Algorithms for Efficient Management of Large-Scale Virtualized Networks by means of Advanced Learning and Reasoning Techniques

The promising concept of geometric routing in large scale telecommunication networks will be extended to accommodate simultaneous embedding construction and dynamic assignment of virtual network functions. This requires extensive research into novel methods that tightly integrate learning and reasoning, using current and historical network and traffic information and capturing network dynamics via temporal dependencies.