Dongman Lee (M’04) received the B.S. degree in computer engineering from Seoul National University, Seoul, Korea, in 1982, and the M.S. and Ph.D. degrees in computer science from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 1984 and 1987, respectively.,From 1988 to 1997, he worked as a Technical Contributor with Hewlett-Packard. From 1998 to 2009, he was a Professor with the School of Engineering, Information and Communications University (ICU), Daejeon, Korea. Since 2009, he has been a Professor with the Department of Computer Science, KAIST, and Director of the Urban Computing Research Center. His research interests include distributed systems, computer networks, mobile computing and pervasive computing.,Dr. Lee is a Senior Member of the Association for Computing Machinery (ACM).
Towards Dynamically Reconfigurable IoT Camera Virtualization for Video Analytics Edge Cloud Services
Video analytics edge computing exploiting IoT cameras has gained high attention. Running such tasks on the network edge is very challenging since video and image processing are bandwidth-hungry and computationally intensive. IoT cameras are heavily dependent on environmental factors such as the brightness of the view. In this talk, I will share my experience on Octopus, an edge IoT camera virtualization and collaboration architecture that enables IoT cameras to accommodate multiple application operation semantics and dynamically adjust their configuration to preserve the required semantics in the presence of environment context changes. I will give details on its key techologies, an ontology-based application description model, a virtualization architecture with the container technology, and a context-aware dynamic reconfiguration scheme.