Understanding Service Modeling › Service Modeling Terminology and Concepts › Service Models › Federated Modeling

Federated Modeling

A federated modeling approach indicates that intelligence is distributed across integrated products. The network management tool has intelligence around the network model, the application management tool has intelligence around applications and transaction models, and so on. CA SOI combines the collective intelligence of all integrated products to derive the overall impact of any CI condition on modeled services.

The benefits of federated modeling are as follows:

• Distributed models are scalable.
• Models in each environment are optimized to suit their role within that environment.
• Leveraging existing models lowers the cost and effort of implementation.
• Models are flexible and extensible to meet the specific detail level that each service requires.

Consider the following example of federated modeling in practice:

• A service in CA SOI models an application and its dependency to a host.
• CA Spectrum models the same host and its dependency to the network and systems infrastructure.
• When a change to the operational state of the infrastructure impacts the host, CA SOI is notified through its CA Spectrum connector. CA SOI can identify the root cause of the problem using the intelligence that CA Spectrum provides without having to model the underlying infrastructure and topology in the service.