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Stefan Schmid

Professor at Technical University of Berlin.

Self-Driving Networks: Vision, Enablers, Challenges

Abstract

Communication networks have become a critical infrastructure of our digital society. The resulting stringent dependability and performance requirements stand in contrast to today's manual and often inefficient way of operating networks. In this talk, I will discuss the vision of more "self-driving" communication networks, which have the potential to overcome these shortcomings. Self-driving networks are enabled by recent technological advances related to software-defined networking, virtualization, and topology programming, and, ideally, are "self-*": self-repairing, self-stabilizing, self-adjusting. We will study the opportunities and challenges of self-driving networks, and also discuss the role of network telemetry and Artificial Intelligence.

Stefan's web page

Bio

Stefan Schmid is a Professor at the Technical University of Berlin, Germany. MSc and PhD at ETH Zurich, Postdoc at TU Munich and University of Paderborn, Senior Research Scientist at T-Labs in Berlin, Associate Professor at Aalborg University, Denmark, and Full Professor at the University of Vienna, Austria. Stefan Schmid received the IEEE Communications Society ITC Early Career Award 2016 and an ERC Consolidator Grant 2019.

Belongs to: CASTOR Software Days
Last changed: Aug 15, 2022