优化基于rfid的云上物联网应用

Hoang Minh Nguyen, S. Kim, Tuan Dinh Le, Sehyeon Heo, Janggwan Im, Daeyoung Kim
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引用次数: 7

摘要

物联网(IoT)作为物理对象的虚拟表示网络,使用射频识别(RFID)等技术来识别和跟踪对象的标签,最近受到了很多关注。虽然一些研究工作试图将物联网应用应用到现实世界中,但尚未看到可扩展的部署。因此,通过利用云技术作为数千家供应商在现实世界中部署的一种行之有效的方式,我们提出了我们的云解决方案,并优化了可扩展的基于rfid的物联网应用部署。在本文中,我们首先概述了部署基于rfid的物联网应用的挑战,然后提出了具有负载预测和迁移管理优化的云解决方案。在我们的实验中,给出了预测精度、迁移延迟和负载均衡性能的各种结果。
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Optimizations for RFID-based IoT applications on the Cloud
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.
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