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In this work, the problem of efficient configuration and management of adaptive routers is considered. Adaptive routers use intellectual models to change dynamically the parameters of the queuing policies based on various criteria. By now, the policy-based information model can be used to provide configuration data for these routers. However, the existent scheme fails to provide a set of classes for adaptive queuing models. Thus, a creation of an extension to the policy-based information model is considered and a set of possible classes is highlighted. Furthermore, an example is given that considers how parameters of an adaptive queuing model can be represented as a set of policy classes and used within the DiffServ framework.