Workshop 1: Edge Computing for Smart Cities
Title: Recent Advances in Edge Computing, Networking, and Storage for Smart Cities

Keywords: Smart Cities, Edge/Fog computing, Edge storage, Internet of Things
A smart city is a framework, predominantly composed of advanced information and communication technologies, that enables citizens to realize high-quality life via smart services. In particular, citizens engage with smart city ecosystems in various ways using smartphones, global positioning systems, smart sensors, and connected cars and homes. The abundant smart devices must reliably and availably transmit a diverse set of data obtained in the ambient physical environments to the cloud for processing. However, the limited bandwidth of the conventional cloud often makes it difficult to handle massive and geographically dispersed connections. Edge computing is a recently advocated solution to this issue and is becoming a key enabling technology for smart cities. Through advanced edge computing and pertinent networking and storage mechanisms, computing services can be made closer to mobile devices, thereby enabling many citizen-oriented applications in smart cities. Nonetheless, edge computing still faces a series of important technical challenges, including reliable distributed storage for high-speed mobile devices, low-latency networking in complex and heterogeneous urban environments, information processing and computing with varied quality requirements, algorithms and protocols for better computing and communication service, the support for emerging applications including Internet of Things, intelligent traffic, smart home, and more.The workshop aims to bring together the leading researchers and developers from both academia and industry to discuss and present their latest research and innovations on the theory, algorithms, and system technologies that can substantially improve existing edge computing and networking or foster novel future developments for smart cities. We encourage prospective authors to submit related distinguished research papers on this subject, including new theoretical methods, innovative applications, as well as system prototypes and testbeds.
Chair: Prof. Xiaofan He |
Wuhan University
Xiaofan He, IEEE Senior Member, received the B.S. degree in electronics and information engineering from Huazhong University of Science and Technology, Wuhan, China, in 2008, the M.S. degree in electrical and computer engineering from McMaster University, Hamilton, ON, Canada, in 2011, and the Ph.D. degree in electrical and computer engineering from North Carolina State University, Raleigh, NC, USA, in 2015.
He was a tenure-track Assistant Professor of Electrical Engineering with Lamar University, TX, USA, from 2016 to 2018. He moved back to his hometown Wuhan in 2019 and is currently a Professor at the Electronic Information School of Wuhan University, Wuhan, China. His research interests are in the general areas of wireless communications and networking. His current research mainly focuses on (distributed) edge computing and the associated optimization, scheduling, learning, and statistical analysis.
He received the Exemplary Reviewer Award of IEEE Transactions on Communications in 2014 and 2015, and the Distinguished Member of Technical Program Committee Award of IEEE INFOCOM in 2018. He is currently serving as an Associate Editor for IEEE Access.