulfilment, Fault Management, Change Management and Account Management teams with an up-to-date picture of how a customer’s network and services are configured, and a complete and consistent view of the customer themselves.

Instead of attempting to manually collate information by accessing multiple systems, users are presented with accurate and complete information through a single, intuitive, search-based interface. The result is that users are better informed and more credible to their customers, which leads to quicker dispute resolution, faster provisioning, happier customers and increased up-sell revenue.

Dynamic Topology for NFV Service Assurance

Network Functions Virtualization (NFV) and Software Defined Networking (SDN) are ushering in a step-change in the degree of automation in CSP network operations.

To deliver true end-to-end service assurance in these next generation networks, data from the “classical” network, the OSS and the BSS must be brought together. Intelligent 360 for Network Operators makes this possible.

End-to-end service assurance requires complete visibility of all the physical and logical entities that participate in the delivery of a service alongside the associated information in the OSS and BSS. Data from the “classical” domain is complex and messy; data from the NFV domain is very fast moving.

Using Ontology 5’s dynamic data capabilities and the extreme flexibility of graph-data and semantic modelling, Intelligent 360 for Network Operators is able to bring these worlds together.

The resulting up-to-date and comprehensive information model is available directly to end users through the Ontology web UI or for access by MANO and OSS functions.

Change Management

Ontology Intelligent 360 for Network Operators enables change management teams to manage change packages through their complete lifecycle, confident in the knowledge that the impact on services and customers is being correctly and effectively handled.

Planning changes or upgrades to network infrastructure, as well as disaster planning, are all essential disciplines, but without complete and up-to-date information, decisions may be made that negatively impact on customers or carrying capacity. Ontology’s Intelligent 360 for Network Operators allows your Change Management team to carry out “what if?” analysis to see what and who will be impacted by planned changes. Whilst a single Network Management System that operates at one layer in the infrastructure may be able to conduct change management for the services it manages, conducting complex “what if?” analysis across all layers of the infrastructure is often a lengthy, manual and error-prone task.

Intelligent 360 for Network Operations lets you plan changes to your network, visualise their impacts on everything from the network up to customers, understand how change packages affect one another and provide accurate and timely change notification to your customers.

Real Time

As NFV moves from labs and trials into production, the need to assure the services it delivers has become urgent, but legacy tools struggle to deliver because they are unable to absorb the new reality of automated, high-speed orchestration.

Ontology 5 builds a real-time service topology across legacy, physical, logical and virtual service components and uses it to power next-generation service inventory and assurance functions for NFV, hybrid and multi-domain services.

This complete view of service elements, at all layers in the infrastructure in complex and high-automation environments, is indispensable to operationalising NFV, enabling functions such as:

  • Service assurance and service impact analysis in both next-generation and hybrid environments
  • Fault investigation
  • Coordination of multiple orchestration components
  • Close integration with the OSS/BSS - required for functions such as order and trouble ticket management

Building coherent and complete views of “legacy” infrastructure and services is a hard problem because of the variety and quality of the source data required to do so: it is spread out over many systems and is generated by processes with many manual steps that introduce noise. This is a problem that Ontology 5’s Intelligent 360 for Network Operators has already solved.

The high-automation in virtualised environments will mean that data is of much higher quality – within each of those environments – but it will nevertheless come from a range of sources – VIMs, orchestrators, data centre management and, of course, the OSS - and it will be much higher velocity data. OSS and network data will start to look like “big data”: high velocity, high volume and high variety. Ontology 5’s real-time features are ready to address this.

Cost-effectively combining these two worlds is what Ontology 5 does, so you can continue to know your network: now.