Edge Computing towards Beyond 5G / 6G Era: Frontiers, Challenges and Platforms
David Lou, Huawei Technology, Germany
Akihiro Nakao, Tokyo University, Japan
Ivan Seskar, WINLAB, Rutgers University, USA
Luis Miguel Contreras Morillo, Telefonica, Spain
Guru Parulkar, Open Networking Foundation, Stanford University, USA
Digital transformation is accelerating to transform society, economy, and industry using rapidly evolving digital technologies such as AI and IoT. In the Beyond 5G and 6G era, edge computing will play a key role to handle huge amount of real world data close to the source or end users at very short latency to further advance digital transformation.
The expected benefits in the future networks include performance improvements, efficient dynamic reconfiguration and programmability, KPIs guarantees, reengineering the IP layer, new ultra-low-latency services and other precision services. Such benefits will be enabled by AI/ML methods (AI for NW), and enable massive AI/ML processing of real world data (NW for AI) at the edge.
This panel will review the new frontiers, research and development challenges and platforms needed for future edge computing in a context of multi-domain ecosystems (operators, equipment provides, research and others).
David Lou graduated as Ph.D. in Electronic Engineering at Ghent University in 2005. In the same year he joined the Alcatel-Lucent Bell Labs as an Innovation Researcher. He had a leading involvement and management role in several European and national research projects (Giant, Smart Touch, Metaverse1, Mistra, Shift-TV, etc.), and standardization bodies (MPEG). In 2016 he joined Huawei Technologies as a Chief Researcher based in Munich, Germany. He is responsible for defining the research strategy, steering disruptive network innovation and coordinating collaboration with industrial and academic partners. He is also leading the standardization activities in various SDOs (e.g. ITU-T, IETF, ETSI, etc.) His interests mainly covers IoT/IIoT/I4.0, next generation industrial networking architecture, deterministic communication, network privacy, video streaming and transportation, and immersive communication. He is the co-chair of the IIC Networking Task Group and has been actively involved in relevant industrial development activities. He has (co-) authored more than 30 scientific publications and white papers. He has been granted with more than 20 patents.
Akihiro NAKAO received his B.S. (1991) in Physics, M.E. (1994) in Information Engineering from the University of Tokyo. He was at IBM Yamato Laboratory, Tokyo Research Laboratory, and IBM Texas Austin from 1994 till 2005.He received M.S. (2001) and Ph.D. (2005) in Computer Science from Princeton University. He has been teaching as an associate professor (2005-2014) and as a full professor (2014-present) in Applied Computer Science, at Interfaculty Initiative in Information Studies, Graduate School of Interdisciplinary Information Studies, the University. From 2019 to present, he has served as Vice Dean of the University of Tokyo’s Interfaculty Initiative in Information Studies (2019-present). He was appointed as an adviser to the President of the University of Tokyo in 2019 and as a special adviser to the President of the University of Tokyo in 2020.He was been appointed as a chairperson of network architecture committee of 5GMF (5G Mobile Network Promotion Forum) in 2014 and also as a chairperson of international committee of Beyond 5G Promotion Consortium of Japan in 2020.