Optimizations for RFID-based IoT applications on the Cloud
Hoang Minh Nguyen, Seong Hoon Kim, Dinh Tuan Le, Sehyeon Heo, Janggwan Im, Daeyoung Kim · 2015
Internet of Things (IoT) has received a lot of attentions recently as a network of virtual representations of physical objects using technologies like radio-frequency identification (RFID) to identify and tracking objects' tags. While some research work has attempted to deliver IoT applications into the real-world, a scalable deployment has not yet been seen. Therefore, by utilizing Cloud technology as a well-proven way of real-world deployment for thousands of vendors, we propose our Cloud solution with optimizations for scalable RFID-based IoT applications deployment. In this paper, we first outline the challenges of deployment of RFID-based IoT applications, then our Cloud solution with load prediction and migration management optimizations is proposed. For our experiments, various results including prediction accuracy, migration delay and load balancing performance are presented.