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Design of a Cloud-based Service Platform for the IoT
Shou-Chih Lo and Varsha A. Kshirsagar

With advances in the technology of the Internet of Things (IoT), sensing applications have been widely deployed in various fields. An IoT service platform is required for such applications to efficiently manage numerous sensing devices and collect substantial volumes of sensed data. Several commercial IoT platforms provide data collection, visualization, and analysis functions. In this paper, we present the design of a cloud-based IoT platform for fulfilling certain functions such as device heterogeneity, service discovery, power saving, security protection, and anomaly detection. Users of our platform can conveniently discover and control devices operating with various protocols through a web interface. All sensed data can be browsed using various graphical interfaces, and anomalous data values can be detected using the various detection algorithms implemented on the platform. We demonstrated the system design and evaluated its performance.

Keywords: Anomaly detection, Data visualization, Device management, Service discovery, Internet of Things (IoT)

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