Research Challenges in Edge Computing
A discussion of some of the major challenges facing edge computing. Not exclusively, these major challenges range from the underlying infrastructure construction to the programming model design, from the resource discovery to application QoS demand and optimizations. Attention must also be given to the security and privacy at each layer of this new computing paradigm.
What you will learn:
- Explain the uniqueness of Edge Computing
- Recite major research challenges that Edge Computing faces
- Describe potential research directions
This course is part of the following course program:
IEEE Introduction to Edge Computing
Courses included in this program:
Who should attend: Electrical engineer, Design engineer, Communications engineer, Systems engineer, Product engineer, Computer engineer, Software engineer, Lead engineer, Project engineer, QA/quality engineer
Songqing Chen is currently a full professor of computer science at George Mason University. His research interests mainly focus on design, analysis, and implementation of algorithms and experimental systems in the distributed and networking environment, particularly in the areas of Internet content delivery systems, Internet measurement and modeling, mobile cloud, and edge computing, network and system security, and distributed systems. He is a recipient of the US NSF CAREER Award and the AFOSR YIP Award. He is a senior member of IEEE and a senior member of ACM.
Dr. Weisong Shi is a Charles H. Gershenson Distinguished Faculty Fellow and a Professor of Computer Science at Wayne State University. There he directs the Mobile and Internet Systems Laboratory, Connected and Autonomous Driving Laboratory. He is an IEEE Fellow and a Distinguished Scientist of ACM. He was the founding steering committee chair of ACM/IEEE Symposium on Edge Computing (SEC), the author of the first Edge Computing book.
Publication Year: 2018