Advanced OSS and BSS will be expected to operate cooperatively and across multiple domains and business layers. This can be reached with shared information models providing a comprehensive insight into the entire operated heterogeneous environment. This paper contributes to this vision in two respects. It first introduces a technique for creating a federated information model by inter-relating existing and potentially very different domain specific models. Furthermore, the resulting federated model is used as structural base for defining probabilistic analysis with a Bayesian network. This demonstrates how valuable insights can be obtained through model federation rather than solely relying on separated models reaching only a limited set of information.
['Jörg Niemöller', 'Leonid Mokrushin', 'Konstantinos Vandikas', 'Stefan Avesand', 'Lars Angelin']
Model Federation and Probabilistic Analysis for Advanced OSS and BSS