Dr. Sven Helmer, Ph.D.

Free University of Bozen-Bolzano, Italy

Raspberries on the Edge

With the advent of the Internet of Things (IoT), billions of new devices will join the data networks, many of them generating data streams originating from sensors or other sources. Instead of pushing all this data to centralized (cloud) servers, it makes a lot of sense to preprocess, analyze, and aggregate it on site. This is the central idea of edge computing, reducing storage requirements for central servers, lowering the network load, and also decreasing reaction times for time-critical applications. Deploying the necessary infrastructure for edge computing is already a challenge in well-developed, urbanized settings, it is even harder to do so in harsh environments located in rural and remote areas. Platforms based on small single-board computers, such as Raspberry Pis, could ameliorate this situation by providing a solution with low costs and power consumption. In this keynote we look at some of the challenges faced by edge computing in general and also explore particular low-resource scenarios.

Biography of Dr. Sven Helmer

Sven Helmer is an Associate Professor in the Faculty of Computer Science at the Free University of Bozen-Bolzano, Italy, after holding a position as Senior Lecturer at Birkbeck, University of London. He obtained a PhD from the University of Mannheim, Germany, an MSc in Computer Science from the University of Karlsruhe, Germany, and also spent some time as a visiting professor at the University of Heidelberg. He is currently teaching courses on databases and information security; his research interests include database systems, cloud computing, Raspberry Pis, query optimization, route planning, as well as interdisciplinary research in the areas of information systems and ethnography. He has published more than 70 peer-reviewed papers and book chapters.

Dr. Patrick Demichel

Hewlett Packard, France

The future of IT technologies

Our society and industry are facing a large number of MegaTrends; the IIoT “Intelligent Internet of Things” and Machine Learning are some of the most promising. At the same time, we observe many signs that we are reaching some fundamental limits of our old technologies and infrastructures. Our labs demonstrated a decade ago that we have no choice but to implement a radical and holistic transformation, if we expect to reach the Exascale frontier at a reasonable power envelop. We anticipated also a set of news problems, like edge computing and its requirements in term of security. This large research program called “The Machine” is now entering its final development phase with a group of partners grouped in a consortium named “gen-Z” . We will explore what are the fundamental bricks enabling this historical evolution of our architectures. We will also consider some implications on how we could solve our most challenging problems in a short future; with a huge potentiality for the IIoT, Exascale and ML ecosystems.

Biography of Dr. Patrick Demichel

Bio is Here