• 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