Helsinki · Finland
20–24 August 2018
14th International Symposium on Algorithms and Experiments for Wireless Networks
Stefan Schmid · University of Vienna
Schedule, Support, Adjust, and Fix: Topology Control Revolutions for Data-Aware Networks
The large-scale deployment of “smart things” equipped with sensors and wireless communication capabilities, allows us to imagine countless new applications. Such emerging networked systems also introduce interesting new algorithmic challenges. In particular, their large scale, the increasing amount of data to be processed and communicated, as well as security aspects, ask for decentralized solutions. In this talk, we will consider different example applications for such networks and discuss the new models and distributed and algorithmic challenges they introduce. I will then argue that emerging networks should become data-aware: they should schedule, optimize and fix themselves based on the actual applications and workloads they serve. On our path to data-aware networks, we will establish connections to topology control, self-adjusting datastructures and topological self-stabilization, and will finally discuss their applications in different case studies.
Stefan Schmid is a Professor at University of Vienna, Austria. He received his MSc (2004) and PhD degrees (2008) from ETH Zurich, Switzerland. In 2009, Stefan Schmid was a postdoc at TU Munich and the University of Paderborn, between 2009 and 2015, a senior research scientist at the Telekom Innovations Laboratories (T-Labs) in Berlin, Germany, and afterwards an Associate Professor at Aalborg University, Denmark. Stefan Schmid's research interests revolve around the fundamental and algorithmic problems of networked and distributed systems. Stefan Schmid received the IEEE Communications Society ITC Early Career Award 2016.