Empowering Self-Driving Networks
Patrick Kalmbach, Johannes Zerwas, Péter Babarczi, Andreas Blenk, Wolfgang Kellerer, Stefan Schmid · 2018
As emerging network technologies and softwareization render networks more flexible, the question arises of how to exploit these flexibilities for optimization. Given the complexity of the involved network protocols and the context in which networks are operating, such optimizations are increasingly difficult to perform. An interesting vision in this regard are "self-driving" networks: networks which measure, analyze and control themselves in an automated manner, reacting to changes in the environment (e.g., demand), while exploiting existing flexibilities to optimize themselves.