Abstract:

With  5G  on  the  verge  of  being  adopted as the next mobile network,  there is a need to analyze its impact on the landscape of computing and data management.  In this talk, we shall analyze the impact of 5G on both traditional and emerging technologies and project our view on future research challenges and opportunities.   With a predicted increase  of  10-100x  in  bandwidth  and 5-10x decrease in latency, 5G is expected to be the main enabler for edge computing which includes accessing cloud-like services, as well as conducting machine learning and JIT data sharing at the edge.  In this context, we investigate how 5G may speed up the development of federated learning or edge AI, and federation of small databases.  Network slicing, another key feature of 5G, allows running multiple isolated networks on the same physical infrastructure, and technically should accelerate the development of smart cities, with multiple applications planes running on the same infrastructure.  For example, mobile broadband, massive IoT sensors analytics, automotive, telemedicine, IoB, and smart factories could all use the same infrastructure but run in virtual, isolated planes.  However, security remains a main concern as virtualization is known to expose security issues, although formal verification may be applied to detect security issues in virtualized massive environments. Lastly, I shall also speculate on the disruption 5G may bring to applications and business models.
 

Bio:

Beng Chin is a Distinguished Professor of Computer Science, NGS faculty member and Director of Smart Systems Institute (SSI@NUS) at the National University of Singapore (NUS), an adjunct Chang Jiang Professor at Zhejiang University, China, and the director of NUS AI Innovation and Commercialization Centre at Suzhou, China. He obtained his BSc (1st Class Honors) and PhD from Monash University, Australia, in 1985 and 1989 respectively.  He is a fellow of the ACM , IEEE, and Singapore National Academy of Science (SNAS).Beng Chin was the recipient of ACM SIGMOD 2009 Contributions award, a co-winner of the 2011 Singapore President's Science Award, the recipient of 2012 IEEE Computer Society Kanai award, 2013 NUS Outstanding Researcher Award, 2014 IEEE TCDE CSEE Impact Award, and 2016 China Computer Federation (CCF) Overseas Outstanding Contributions Award. He was a recipient of VLDB'14 and VLDB’19 Best Paper award.