Supporting infrastructure optimization of converged networks

Nowadays society has increasingly relied on con- verged networks as an essential mean for individuals, businesses, and governments. Strategies, models and techniques for preventing and handling hardware or software failure as well as avoiding performance degradation is, thus, fundamental for prevailing in business. Issues such as implementation and operational costs, revenues and the respective relation to key performance metrics are central for defining the required system infrastructure. Our work aims to provide system performance and dependability models for supporting infrastructure optimization aiming at business oriented metrics. We use Stochastic Petri Net as an enabling modeling approach for analytical evaluation of complex scenarios.