Webinar reproducibility: Markus Schuß (TU Graz, Austria), D-Cube: from EWSN dependability competition to an open benchmarking infrastructure

Abstract
Facilitating the comparison of the performance of protocols and systems powering today’s IoT solutions requires rigorous testing to obtain objective measurements to ensure that individual experiments did not just get a lucky run or perform well in only a single specific scenario. Further, to ensure the repeatability of the results, both the setup and execution of the experiment (as well as the environment in which the experiment is run) must be tightly controlled without the need for any in-depth knowledge of the setup or involvement of the experimenter.
Designed for a “one-off” competition in 2016, the D-Cube benchmarking infrastructure has been successfully used for a series of dependability competitions co-located with the International Conference on Embedded Wireless Systems and Networks (EWSN). Instead of being a yearly competition open to a few registered participants, in 2020 D-Cube was opened as an open benchmark for low-power wireless protocols and systems to the public allowing researchers and practitioners from all over the world to employ its unique set of features to autonomously run experiments with a high degree of repeatability. This webinar will highlight D-Cube’s history and features, as well as provide an outlook on current developments.

Bio
Dr. Markus Schuß currently works postdoc at the Institute for Technical Informatics of Graz University of Technology, Austria from which he received his PhD degree in Information and Communication Engineering in 2022. His research interests encompass the development of low-power wireless devices and benchmarking infrastructures, as well as the evaluation of the robustness and energy efficiency of wireless communication protocols used in the Internet of Things and in industrial automation. For this doctoral thesis, he developed a benchmark for low-power wireless systems to evaluate and compare key metrics such as the energy efficiency, latency, and reliability of state-of-the-art IoT devices and protocols.