Abstract:
The number of interconnected smart devices in the new IoT paradigm is increasing amazingly and there is a serious risk to saturate the network connection with the traffic between smart objects and the cloud infrastructure that has to process and analyse the sensed data. Consequently, part of the computational complexity must be shifted from cloud to edge infrastructure and end devices disclosing the path to a new computational paradigm for IoT. Low cost, high-performance embedded devices are proliferating and a plethora of new platforms are available on the market. Some of them have either embedded GPUs or the possibility to be connected to external Machine Learning (ML) algorithm hardware accelerators. These enhanced hardware features enable new applications in which AI-powered smart objects can effectively and pervasively run in real time distributed ML algorithms, shifting part of the raw data analysis and processing from cloud or edge to the device itself. In the new computational model envisaged, raw data processing is performed mainly locally and in a hierarchical fashion from device to cloud, offloading the computation to the next level only when necessary. This approach will be thoroughly explored in this talk, starting from a comprehensive review of the on-going research in this area and ending with an analysis of the technological barriers, design challenges and opportunities disclosed by the new technological paradigm.
Bio:
Gianluca Cornetta was born in Salerno, Italy, in 1969. He received the Dr. Eng. degree in Electronics from Politecnico di Torino (Turin, Italy) and the Ph.D. degree in Electronics from Universitat Politenica de Catalunya (Barcelona, Spain), in 1995 and 2001 respectively. He is currently an Associate Professor with the Department of Information Engineering (DIE), Universidad San Pablo-CEU, Madrid (Spain). Prior to joining San Pablo-CEU University, Dr. Cornetta was an assistant professor with the Department of Electronic Engineering (DIE), Universitat Politecnica de Catalunya, Barcelona, a Digital Designer at Infineon Technologies Gmbh, Munich (Germany) working on embedded memories design for the automotive market, and a Programmer-Analyst at Tecsidel S.A., Barcelona (Spain) working on real-time distributed embedded systems. He has coedited two books and coauthored more than 40 book chapters and papers appearing in international journals and conference proceedings. His recent research activities are focused on the whole IoT stack, from sensor and firmware design, to data analysis and management at both edge and cloud levels. Dr. Cornetta is also serving as a Guest Editor for MDPI Electronics.
