DocumentCode
3711817
Title
Optimizations for RFID-based IoT applications on the Cloud
Author
Hoang Minh Nguyen;Seong Hoon Kim;Dinh Tuan Le;Sehyeon Heo;Janggwan Im;Daeyoung Kim
Author_Institution
Department of Computer Science, Korea Advanced Institute of Science and Technology, Daejeon 305-701, South Korea
fYear
2015
Firstpage
80
Lastpage
87
Abstract
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.
Keywords
"Cloud computing","Radiofrequency identification","Computer architecture","Load management","Optimization","Protocols","Internet of things"
Publisher
ieee
Conference_Titel
Internet of Things (IOT), 2015 5th International Conference on the
Print_ISBN
978-1-4673-8056-0
Type
conf
DOI
10.1109/IOT.2015.7356551
Filename
7356551
Link To Document